Postconvention Workshops

Through recent decades of intensive research, especially the latest advancements in GPU computing technology and Deep Neural Networks algorithms, machine learning (ML) and artificial intelligence (AI) have now established their great potential in areas such as social networking, e-commerce, computer vision, natural language processing, and robotics. Workflows based on data analytics and machine learning have recently captured the Geoscience community’s attention, as evident in the significantly increased number of related papers presented at international meetings. Early ML solutions to problems such as fault, salt, and other geobody identification, as well as multivariate well log analysis have provided interesting perspectives and promising results.

These observations raise the following questions:

• What other geoscience problems can be formulated as data analytics and machine learning problems?
• What is the amount and quality of geoscience data and labels required for data analytics and machine learning to solve these problems? How can modeled synthetic data be beneficial and what's the preferred training and learning strategy (e.g., supervised vs unsupervised, transfer learning, local vs global)?
• What is the overall performance value (complexity, accuracy and interpretability) expected from data analytics and machine learning relative to existing (physics-based) solutions?
• What guidance, if any, is available to help design algorithms and model structures given particular types of geoscience problems, such as the network structures in Deep Learning?
• What are the overall investments (infrastructure, software, expertise) necessary to get started and harvest value from data analytics and machine learning?

These problems are certainly not unique to geoscience. In this workshop we plan to bring experts from both geoscience and AI/ML communities. Through a series of technical presentations and discussions, this workshop will help the SEG community understand and leverage recent developments in data analytics and machine learning. The goal of this workshop is to provide better understanding of the opportunity space for data analytics and machine learning models and algorithms, as well as identify the R&D required to develop these algorithms into technology that works with realistic data sets with high accuracy and reasonable complexity.

Workshop Schedule

1:30 PM – 1:35 PM
Introduction
Ramesh Neelamani

Session 1: Overview 1: Chair: Wenyi Hu & Neelamani Ramesh

1:35 PM – 2:00 PM
Data Science and Machine Learning for the Upstream: From the digital oil field to deep learning and beyond
Thomas Halsey, XOM

2:00 PM – 2:25 PM
Riding the wave of digital transformation in geophysics
Dimitri Bevc, CVX

2:25 PM – 2:50 PM
Machine Learning for Geoscience Applications
Aria Abubakar, SLB

2:50 PM – 3:10 PM
Panel

3:10 PM – 3:25 PM
Break

Session 2: Overview 2: Chair: Weichang Li & Ali Tura

3:25 PM – 3:50 PM
Combining physics modeling with data science for better subsurface analysis and decision making
Detlef Hohl, Shell

3:50 PM – 4:15 PM
Department of Energy/National Laboratories’ Physics-Based Approach to Machine Learning
Alan Cohen, DOE

4:15 PM – 4:40 PM
Crowdsourcing to build a SaltNet: Kaggle-TGS Salt Identification Challenge
Arvind Sharma, TGS

4:40 PM – 5:00 PM
Panel

Improving resolution is one of the most common and critical needs in seismic imaging; it has also been one of the more elusive goals. While there are natural limits to the ultimate potential resolution of seismic reflection images, we believe that current approaches are not reaching those limits. One approach to improving resolution is improving seismic acquisition. This includes broadband acquisition techniques, denser spatial sampling, and improved seismic sensor systems. Another approach is to apply innovative processing techniques. These might include bi-directional decon, spectral decomposition, broadband processing, improved velocity estimates, and so on. Improvements in computational capabilities, new mathematical ideas such as sparse inversion, and the continuous improvements in seismic acquisition may set the stage for significantly increasing the resolution of our seismic images.

Workshop Schedule

1:30 PM – 1:35 PM
Introduction to "New technologies to revolutionize resolution…"
John Etgen, Sergio Chavez-Perez and Ray Abma, BP and IMP

Session 1: The case for Improved Resolution, Keynote Addresses

3:55 PM – 2:00PM
In pursuit of increased resolution while preserving amplitude fidelity
Joe Reilly, ExxonMobil

12:00 AM – 2:25PM
Some remarks on improving resolution
Hamish MacIntyre, Shell

4:50PM – 2:35PM
Discussion /Feedback on session 1: "Have we made the case?"
All

2:35PM – 2:50PM
Break

Session 2: Technical solutions with acquisition aspects

2:50PM – 3:15PM
The marine seismic “broadband revolution” – removing ghosts of the past for a better resolved future
Sverre Brandsberg-Dahl, PGS

3:15PM – 3:40PM
Broadband seismic data and the importance of acquisition
Gerrit Blacquiere, Delft University

3:40PM – 3:50PM
Discussion/ Feedback on session 2
All

Session 3: Technical solutions involving processing

3:50PM – 4:15PM
Holographic Imaging for extending seismic resolution
Norman Neidell, Paradigm and Neidell Associates

3:55 PM – 4:40PM
Importance of Having Optimal Focusing Velocity to Achieve Higher Resolution Images off of Diffractors
Jacques Guigne, AcousticZoom

5:00PM – 4:50PM
Discussion / Feedback on session 3
All

11:40 AM – 5:00PM
Discussion / Audience participation / Way forward / Wrap-up
All

By posing migration as a linear inverse problem, Least-Squares Migration (LSM) may potentially correct imaging problems due to irregular acquisition geometry, uneven subsurface illumination and even a coloured wavelet. In comparison with conventional imaging algorithms, it can therefore produce images with better amplitude fidelity, fewer migration artifacts and higher resolution. In recent years, the least-squares formalism has been applied to enhance all the main migration algorithms (RTM, WEM and Kirchhoff) in various geological settings. Current implementations divide broadly into two classes - "data domain", involving an iterative migration and demigration process, and "model domain", in which an estimate of the inverse Hessian is applied to a migrated image, via, for example, the use of point spread functions. While the cost of the former is, by construction, at least an order of magnitude greater than that of the underlying migration algorithm, obtaining a good result with current formulations of the latter approach may also be expensive in complex media. Nonetheless the increasing number of case histories in which these techniques have been applied shows that many companies are prepared to pay the price. However, it remains a topic of active research on a number of fronts.

This workshop will provide a forum to share the successes and challenges of Least Squares Migration in its various forms, propose best practices and establish the way forward for the technique. A set of invited talks will review the state of the art and some of the ongoing research in LSM, including work on:

• more efficient LSM algorithms and implementation strategies
• tolerance to errors in model parameters and estimated source signatures
• control of the impact of noise in the data

This will be followed by an extended discussion period offering the chance for all to contribute to a vision of the evolution of this technique and of seismic imaging more generally.

Workshop Schedule

1:30 PM – 1:35 PM
Introduction
Committee Member

Session 1: Least squares WEM, Kirchhoff migration

1:35 PM – 2:00 PM
Twenty Five Years of Least Squares Migration: Current Developments and its Future
Jerry Schuster, KAUST

2:00 PM – 2:20 PM
Full Wavefield Imaging by Least-Squares Inversion
Nizar Chemingui, PGS

4:15 PM – 2:40 PM
Hybrid Approach for Least Squares Migration
Bin Wang, TGS

11:50 AM – 3:00 PM
Using preconditioned least-squares Kirchhoff migration for better shallow imaging of spatially sparse dual WAZ data
Huifeng Zhu, CGG

2:50 PM – 3:10 PM
Break

Session 2: Least squares RTM

3:10 PM – 3:30 PM
Prestack Least-Squares RTM: Issues and adaptations for data from salt provinces
Cyril Agut, TOTAL

5:00 PM – 5:00 PM
Robust least-squares reverse time migration with inaccurate velocity models
Yunyue (Elita) Li, National University of Singapore

3:50 PM – 4:10 AM
Least-squares reverse time migration of controlled order of multiples
YiKe Liu, Chinese Academy of Sciences

4:10 AM – 4:30 PM
The beauty and the beast of linear sampling
Aaron Prunty, Center for Wave Phenomena

4:30 PM – 5:00 PM
Open Panel Discussion

In seismic processing, we have robust workflows for modelling and prediction of sea surface related multiples in our datasets. Although there are still practical challenges there is a good understanding on how to deal with these types of multiples in production. Most of the challenges are related to sampling of the field, lack of near offset measurements, post-critical and diffracted multiples.

