Postconvention Workshops

SEG attendees finished off a productive week with 20 Postconvention Workshops featuring a range of technical topics.

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Postconvention workshops are offered on Thursday and continue through Friday, 20 September.

Please note that the number of seats available in each session is limited and offered on a first-come, first-served basis. If seats are available, movement between workshops during a session will be permitted.

Pricing

Workshop passes include access to any or all postconvention workshops.

You can sign up for Postconvention Workshops and more when you register for the SEG Annual Meeting. Only want to attend Postconvention Workshops? Email [email protected] to register.

Thursday, 19 September

W-1: DAS - Part 1: Recent Advances in Subsurface Characterization using Distributed Acoustic Sensing and the Road Ahead

8:30 AM - 5:00 PM
Convention Center, Room 302B

Organizers: Ge Zhan, BP; Yingping Li, Shell; Bjorn Olofsson, ExxonMobil; Ge Jin, ConocoPhillips; Michael Craven, Chevron; Arthur Cheng, NUS; Elita Li, NUS; Michel Verliac, Total; Xin Wang, Chevron
Email
Through the support of the SEG Research Committee

Over the past few years, distributed acoustic sensing (DAS) has been successfully used in many geophysical applications. The use of DAS in the oil and gas industry for borehole/surface seismic imaging, reservoir surveillance and microseismic monitoring for fractures has recently been accelerated with the improvements in fiber/interrogator sensitivity, flexible deployment of fiber-optic cables and the advances in data processing. This workshop aims to highlight the latest advances in DAS technology and will discuss

  • Case studies that feature seismic applications such as vertical seismic profiling (VSP), near-surface, passive seismic and microseismic monitoring, hydraulic fracturing monitoring, CO2 sequestration and geothermal reservoir characterization;
  • Advances in DAS interrogator, fiber and cable design;
  • Massive data - strategy for management, processing and machine learning;
  • Challenges in offshore fiber-optic installations including subsea for downhole DAS applications;
  • Challenges of mechanical coupling in retrievable fiber deployment in vertical wells;
  • Business cases and value utilizing DAS

Workshop Schedule

8:30 AM – 8:35 AM
Welcome and Introductions
Ge Zhan

Session 1: Recent Advances: Chairs: Michel Verliac & Mike Craven

8:35 AM – 8:55 AM
Advanced Geophysical Applications Using Precision Engineered Distributed Acoustic Sensor
Mahmoud Farhadiroushan, Silixa

8:55 AM – 9:15 AM
Opportunities with Multi-fiber DAS Installation in Hydraulic Fracture Monitoring
Martin Karrenbach, OptaSense

9:15 AM – 9:35 AM
Simultaneous Acquisition of Borehole DAS and Geophone Data Using a Hybrid Wireline Cable
Oleg Valishin, Sercel/Fotech

9:35 AM – 9:55 AM
Topside DAS Interrogation of Subsea Wells
Andreas Ellmauthaler, Halliburton

9:55 AM – 10:10 AM
Panel Discussion

10:10 AM – 10:20 AM
Coffee Break

Session 2: DAS VSP: Chairs: Bjorn Olofsson & Xin Wang

10:20 AM – 10:40 AM
Status of 4D DAS VSP for On-demand Monitoring in Deepwater
Albena Mateeva, Shell

10:40 AM – 11:00 AM
Improving DAS VSP Data Quality by Overcoming Gauge Length Effects
Tim Dean, Curtin University

11:00 AM – 11:20 AM
Receiver Decimation and Impact on DAS VSP Data Processing Quality
Dongjie Cheng, Halliburton

11:20 AM – 11:40 AM
Delineating Salt Boundaries Using 3D DAS-VSP Acquired Inside Salt in the Gulf of Mexico
Yingping Li, Shell

11:40 AM – 12:00 PM
Panel Discussion

12:00 PM – 1:30 PM
Lunch Break

Session 3: Methods and Application: Chairs: Arthur Cheng & Elita Li

1:30 PM – 1:50 PM
DAS: a Broadband Strain-rate Sensor and Its Applications
Ge Jin, CSM

1:50 PM – 2:10 PM
The Ultra-sensitive DAS (uDAS) System Development and Its Applications
Gang Yu, BGP

2:10 PM – 2:30 PM
Modeling DAS Data Including Subsurface Models and Fiber Response
Christopher Sherman, LLNL

2:30 PM – 2:50 PM
Designing Cross-well Seismic for Fiber Optics: A Case Study for the Svelvik CO2 Test Site
Andreas Wuestefeld, Norsar

2:50 PM – 3:05 PM
Panel Discussion

3:05 PM – 3:15 PM
Coffee Break

Session 4: Case Studies: Chairs: Yingping Li & Ge Jin

3:15 PM – 3:35 PM
DAS for Continuous Monitoring of Hydrological Properties Using Relative Seismic Velocity Variations
Veronica Tribaldos, LBL

3:35 PM – 3:55 PM
Combining Active- and Passive-source Surface Waves for Subsurface Monitoring with DAS
Ethan Williams, Caltech

3:55 PM – 4:15 PM
Continuous On-demand Reservoir Monitoring Using DAS and Permanent Surface Vibrators: Case Studies and Preliminary Results
Julia