However, internal multiples - defined as multiply reflected events with all reflections occurring below sources and receivers in a surface seismic experiment are usually ignored in production processing of seismic data. Relatively small amplitudes compared to surrounding primaries and poor discrimination, often due to minimal moveout differences are some of the reasons for ignoring them. More than anything and despite continuous development in academic groups, the complexity to predict internal multiples and the challenges in subtracting them without harming primaries have traditionally slowed the practical progress in this field. This is changing now. As we try to better explain our reservoirs and to extract more detail out of our seismic data, internal multiple prediction and removal is becoming more important. For example, reducing uncertainties related to internal multiples can be critical in producing areas where reservoir properties are derived from seismic data and a detailed understanding is required for identification of drilling targets.

In this workshop we would like to bring attention to the business impact of internal multiple prediction and removal technology. We would like to highlight the impact of remnant internal multiples in the data used for interpretation and quantitative analysis.

Workshop Schedule

1:30 PM – 1:35 PM
Introduction

Session 1: Internal multiple modeling and practical application part I

1:35 PM – 1:50 PM
Knt Speaker: A new and comprehensive perspective on the role of primaries and multiples in seismic data processing for structure determination and amplitude analysis
A. B. Weglein, Univ. of Houston

1:50 PM – 2:05 PM
QI workflow for ISS internal long-period multiple suppression
F. Hilterman*, M. Pareja, F. Nicholson, Geokinetics/Univ. of Houston

2:05 PM – 2:20 PM
Marchenko redatuming on field data using an adaptive double-focusing method
M. Staring*, J. van der Neut, K. Wapenaar, Delft Univ. of Technology

2:20 PM – 2:35 PM
Understanding and Identifying Internal Multiples: Current tools and how they are connected with optimal parametrization and improved QC practices
F. X. de Melo*, C. Kostov, James Wu, Jin Wu, WesternGeco

2:35 PM – 2:50 PM
Model-free internal multiple elimination in data domain
L. Zhang* and E. Slob, Delft Univ. of Technology

2:50 PM – 3:00 PM
Break

3:00 PM – 3:20 PM
Open Panel Discussion I

Session 2: Internal multiple modeling and practical application part II

3:20 PM – 3:35 PM
Knt Speaker: Should imaging with multiples replace primary-multiple separation algorithms?
E. Verschuur, Delft Univ. of Technology

3:35 PM – 3:50 PM
Internal multiple attenuation: Practical challenges and strategies
H. Huang*, G. Dutta and P. Wang, CGG

3:50 PM – 4:05 PM
Practical and Computational Issues in Internal Multiple Prediction
K. Innanen, Univ. of Calgary

4:05 PM – 4:20 PM
Internal multiple attenuation to reduce the risk in quantitative interpretation
E. Sadikhov*, A. C. Ramírez, L.T. W. Sigernes, O. E. Aaker, B. Arntsen, Equinor ASA

4:20 PM – 4:35 PM
The challenges of internal multiple elimination
C. Tsingas*, D. Zhang, M. S Mubarak, R. Hegge, H. Kutcha, R. van Borselen, Y. Luo, Saudi Aramco

4:35 PM – 4:55 PM
Open Panel Discussion II

4:55 PM – 5:00 PM
Closing Remarks

This session is a deep dive into cloud computing and Deep Learning as enabling technologies for Oil and Gas. It will focus on techniques and algorithms based on Subsurface and transfer learning from other industries that can be leveraged to accelerate learning and adoption of deep learning and cloud for subsurface applications.

Workshop Schedule

1:30 PM – 1:40 PM
Introduction
Kenton Prindle/Felix Hermann/Gerard Gorman; Google

Session 1: Cloud based Applications and Demos

1:40 PM – 2:25 PM
Session 1: FWI in Cloud
Gerard Gorman; Imperial College

2:25 PM – 3:10 PM
Session 2: RTM in the Cloud
Felix Herrmann; Georgia Tech

3:10 PM – 3:55 PM
Collaboration in the Cloud
Charles Jones; OsoKey

3:55 PM – 4:15 PM
Seismic ML in the Cloud
Kenton Prindle; Google

4:15 PM – 4:30 PM
Break

Session 2: Cloud Based use Cases

4:30 PM – 4:50 PM
Cloud Native Architecture for HPC
Kanai Pathak; Google

4:50 PM – 5:10 PM
Cloud Native Platforms

5:10 PM – 5:30 PM
Panel Discussion

Among many challenges facing the huge need for increasing our hydrocarbon recovery and monitoring of injected fluids for safe disposal is a cost effective, practical, areal reservoir surveillance technology. In the lower oil price environment that now forms part of our working environment, surveillance must be smart, cheap and practical. Access to new resources is becoming harder and production decline is shadowing most of our mature assets. Thus, the need for better management through surveillance technologies is badly needed. In this workshop, we will discuss:

• new technology advancements in reservoir surveillance
• example from assets with smart, cheap and practical reservoir surveillance
• cross comparison between producing fields, injection efficiency and containment
• where is the balance between cheap and effective reservoir surveillance
• out-of-the-box ideas and technologies that can be implemented in reservoir surveillance

This workshop will facilitate an open discussion among operators, vendors and academia about their experiences. We will explore potential ways forward for generating value in a fit-for-purpose flow that meets our demands in the current economic environment.

Workshop Schedule

1:30 PM – 1:35 PM
Welcoming & Introduction
Hesham Ebaid, Shell

Session 1

1:35 PM – 2:00 AM
Maturing 4D DAS VSP for frequent monitoring in deepwater
Albena Mateeva, Shell

2:00 PM – 2:25 PM
Fit-for-purpose downhole seismic monitoring of CO2 geo-sequestration
Stanislav Glubokovskikh, Curtin University

2:25 PM – 2:50 PM
Recent progress in time-lapse processing and imaging
Rongxin Huang, CGG

2:50 PM – 3:15 PM
Discussion
Michel Verliac, TOTAL S.A.

3:15 PM – 3:30 PM
Coffee Break

Session 2

3:30 PM – 3:55 PM
Impact of Independent Simlteneous Shooting (ISS) on offshore time-lapse studies
Ray Abma, BP

3:55 PM – 4:20 PM
Evaluating 4D seismic repeatability for multimeasurement streamers – A case study from offshore Canada
Arjun Srinivasan, ExxonMobil

4:20 PM – 4:45 PM
Developing a fully autonomous marine seismic acquisition system for low-cost ondemand
Jorge Lopez, Shell

4:45 PM – 5:00 PM
Discussion
Hesham Ebaid, Shell

Seismic surveys are expensive. We face the competing priorities of lowering survey costs and obtaining higher resolution seismic images. Nevertheless, innovative methods of acquiring and processing seismic data are allowing lower cost per square mile while maintaining seismic image quality or even improving it. There have been significant innovations in seismic source and receiver technologies. This workshop will review recent advances and proposed methods for improving seismic surveys. These will include new sources, simultaneous sourcing, advances in receiver technologies, operations, regulations, and processing methods.

Workshop Schedule

1:30 PM – 1:35 PM
Introduction
Ramesh Neelamani, ExxonMobil

Session 1: Land Seismic
Session Chairs: Adriana Citlali Ramírez and Raymond Abma

1:35 PM – 1:45 PM
Egypt's West Kalabsha HD survey
Dennis Yanchak, Apache

1:45 PM – 1:55 PM
Lifting land seismic impediments by reducing HSE exposure and cost: Insights from the Metis project pilot experience
T. Jules Browaeys, J. Archer and K. Elder, Total

1:55 PM – 2:05 PM
Nimble Nodes for Land: Lightweight, Small, Low Cost, Unlimited Channels
Ted Manning, BP

2:05 PM – 2:25 PM
Discussion

2:25 PM – 2:35 PM
Break

Session 2: Marine Seismic
Session Chairs: Adriana Citlali Ramírez and Raymond Abma

2:35 PM – 2:45 PM
A New Generation of Pneumatic Seismic Sources: Increasing Geophysical value and Reducing Environmental Impact and Operational Costs
Shuki Ronen and Steve Chelminski, LISS

2:45 PM – 2:55 PM
Sampling with Sources in Marine Towed Streamer Acquisition
Marc Rocke, Phillip Fontana, Richard Price, Ploarcus

2:55 PM – 3:05 PM
Apparition of Towed Streamer Data
Sergio Grion, Lorenzo Casasanta, Daniel Martin, Rob Telling, Stuart Denny, Shearwater

3:05 PM – 3:15 PM
High-productivity Acquisition of Time-lapse Ready, Full-fold, Broad-band Seismic Data
Robertsson, J. O. A., Andersson, F., van Manen, D. J., Eggenberger, K., Walker, R., Sollberger, D., and van den Broek, F., Seismic Apparition

3:15 PM – 3:25 PM
Continuous Source and Receiver Wavefield Technology - Potential Efficiency Gains
Stian Hegna, PGS

3:25 PM – 3:50 PM
Discussion

3:50 PM – 4:00 PM
Break

Session 3: Operations / Regulations
Session Chairs: Adriana Citlali Ramírez and Raymond Abma

4:00 PM – 4:20 PM
Panel Introductions (1-3 slides)/5 min per panelist
Geir Steinar Sørvik (Equinor), Eyvind Fromyr (MagSeis), Raymond Abma (BP), Peter Seidel (TGS)

4:20 PM – 5:00 PM
Panel Discussion / Q&A

Cost-effective imaging of the subsurface requires rapid integration of different geophysical measurements with geological control and insights to generate actionable information. Multi-modal, multi-scale data sets constrained by geology can speed up the cycle time, reduce the cost, and improve the confidence of our images and interpretation of the subsurface.

Are we using the right tools and data sets to solve the problems? Do we understand why and how to use them? Can we improve the image, optimize our workflows, and provide results efficiently at lower cost?

The workshop is an attempt to answer these questions through audience interaction, brainstorming, and presentations. Presentations could include using gravity, magnetics, and electromagnetics in seismic processing, velocity analysis, full waveform inversion, and enhanced / improved imaging. Topics could include multi-sensor acquisition, multi-modal inversion, new algorithms, and best practices for using gravity gradiometry. We are interested in how these methods can support, integrate, and add value to seismic processing and imaging in difficult-to-explore geology.

Major goals of this highly interactive workshop are

1. explore the non-seismic toolbox
2. highlight real examples of integrated projects that benefitted (or not) from the non-seismic data
3. provide a learning opportunity for geoscientists from all backgrounds to see how they might optimize the value of their imaging projects via integration with relatively low-cost non-seismic methods

Workshop Schedule

1:30 PM – 1:40 PM
Welcome, Safety, Introduction
Ed Biegert

Session 1: Presentations

1:40 PM – 1:50 PM
High resolution imaging of salt domes through integrated seismic and magnetic modelling in the East Mediterranean Offshore
Maurizio Fedi, University of Naples Federico II

1:50 PM – 2:00 PM
Integrating wide-azimuth seismic and potential field data for salt interpretation – A case study from Southern Gulf of Mexico
Elena Medina, Schlumberger - WesternGeco

2:00 PM – 2:10 PM
Applied Use of Grav Mag data to delineate increased maturity in Unconventional Plays
Marianne Rauch-Davies, Devon Energy Corporation

2:10 PM – 2:20 PM
Effective use of potential field and seismic methods to reduce exploration costs and ambiguity in multiple integrated imaging interpretations
Rao Yalamanchili, CGG Multi-Physics

2:20 PM – 2:35 PM
Break

Session 2: Presentations

2:35 PM – 2:45 PM
Integrated imaging of porphyry copper deposits using MT, DCIP, gravity and magnetic data
Rob Hearst, Quantec Geoscience Ltd.

2:45 PM – 2:55 PM
Unsupervised machine learning applied to geology differentiation through multiple geophysical data sets
Aline Tavares Melo, CSM

2:55 PM – 3:05 PM
New approaches to integrated imaging of multimodal geophysical data
Michael S. Zhdanov, Univ of Utah, TechnoImaging

3:05 PM – 3:15 PM
Kirchhoff migration imaging method based on grounded-source TEM virtual wavefield
Zhi-peng QI, Chang'an University

3:15 PM – 3:30 PM
Break

Session 3: Round-Robin Discussion Activity

3:30 PM – 3:40 PM
Instructions
Ed Biegert

3:40 PM – 4:00 PM
Discussion A
Irina Filina

4:00 PM – 4:20 PM
Discussion B
Vicki Tschirhart

4:20 PM – 4:40 PM
Discussion C
Luise Sander

4:40 PM – 4:45 PM
Summary Preparation

4:45 PM – 5:00 PM
Report Out and Discussion
Neda Bundalo

For a number of years workers have explored the use Electromagnetic (EM) and Electrical methods for using metallic well casing to interrogate deeper into the formation. Although the casing offers access to targets of interest the physical properties of the casing make it challenging to use EM and electrical technologies. Recent applications include theoretical and field studies where casing is used as a source antenna and receivers are deployed within pipes or consist of the pipes themselves. In addition recent proposals have addressed using EM technology for interrogating the casing itself in the search for corroded patches and subsurface breaks.

In this workshop we examine the present level of technology for using well casing in geophysical applications and explore technical and physical barriers for the advancement of these methods. If these barriers can be overcome the use of casing can greatly expand the reach of EM technologies to solve a number of problems.

Workshop Schedule

Session 1

1:30 PM – 1:50 PM
A Brief History of EM Applications in Steel Casing
Michael Wilt, Groundmetrics

1:50 PM – 2:10 PM
Investigating the Physics of Electromagnetics in the Presence of Steel Cased Wells
Lindsey Heagy

2:10 PM – 2:30 PM
Hierarchical Material Properties in Finite Element Analysis: Application to Oilfield Situation Awareness
Chet Weiss, Sandia National Laboratories

2:30 PM – 2:50 PM
Numerical Upscaling of Steel-cased Wells
Christoph Scwartz

2:50 PM – 3:10 PM
Experiences with the Method Of Moments for Casing Problems in Electromagnetics
Andre Swinsky

3:10 PM – 3:25 PM
Break

Session 2

3:25 PM – 3:45 PM
Monitoring Hydraulic Fracture Volume Using Surface to Borehole EM and Conductive Proppant - continued
Mike Hoversten, Chevron

3:45 PM – 4:15 PM
Case Hole Logging with EM Technology
Glenn Wilson, Halliburton

4:15 PM – 4:35 PM
Top-Casing Electric Source Method for Assessing Wellbore Integrity: Electromagnetic Approach
Evan Um

4:35 PM – 4:55 PM
Data and Modeling Results from Depth to Surface Electromagnetic Surveys with Multiple Nearby Metallic Casings and Underground Pipelines
Greg Nieuwenhuis, Groundmetrics

4:55 PM – 5:30 PM
Conclusion and Discussion

Porphyry deposits typically host large amounts of copper, gold and molybdenum and so have been long-sought after geological targets. While still important targets, recent history shows that due to the cost to develop and complexity to operate profitably can be a challenge. These factors can result in very long development times with periods of >50 years from discovery to mining being not uncommon. As smaller, higher grade resources are exhausted however, porphyry deposits at increasing depth will likely remain a major component of highly prized targets for mining.

This workshop will review the following aspects of porphyry exploration and development:

1. Geological aspects and mining
2. Exploration technology
3. Case studies
4. The future of porphyry exploration and development

Workshop Schedule

1:30 PM – 1:40 PM
Introduction
Ken Witherly, Condor Consulting

1:40 PM – 2:40 PM
Review of geology and exploration techniques for porphyry copper deposits
Dick Tosdal/Ken Witherly, Consultants

2:40 PM – 3:15 PM
Historical geophysical work in SW USA for Porphyry Copper Deposits
Mark Thoman, FMI

3:15 PM – 3:50 PM
Geophysics for porphyry copper deposits in the North American Cordillera-1950s-1970s
Ken Witherly, Condor Consulting

3:50 PM – 4:25 PM
Examples of IP for porphyry copper exploration in Chile
Jimena Vargas, Codelco

4:25 PM – 5:00 PM
Silver Bell-Updated
Norm Carlson, Zonge

5:00 PM – 5:30 PM
Multi-method geophysical imaging of porphyry deposits – Case histories from the Americas.
Rob Hearst, Quantec

Geophysical tomography is increasingly becoming an indispensable tool to the geoscientist for inferring spatially continuous subsurface properties and processes. While the last two decades have witnessed tremendous advances in geophysical tomographic methods, the challenges of solution non-uniqueness resulting from limited, noisy observations coupled with incomplete understanding of the target phenomenon still hamper our ability to accurately infer subsurface models from geophysical measurements.

The objective of this workshop is to assemble experts in the field of geophysical tomography to discuss the challenges and advances in geophysical tomographic methods. Topics worthy of discussion include, but are not limited to: advances in regularization strategies, data error modeling, uncertainty quantification, model order reduction techniques, methods for evaluation of data worth, full waveform inversion, etc.

Workshop Schedule

1:30 PM – 1:40 PM
Introduction
Erasmus Oware SUNY at Buffalo

Session 1: Short Oral Presentations

1:40 PM – 2:05 PM
Keynote Speech: Geophysical Tomography: The Current State of Research, Challenges, and Path Forward
Fred Day-Lewis, USGS Connecticut

2:05 PM – 2:25 PM
Crosshole Ground Penetrating Radar Full-Waveform Inversion
Anja Klotzsche, Forschungszentrum Juelich

2:25 PM – 2:45 PM
Sparse Blind Deconvolution and Full-Waveform Inversion of Surface GPR Data, an Engineering Example
Sajad Jazayeri, Uni. of South Florida

2:45 PM – 3:05 PM
Time-lapse waveform inversion regularized by spectral constraints and Sobolev space norm
Vladimir Kazei, KAUST

3:05 PM – 3:25 PM
Towards 3D Ground Penetrating Radar Full-Waveform Inversion
Jan van der Kruk,  Forschungszentrum Juelich

3:25 PM – 3:45 PM
Integration of Time-lapse Geoelectrical and Temperature Measurements for Monitoring of a Heat Tracing Experiment using a Bayesian Hierarchical Model
Jinsong Chen, LBNL

3:45 PM – 4:05 PM
Basis-Constrained Bayesian-McMC: Hydrologic Process Parameterization of Stochastic Geoelectrical Imaging of Solute Plumes
Erasmus Oware, SUNY at Buffalo

4:05 PM – 4:20 PM
Break

Session 2: Open Panel Discussion

4:20 PM – 5:00 PM
Open Panel
Discussion Members: Fred Day-Lewis, Jonathan Ajo-Franklin, Jan van der Kruk All Authors

There is still a lot of uncertainties and ongoing research about which workflows and theories should be used for both conventionals and unconventionals reservoir surveillance/monitoring.

Workshop Schedule

1:30 PM – 1:40 PM
Introduction
Andrew Royle

Session 1

1:40 PM – 2:10 PM
Is it seismic for geomechanics, or geomechanics for seismic? The Chicken or the Egg Problem.
Wayne Pennington, Michigan Technology University

2:10 PM – 2:40 PM
Integrating seismic 4D full-waveform inversion with fully-coupled fluid-flow and geomechanic modeling for the Genesis Field.
Biondo Biondi, Standford Univeristy

2:40 PM – 3:00 PM
Break

3:00 PM – 3:30 PM
High-fidelity Reservoir Stimulation and Production Modeling Incorporating Predictions of Associated Geophysical Signatures.
Joe Morris, Lawrence Livermore National Lab.

3:30 PM – 4:00 PM
Inversion uncertainty from seismic strain to reservoir pressure
Joe Stefanie, Chevron

4:00 PM – 4:45 PM
Open Panel Discussion

This workshop will discuss recent advances and future directions of remote sensing technologies in onshore and offshore hydrocarbon exploration and environmental evaluation, including space- and air-borne systems, underwater sonar, passive lightning, LiDAR applications, and other remote sensing technologies for oil and gas seepage mapping, seabed mapping and characterization, drilling site and oil and gas field evaluation, natural gas leak detection, as well as reservoir monitoring and geohazard analysis. The workshop will be organized by discussion of the following key topics:

1. Onshore applications
   • hydrocarbon exploration
   • oil and gas seepage mapping
   • reservoir monitoring
   • drilling site and oil and gas field evaluation
2. Offshore applications
   • hydrocarbon exploration
   • oil and gas seepage mapping
   • seafloor mapping and characterization
   • geohazards analysis
3. New technologies
   • space- and air-borne systems
   • underwater sonar
   • passive lightning
   • LiDAR applications
   • regional and local database updating
   • other related remote sensing technologies

Workshop Schedule

8:30 AM – 8:35 AM
Welcome & Introduction
Yongyi Li, Roice Nelson, Dominique Dubucq, William Jeffery, Doug Foster, Michel Verliac

8:35 AM – 8:55 AM
State of art remote sensing for HC exploration
Khalid Soofi, ConocoPhillips

Session 1: Onshore applications

8:55 AM – 9:10 AM
The ARPA-E’s Monitoring Program for natural gas detection
Bryan Willson, Colorado State University

9:10 AM – 9:25 AM
3D Elevation Program (3DEP)
Jason Stoker, USGS

9:25 AM – 9:40 AM
Airborne methane mapping for hydrocarbon exploration and environmental monitoring
Luise Sander, Sander Geophysics

9:40 AM – 9:55 AM
Proprietary spectrometric analysis hydrocarbon prospectivity tied to circular patterns in satellite data
James Reardon, Terra Energy & Resource Technologies, Inc.

9:55 AM – 10:10 AM
Lightning analysis – A remote imaging exploration tool
Roice Nelson, Dynamic Measurement LLC

10:10 AM – 10:30 AM
Open Panel Discussion
Keynote & session 1 speakers

10:30 AM – 10:40 AM
Break

Session 2: Offshore applications

10:40 AM – 10:55 AM
Satellite remote sensing of offshore seepage
William Jeffery, CGG

10:55 AM – 11:10 AM
Advances in offshore seep identification using multibeam echo sounder and subbottom profiler systems
Jayme McBee, Fugro

11:10 AM – 11:25 AM
Using AI to explore the ocean
Dylan Blakeslee, Texas A&M University

11:25 AM – 11:40 AM
Sonar gas flux estimation, emission rate estimations
Ira Leifer, Bubbleology Research International

11:40 AM – 12:00 PM
All Session Panel Discussion

12:00 PM – 12:10 PM
Wrap Up & Closing Remarks
Yongyi Li, Roice Nelson, Dominique Dubucq, William Jeffery, Doug Foster, Michel Verliac

Poster session

8:30 AM – 12:00 PM
Lightning analysis at South Carolina superfund site
Kathleen Haggar, Dynamic Measurement LLC

8:30 AM – 12:00 PM
Harris county lightning analysis fault interpretation
Louis Berent, Dynamic Measurement LLC

8:30 AM – 12:00 PM
Remote imaging and lightning analysis
Roice Nelson, Dynamic Measurement LLC

8:30 AM – 12:00 PM
Proprietary spectrometric analysis hydrocarbon prospectivity tied to circular patterns in satellite data
James Reardon, Terra Energy & Resource Technologies, Inc.

8:30 AM – 12:00 PM
A Journey to enlighten your child’ spirit and marvel at Remote Sensing infinite prospects
Dominique Dubucq, Total

The SEG Advanced Modeling (SEAM) program has started in 2007 and produced a number of earth models with seismic simulation to help understand some industry challenges including subsalt, land challenges, pore-pressure, and time-lapse reservoir monitoring. The models and seismic data were provided to the member companies of each SEAM project with rights to use the model and simulated data for any internal purpose or publications if desired. Data were also made available to others for a fee after a certain period of time. The theme of this workshop is to discuss what the SEAM model & data have been used for, what was learned, and what are the opportunities for doing more going forward. We will invite the member companies to participate in the workshop, present their work, and participate in the discussions.

Workshop Schedule

8:30 AM – 8:40 AM
Welcome and Introduction
Maria A. Capello, Kuwait Oil Company

8:40 AM – 9:10 AM
SEAM Data Usage: how has the SEAM Models being used at operating companies: Chevron & Shell - SEAM models utilization
Konstantin Osypov (Chevron) and Shell rep, CHEVRON

9:10 AM – 9:40 AM
SEAM Data Usage: how has the SEAM Models being used at Service and operating companies: Schlumberger and ExxonMobil
Tao Sun and Will Burnett,

9:40 AM – 10:00 AM
Break

10:00 AM – 10:15 AM
SEAM Pressure Prediction Project
Mike Fehler, MIT - ERL

10:15 AM – 10:30 AM
SEAM Life of Field Project
To be announced,

10:30 AM – 10:45 AM
SEAM FWI Project
John Eastwood, ExxonMobil

10:45 AM – 11:00 AM
SEAM AI and Machine Learning initiatives
Ali Tura & Bill Abriel, CSM & Orinda Geophysical

11:00 AM – 11:50 AM
GUIDED DISCUSSION and BRAINSTORMING: HOW TO MAXIMIZE the USE OF SEAM DATA
FACILITATORS per TABLE (5 - 6 tables) : Partha Routh, Yafei Wu, Cengiz Esmersoy, Yafei Wu; Konstantin, Josef Paffenholz, Maria Capello, KOC, Farifield, others

11:50 AM – 12:00 PM
Closing Remarks
Joseph Paffenholz (or alternatively Maria Capello) and a Research Committee rep, Fairfield/KOC + Research Comm

This workshop will review the current state of Marine Vibroseis technology. Existing and emerging marine vibrator designs will be reviewed along with data examples and technical discussions. Marine Vibrators bring a level of source control to the marine environment not available with conventional marine seismic sources. Control over the length, bandwidth and signal type of the seismic source become possible with Marine Vibroseis. This ability, along with other well-known advantages of Vibroseis acquisition opens the door to discussions regarding new methods of marine seismic acquisition never before possible.

The goal of this workshop is to update the industry on the status of marine vibrator technology and highlight some of the potential advantages for marine seismic data acquisition. As Marine Vibroseis systems reach commercial application, survey design geophysicists must maximize the acquisition efficiency and data quality potential of Marine Vibroseis, and data processing methods that take full advantage of the marine vibroseis source need to enter into future discussions.

Workshop Schedule

8:30 AM – 8:40 AM
Introduction
Andrew Feltham, Total

Session 1: Marine Vibroseis Technology

8:40 AM – 8:50 AM
Marine Vibrator Joint Industry Project: Motivations
AJ Cozzens, Shell

8:50 AM – 9:05 AM
APS MV-IPN data Results
Dan Roy, APS

9:05 AM – 9:20 AM
BP WolfSpar GOM test Results
Joe Dellinger, BP

9:20 AM – 9:35 AM
Design and testing of the MSV (Marine Seismic Vibrator)
Hiroaki Ozasa, IHI

9:35 AM – 10:05 AM
Panel Discussion: Is the technology ready?

10:05 AM – 10:20 AM
Break

Session 2: Marine Vibroseis Technique

10:20 AM – 10:30 AM
Teledyne Seismic Source in the Form of an Underwater Bubble Resonator
Andrey Morozov, Teledyne Marine

10:30 AM – 10:40 AM
Powerful Lightweight Marine Vibroseis System for Offshore and Transition Zone Surveys
Jim Anderson, GPUSA

10:40 AM – 10:50 AM
Marine Vibrators: doing what airguns can't.
Muhul Supawala, Schlumberger

10:50 AM – 11:00 AM
Spread Spectrum Sweep Strategy for Improved Operational Efficiency with Marine Vibrators
Ruen Tengham, PGS

11:00 AM – 11:10 AM
Environmental Impact assessment
Kirsty Speirs, Total

11:10 AM – 11:30 AM
Regulator Perspective of MV technology
Jill Lewandowski, BOEM

11:30 AM – 12:00 PM
Open Discussion: Is Industry ready?

Through recent decades of intensive research, especially the latest advancements in GPU computing technology and Deep Neural Networks algorithms, machine learning (ML) and artificial intelligence (AI) have now established their great potential in areas such as social networking, e-commerce, computer vision, natural language processing, and robotics. Workflows based on data analytics and machine learning have recently captured the Geoscience community’s attention, as evident in the significantly increased number of related papers presented at international meetings. Early ML solutions to problems such as fault, salt, and other geobody identification, as well as multivariate well log analysis have provided interesting perspectives and promising results.

These observations raise the following questions:

• What other geoscience problems can be formulated as data analytics and machine learning problems?
• What is the amount and quality of geoscience data and labels required for data analytics and machine learning to solve these problems? How can modeled synthetic data be beneficial and what's the preferred training and learning strategy (e.g., supervised vs unsupervised, transfer learning, local vs global)?
• What is the overall performance value (complexity, accuracy and interpretability) expected from data analytics and machine learning relative to existing (physics-based) solutions?
• What guidance, if any, is available to help design algorithms and model structures given particular types of geoscience problems, such as the network structures in Deep Learning?
• What are the overall investments (infrastructure, software, expertise) necessary to get started and harvest value from data analytics and machine learning?

These problems are certainly not unique to geoscience. In this workshop we plan to bring experts from both geoscience and AI/ML communities. Through a series of technical presentations and discussions, this workshop will help the SEG community understand and leverage recent developments in data analytics and machine learning. The goal of this workshop is to provide better understanding of the opportunity space for data analytics and machine learning models and algorithms, as well as identify the R&D required to develop these algorithms into technology that works with realistic data sets with high accuracy and reasonable complexity.

Workshop Schedule

8:30 AM – 8:35 AM
Introduction
Aria Abubakar, SLB

Session 1

8:35 AM – 9:20 AM
Tutorial
Weichang Li/Ramesh Neelamani, Saudi Aramco

9:20 AM – 9:30 AM
SEAM AI Initiative
Bill Abriel, Orinda Geophysical

9:30 AM – 10:00 AM
Poster

10:00 AM – 10:15 AM
Break

Session 2: Seismic Interpretation

10:15 AM – 10:35 AM
A machine learning approach for top of salt interpretation: Lessons learned
Dake Yu, CGG

10:35 AM – 10:55 AM
Multi-Step Machine Learning Seismic Salt Interpretation
Anisha Kaul, SLB

10:55 AM – 11:15 AM
Generative adversarial networks based deep learning models for seismic interpretations
Ping Lu, Anadarko

11:15 AM – 11:35 AM
Seismic Annotator: Using machine learning to augment annotation + Deep Learning for seismic image segmentation, using classification and transfer learning
Renato Fontoura, IBM Brazil

11:35 AM – 11:55 AM
Panel

Session 3: Seismic Processing

1:30 PM – 1:50 PM
Data-Driven Subsurface Exploration: A New Perspective on Subsurface Characterization and Monitoring Using Machine Learning
Youzuo Lin, Los Alomos National Lab

1:50 PM – 2:10 PM
A deep learning approach to cycle-skipping mitigation in FWI
Wenyi Hu, AGT

2:10 PM – 2:30 PM
Ground Roll removal by dictionary learning and morphological component analysis
Arnab Dhra, CSM

2:30 PM – 2:50 PM
FWI with Machine Learning assisted low frequency extrapolation
Vladimir Kazei, KAUST

2:50 PM – 3:10 PM
Mapping low-fidelity physics to high-fidelity physics with Deep Learning
Felix Herrmann, Georgia Tech

3:10 PM – 3:30 PM
Panel

3:30 PM – 3:45 PM
Break

Session 4: Wellbore

3:45 PM – 4:05 PM
Application of Machine Learning for Well Log Processing and Interpretation
Po Yen Wu, SLB

4:05 PM – 4:25 PM
Delineation of Carbonate Debris flows and organic rich shales in the Permian Basin utilizing unsupervised learning
Vikram Jayaram, Pioneer

4:25 PM – 4:45 PM
Generate geological models conditioning to well logs with generative adversarial networks
Lin Liang, SLB

4:45 PM – 5:05 PM
Panel

9:30 AM – 10:00 AM
Building a residual neural network with 3D filters for fault interpretation in seismic volumes
Antoine Guitton, DUG

9:30 AM – 10:00 AM
Deep learning for real-time CO2 plume forecasting using permanent seismic monitoring
Vladimir Puzyrev, Curtin University

9:30 AM – 10:00 AM
Using graph clustering to locate sources within a dense sensor array
Peter Gerstoft, UCSD

9:30 AM – 10:00 AM
Nonparametric machine learning and inverse problems for geosteering applications
Jiefu Chen, Univ. Houston

9:30 AM – 10:00 AM
Applications of AI and Machine Learning for Seismic Reservoir Characterization
Malleswar Yenugu, Ayata

Full waveform inversion (FWI) is now an established velocity model building technique in the oil and gas industry. It is used in both exploration and production contexts, and continues to deliver velocity models of unprecedented resolution and detail. However, typical FWI applications are still dominated by P-wave velocity updates driven by diving and refracted waves; extending methods to update anisotropy and visco-elastic parameters by taking the full wavefield into account is still an active research area in both academia and industry.

This workshop will focus on current and emerging FWI research themes, with particular emphasis on how to efficiently transform research results into industrial solutions. FWI became a successful industrial tool after initial strong contributions from academia which were picked up and built on by the industrial community. We would like to highlight current research initiatives on both sides and facilitate a discussion and sharing of experiences of academia/industry technology transfer in FWI.

Topics of the workshop will cover:

• How is frontier research from academia and industry currently making its way into industrial FWI solutions?
• Case histories of transferring academic FWI research to industrial solutions
• How can academia and industry collaborate more efficiently to facilitate discovery of new techniques, development and technological transfer? At what stage of technology development should this transfer occur given the potentially high computational demands of significant demonstrations?
• What model of collaboration with academic R&D yields best results for industry? What can academia offer that industrial research efforts cannot?
• New and ongoing research directions in topics such as:
  • Elastic FWI
  • Onshore FWI
  • 4D FWI
  • Reflection FWI
  • Anisotropic parameter estimation
  • New acquisition techniques and their impact on FW

Workshop Schedule

8:30 AM – 8:40 AM
Introduction
Uwe Albertin, Chevron

Session 1: Case Histories and experiences from technology transfer in FWI 

8:40 AM – 9:00 AM
Building production level FWI from research and academic collaboration
Mike Cogan, Equinor

9:00 AM – 9:20 AM
From academic research to commercial company: lessons learnt along the S-Cube journey
Tim Lin, S-cube

9:20 AM – 9:40 AM
3D elastic FWI in foothill areas: from development to application
Phuong-Thu Trinh, Seiscope

9:40 AM – 10:00 AM
Extended Parameter Full Waveform Inversion: Increasing Depth and Resolution
Chao Wang, Ion Geophysical

10:00 AM – 10:20 AM
Break

10:20 AM – 10:40 AM
Overcoming the challenges of FWI in theory and practice
Nizar Chemingui, PGS

10:40 AM – 11:00 AM
Practical Applications of FWI in the presence of anomalous attenuation
Gboyega Ayeni, ExxonMobil

11:00 AM – 11:20 AM
From Seoul to Pau via Houston: my journey with Laplace-Fourier waveform inversion
Christian Rivera, Total

11:20 AM – 11:40 AM
Full-waveform inversion to correct for salt misinterpretation
Ping Wang, CGG

11:40 AM – 12:00 PM
Discussion 
All

12:00 PM – 1:30 PM
Lunch

Session 2: New and ongoing research in FWI

1:30 PM – 1:40 PM
Introduction session 2
Alison Malcolm, Memorial University

1:40 PM – 2:00 PM
To Be Determined
Jinsong Chen, Lawrence Berkeley National Laboratory

2:00 PM – 2:20 PM
Applications of low-rank factorization in seismic inverse problems
Rajiv Kumar, DownUnder GeoSolutions

2:20 PM – 2:40 PM
Uncertainty quantification in 4D
Maria Kotsi, Memorial University

2:40 PM – 3:00 PM
Transdimensional FWI and uncertainty quantification
Mrinal Sen, UT Austin

3:00 PM – 3:20 PM
coffee break

3:20 PM – 3:40 PM
Full Waveform Inversion based on gradient sampling algorithm
Elita Li, Singapore University

3:40 PM – 4:00 PM
Regularized full-waveform inversion for 4D monitoring of anisotropic elastic properties of a reservoir
Vladimir Kazei, KAUST

4:00 PM – 4:20 PM
Elastic full-waveform inversion with various model parameterizations applied to walk away vertical seismic profile data for reservoir characterization
Wenyong Pan, Los Alamos

4:20 PM – 4:50 PM
Discussion and wrap up
All/lead Paul Williamson, Total

Is the Shale revolution getting away from geophysics or are we inventing new methods to address key issues? How does geophysics fit into the cost cutting in the industry? In this workshop we focus on the value geophysics is bringing to exploration and development of unconventional reservoirs. We are also interested to discuss deficiencies and discuss ways forward for resolving these issues.

The workshop will be organized by discussion of key value topics for optimizing:

1. Drilling locations (""sweet-spotting"") - Where to drill a well
2. Landing depth - How to drill a single well
3. Drilling direction - How to drill a single well
4. Lateral length - How to drill a single well
5. Completion design - How to complete a single well
6. Well spacing - Where to put the next well

In addition to going over current and experimental technologies we will discuss:

• What do we mean by 'optimization’?
• How would we decide without any geophysics?
• What alternatives to geophysical data exist?
• How does geophysics improve decisions?
• How have these interpretations/applications of geophysics been validated?
• What are the remaining issues in applying geophysics?
• How do we potentially overcome these issues?

Workshop Schedule

8:30 – 8:40
Welcome
Ali Tura/all

8:40 – 9:10
Tutorial on UR practices
TBD, CRC

Session 1: Drilling locations

9:10 – 9:15
Introduction
Reynaldo Cardona & Dan Ebrom

9:15 – 9:30
Utica shale reservoir characterization with focus on sweet spot discrimination
Jinming Zhu, Chesapeake

9:30 – 9:45
The role of geophysics in the accurate estimation of geologic and geomechanical Sweet Spots and how to use them in Adaptive Fracing
Ahmed Ouenes, FracGeo

9:45 – 10:00
ML Reservoir Characterization needs more independent seismic attributes
Christof Stork, LandSeismicNoise

10:00 – 10:15
Panel Discussion

10:15 – 10:30
Break

Session 2: Drilling directions

10:30 – 10:35
Introduction
Jim Gaiser & Azra Tutuncu

10:35 – 10:50
Modeling the effect of intrinsic anisotropy on Vnmo
Marianne Rauch-Davies, Devon

10:50 – 11:05
The elastic properties of clay in unconventional reservoirs
Colin Sayers, Schlumberger

11:05 – 11:20
Unconventional - Improving accuracy of seismically derived 3D analytic geomechanical models through incorporation of rock physics constrained anisotropy
Jeremy Meyer, Ikon

11:20 – 11:35
Reservoir characterization using perforation shots: anisotropy, attenuation, and uncertainty analysis
Zhishuai Zhang, Stanford

11:35 – 11:50
Panel Discussion

11:50 – 1:30
Lunch

Session 3: Completion design and lateral length

1:30 – 1:35
Introduction
Andrew Royle & Ali Tura

1:35 – 1:50
Understanding Unconventional Reservoirs using Distributed Acoustic Sensing
Dan Khan, Devon

1:50 – 2:05
Vertical Stress Profiling for Unconventional Reservoirs
Tom Bratton, Sigma Cubed

2:05 – 2:20
Understanding fracture dynamics: Time-lapse VSP during each stage of fracing
Ali Tura, Colorado School of Mines

2:20 – 2:35
Geomechanics and optimizaiton for completion and production
Azra Tutuncu, Colorado School of Mines

2:35 – 2:50
Panel Discussion

2:50 – 3:05
Break

Session 4: Well spacing

3:05 – 3:10
Introduction
Ulrich Zimmer & Yongyi Li

3:10 – 3:25
Integrated Reservoir Characterization of the Wattenberg Field, Colorado, USA
Jacquie Davis, Colorado School of Mines

3:25 – 3:40
Well Spacing Optimization Through Integration of Completions Modeling, Geomechanics and Data Analytics
Vikram Sen, Anadarko

3:40 – 4:05
Reducing key Uncertainties for wellbore spacing decisions in areas with sparse wellbore control
Ulrich Zimmer, Shell

4:05 – 5:00
Panel Discussion - All
All

Technological developments and applications of Distributed Acoustic Sensing (DAS) are growing fast in the oil and gas, geothermal, and mining industries with more and more DAS development and applications expected in the near future. With many DAS projects being carried out worldwide, the industry has accumulated large amounts of DAS big data. However, we still face challenges on understanding the vector fidelity, directivity, and sensitivity of DAS measurements. The first topic of the workshop will focus on understanding, using and/or avoiding the features of DAS instrumentation. The second topic will focus on the processing methods used to deal with the large volumes of DAS “big” data that we have acquired. These acquired data sets include DAS-VSP, micro-seismic DAS, and surface seismic DAS data. Efficient and effective processing techniques will help us extract useful information from large volumes of DAS data and demonstrate the value of all DAS applications. We encourage contributors to show various examples of applying newly developed processing methods to extract big values from DAS data.

The third topic of the workshop will include integrating DAS data with borehole seismic (VSP), surface seismic, and wireline logging data to diagnose and optimize velocity models and improve subsurface imaging. In the oil and gas industry, we apply seismic imaging methods using accurate velocity models to create accurate and clear images of subsurface structures. Therefore, finding the best possible velocity model is crucial. Traditionally, we used conventional borehole seismic (VSP) and wireline logging data to diagnose and constrain velocity models derived from FWI and tomographic inversions of surface seismic data. However, the sparseness of the well data provides great challenges for diagnosing and constraining velocity models. Advanced DAS technology has been shown to be a new and powerful tool for further constraining the velocity field and improving subsurface imaging, thus reducing the drilling uncertainties. These new technologies also provide opportunities for joint inversions of both DAS and surface seismic data. We expect contributors to present their findings to show how to integrate DAS-VSP, logging, and surface seismic data to constrain velocity models and improve subsurface imaging. We also propose to reduce the number of talks, but increase the time for discussion and interaction between the speakers and the audience.

Workshop Schedule

8:00 AM – 8:30 AM
Set up Posters

8:30 AM – 8:35 AM
Welcome & Introduction
Yingping Li, Shell

Session 1: DAS Measurement
Session Chairs: Martin Karrenbach & Michel Verliac

8:35 AM – 8:50 AM
Practical DAS Acquisition and Preprocessing
Mark Willis, Halliburton

8:50 AM – 9:05 AM
Understanding distributed fiber optic sensing response for modeling of signals
Cody Wren Mart, Lawrence Livermore National Lab

9:05 AM – 9:20 AM
Micro-structured fiber distributed acoustic sensing system for borehole seismic survey
Gang Yu, BGP Inc., CNPC & Huazhong UST

9:20 AM – 9:35 AM
Beyond Cosine-squared: Understanding Trends in Passive DAS Field Data
Eileen Martin, Stanford University/UCB/LBNL

9:35 AM – 9:50 AM
Do we know where DAS channels are and what well data to trust for depth calibration?
Yuting Duan, Shell

9:50 AM – 10:10 AM
Open Panel Discussion

10:10 AM – 10:20 AM
Break

Session 2: DAS Applications 1
Session Chairs: Mark Willis & Vanessa Brown

10:20 AM – 10:35 AM
Fiber Optic Distributed and Engineered Acoustic Sensors for New Seismic and Microseismic applications
Mahmoud Farhadiroushan , Silixa

10:35 AM – 10:50 AM
Time lapse seismic monitoring of individual hydraulic frac stages using a downhole DAS array
Gary Binder, Colorado School of Mines/Apache Corporation

10:50 AM – 11:05 AM
DAS as a tool for monitoring hydraulic fracturing operations
Martin Karrenbach, Devon/OptaSense

11:05 AM – 11:20 AM
Comparing distributed acoustic sensing, vertical seismic profile data acquired with single- and multi-mode fiber optic cables
Xiang Wu, Halliburton

11:20 AM – 11:35 AM
Lessons learned from a recent DAS VSP field trial in North Sea
Ge Zhan, BP

11:35 AM – 11:55 AM
Open Panel Discussion

Session 3: Poster Session
Session Chairs: Juan Wang & Yingping Li

11:55 AM – 12:40 PM
Distributed Acoustic Sensing as part of the next-generation Southern California Seismic Network
Zhongwen Zhan, California Institute of Technology

11:55 AM – 12:40 PM
Lessons learned from two years of continuous monitoring with DAS under Stanford
Biondo Biondi, Stanford University/Optasense

11:55 AM – 12:40 PM
Downhole and surface fiber optic DAS recordings of a 1000 kg TNT-equivalent chemical explosion in alluvium
Robert E. Abbott, Sandia National Laboratories & LLNL

11:55 AM – 12:40 PM
CANCELLED: High-Resolution Distributed Flow Measurement Not Requiring Temperature Variability Along
Frank Selker, Selker Metrics, LLC

11:55 AM – 12:40 PM
Distributed surface seismic sensing based on self-interferometry of phase optical time-domain reflectometry
Chang Wang , Laser Institute of Shandong Academy of Sciences, China 

11:55 AM – 12:40 PM
Fiber-optic phase-OTDR based distributed acoustic sensing (DAS) system for ground vibration measurements: a step-by-step ‘how to’ tutorial on system implementation and testing
Khalid Miah , Montana Technological University

11:55 AM – 12:40 PM
Fiber armor acquisition contrast experiment and noise suppression technique in DAS 3D-VSP
Yuanzhong Chen, University of Electronic and Technology of China / BGP CNPC

12:40 PM – 1:30 PM
Lunch Break

Session 4: DAS Applications-2
Session Chairs: Ge Zhan & Yonyi Li

1:30 PM – 1:45 PM
Two DAS Case Studies: Ground Motion from a Regional Earthquake and Local Tomography from Blasts in a Room-and-Pillar Mine Reservoir
Herb Wang , University of Wisconsin-Madison

1:45 PM – 2:00 PM
Integrating Distributed Acoustic Sensing (DAS) and Borehole 3C Geophone Array Data to Identify Long-Period Long-Duration Seismic Events during Stimulation of a Marcellus Shale Gas Reservoir
Payam K. Ghahfarokhi , West Virginia University, NETL DOE, Georgia Tech University

2:00 PM – 2:15 PM
Understanding production and low-frequency DAS measurements via laboratory tests
Aleksei Titov, Colorado School of Mines, LBNL, University of California

2:15 PM – 2:30 PM
Distributed acoustic sensing for active and passive VSP acquisition: theory and experiments at Curtin training well facility
Boris Gurevich, Curtin University/Fotech Solutions/Sercel

2:30 PM – 2:45 PM
Advances in DAS seismic monitoring for CO2 storage
Donald Caleb Lawton , University of Calgary / CMC Research Institutes Inc

2:45 PM – 3:05 PM
Open Panel Discussion

3:05 PM – 3:15 PM
Break

Session 5: Velocity & Noise
Session Chairs: Michel Verliac & Mark Willis

3:15 PM – 3:30 PM
Simultaneous near-surface model building and deep reflection imaging using smart DAS uphole acquisition system
Ilya Silvestrov, Saudi Aramco

3:30 PM – 3:45 PM
Application of Distributed Acoustic Sensing in model building and structural imaging
Ran Zhou, Halliburton

3:45 PM – 4:00 PM
Diagnosing Azimuthal Variations of Velocity Model Uncertainties using 3D DAS-VSP in GOM
Yingping Li, Shell

4:00 PM – 4:15 PM
Ambient noise interferometry for distributed acoustic sensing and rotational seismology
Patrick Paitz, ETH Zürich

4:15 PM – 4:30 PM
Machine learning algorithms for automated ambient noise processing for fiber-optic seismic data (DAS)
Fantine Huot, Stanford University

4:30 PM – 4:50 PM
Open Panel Discussion

4:50 PM – 5:00 PM
All Session Discussion, Wrap up & Close Remarks
Michel Verliac, Total 

Natural field EM methods are among the most powerful tools for resolving complete mineral systems Over the past decade, natural field EM methods have become mainstream in mineral exploration, gaining more acceptance by users in the mineral exploration community. This is in large part due to advances in instrumentation and their increased use by commercial providers, as well as availability of 2D and 3D inversion codes, and, more importantly, mineral exploration case histories involving natural field EM. Inspired by a paper on natural field EM presented at Exploration ’17, our day-long workshop will review advances in ground and airborne data acquisition and processing, instrumentation, modeling and inversion, and interpretation - culminating in case studies gathered from a wide variety mineral exploration applications from around the world.

Workshop Schedule

8:30 AM – 8:45 AM
Introduction and Overview
Alan Jones, Complete MT Solutions

Session 1: Instrumentation and Survey Design

8:45 AM – 9:10 AM
Instrumentation I:  To Be Announced
Leo Fox, Phoenix Geophysics

9:10 AM – 9:35 AM
Instrumentation II: Broadband ground MT acquisition: Arrays, sensors, and sampling strategies
Roger Sharpe, Quantech Geoscience

9:35 AM – 10:00 AM
Survey Design I: Survey Design Pitfalls to avoid and Analysis of MT Data
Alan Jones, Complete MT Solutions

10:00 AM – 10:20 AM
Break

Session 2: Inversion

10:20 AM – 10:45 AM
Inversion I: To Be Announced
Anna Avdeeva, Complete MT Solutions

10:45 AM – 11:10 AM
Inversion II: Open source software for simulation and inversion of Natural Source EM data
Doug Oldenburg & G.K. Rosenkjaer, UBC-GIF

11:10 AM – 11:35 AM
Inversion III: To Be Announced Joint Inversion
Randall Mackie, CGG 

11:35 AM – 12:00 PM
Open Panel Discussion II
Morning speakers

12:00 PM – 1:00 PM
Lunch

Session 3: Case Studies

1:00 PM – 1:25 PM
Case Studies I: Mineral Systems and MT
Joel Jansen, Anglo American

1:25 PM – 1:50 PM
Case Studies II: Comparison of ZTEM, MT and DC Modeled Resistivities at the Quinchimale Project, Northern Chile
Mark Thoman, Freeport McMoran

1:50 PM – 2:15 PM
Case Studies III: To Be Announced
Brendan Howe, Teck

2:15 PM – 2:40 PM
Case Studies IV: 3D inversion of magnetotelluric data at Goldstrike NV.
Scott Napier, Mira Geoscience

2:40 PM – 3:00 PM
Break

3:00 PM – 3:25 PM
Case Studies V: To Be Announced
Andy Mountford, Rio Tinto

3:25 PM – 3:50 PM
Case Studies VI: To Be Announced
Tomash Tsiboah, Newmont

3:50 PM – 4:15 PM
Case Studies VII: To Be Announced
Jimena Vargas, Codelco

4:15 PM – 5:00 PM
Open Panel Discussion II
Afternoon speakers

The use of unmanned systems (UAS), or drones, to support subsurface properties and processes. The ability of UAS to rapidly acquire high-resolution geo-referenced data with little or no environmental impact is driving platform and sensor innovation and already impacting how geophysical surveys are planned and executed.

At this workshop, leaders in the design and operation of UAS platforms and sensors will showcase recent advances in the field. Case-histories will be provided by experts using UAS to support a wide range of geophysical survey methods (magnetic, electromagnetic, gravity, gamma ray spectrometry. Ground penetrating radar, and seismic). The workshop will provide attendees with an overview of the UAS state-of-the-art for geophysical mapping applications and insights into developments, trends, and issues affecting this rapidly growing field.

Workshop Schedule

8:30 AM – 8:45 AM
Introduction to the Workshop
John Lane, USGS Storrs

Morning Session

8:45 AM – 9:15 AM
Airborne geophysical data acquisition: from a single drone experiment towards large UAV fleet management
Frank Adler, Total

9:15 AM – 9:45 AM
Unmanned Aircraft Swarms, Flocks, and Hives and the Future of Geophysical Surveys
Jamey Jacob, Oklahoma State University, USRI

9:45 AM – 10:05 AM
Coffee Break

10:05 AM – 10:35 AM
The USGS UAS program
Jeff Sloan, USGS National UAS Program Office

10:35 AM – 11:00 AM
The Mag Arrow
Bart Hoekstra, Geometrics

11:00 AM – 11:25 AM
Drone Magnetic and LiDAR Surveys for Locating Abandoned Wells
Richard Hammack, DOE

11:25 AM – 11:50 AM
Using magnetic sensors in UAV's to map the subsurface
Nathan Campbell, Oklahoma State University

11:50 AM – 12:05 PM
Discussion

12:05 PM – 1:30 PM
Lunch (on own)

Afternoon Session

1:30 PM – 1:40 PM
Introduction to the afternoon session
Nathan Campbell, Oklahoma State University

1:40 PM – 2:05 PM
sUAS - Hydrogeological Applications in the USGS
Cian Dawson, USGS Hydrogeophysics Branch

2:05 PM – 2:30 PM
Critical Zone Co-dynamics: Understanding Interactions between Subsurface, Land Surface, and Vegetation Properties Using UAV and Geophysical Approaches
Baptise Dafflon, Lawrence Berkely Labs

2:30 PM – 2:55 PM
Coffee Break

2:55 PM – 3:20 PM
UAS 3D outcrop mapping
Peter Dueck, Pioneer Aerial Surveys

3:20 PM – 3:45 PM
UAS LIDAR Applications
Paul McManamon, Exciting Technology

3:45 PM – 4:10 PM
UAS airborne magnetic and electromagnetic surveys: Case Studies from mineral exploration and geotechnical projects
Johannes Stoll, Mobile Geophysical Technologies

4:10 PM – 5:00 PM
Discussion and wrap-up

Frequency dependent seismic analysis is critical for reservoir characterization. Seismic attributes like instantaneous frequency and red, green, and blue (RGB) blending of three frequency components have been successfully used in qualitative interpretation. With the advancement in seismic acquisition and processing, seismic amplitudes are being used for more quantitative interpretation in terms of rock and fluid properties. The AVO equations have been extended to include frequency dependency, allowing exploitation of frequency attributes for quantitative reservoir characterization. Frequency-dependent reflectivity can arise either from intrinsic attenuation or scattering (due to heterogeneity in reservoir layers), and different rock physics and seismic modeling approaches can be used as a basis for modeling and inversion. The quality of seismic analysis will depend on the quality of input seismic amplitude at the reservoir level.

Seismic amplitude is affected by attenuation (often described in terms of Q). Seismic attenuation causes frequency dependent amplitude loss, i.e., reduced signal to noise, phase distortions because of frequency dependent velocity dispersion, and frequency dependent reflectivity. For example, gas chimneys common in offshore South-East Asia cause poor seismic imaging and resolution, if not addressed. This causes challenges for velocity model building, structural interpretation, and quantitative amplitude interpretation. Much progress has been made on seismic attenuation modeling, tomography and imaging. Petro-physical lab measurements and theoretical rock physics models may also help create a link between seismic attenuation and rock properties, and help build models. However, the gaps between theoretical developments and the complexity of field data still create challenges in practice.

This one-day workshop will focus on attenuation model building and imaging in the morning, and rock physics and seismic interpretation in the afternoon. We will discuss the pros and cons of existing methods, as well as challenges and opportunities for advancing the frequency dependent seismic technology.

Specific topics for discussion:

1. Imaging issues examples due to attenuation
2. Q model building – from seismic, VSP, well logs, core
3. Seismic attenuation compensation in imaging
4. Rock physics modeling to study attenuation
5. Seismic modeling, including AVO
6. Seismic analysis and interpretation – frequency dependent.

Workshop Schedule

8:30 AM – 8:40 AM
Introduction
Doug Foster, UT Austin

Session 1: Q-processing

8:40 AM – 9:10 AM
Introduction: Recent results in AVO/AVF, anelastic scattering and QFWI
Kris Innanen, U. Calgary

9:10 AM – 9:30 AM
Compare Q tomography between ray and wave methods
Kui Bao, Shell

9:30 AM – 9:50 AM
Integrate rock physics into seismic Q tomography
Yi Shen, Shell

9:50 AM – 10:05 AM
Break

10:05 AM – 10:25 AM
Wave propagation with frequency-independent Q and the basics of Q-RTM
Tieyuan Zhu, PSU

10:25 AM – 10:45 AM
Efficient Q-RTM of wideband seismic data for large scale projects
Wenyi Hu, AGT

10:45 AM – 11:05 AM
Visco-acoustic FWI in the presence of complex gas clouds
Min Wang, CGG

11:05 AM – 1:30 PM
Open Panel Discussion

11:30 AM – 1:30 PM
Lunch

Session 2: Frequency seismic analysis

1:30 PM – 2:00 PM
Rock physics modeling for seismic analysis – discuss various models used/possible
Boris Gurevich, Curtin U

2:00 PM – 2:30 PM
Shale rock – laboratory study
TBC, SINTEF

2:30 PM – 3:00 PM
Break

3:00 PM – 3:30 PM
Frequency – AVO modeling and analysis
Doug Foster, UT Austin

3:30 PM – 4:00 PM
Fracture characterization, S-wave splitting, multicomponent data example from North Sea
Mark Chapman, U Edinburg

4:00 PM – 4:30 PM
Linear combination and RGB blending of frequency panels for 3D facies and reservoir characterization
Hongliu Zeng, UT Austin

4:30 PM – 5:00 PM
Open Panel Discussion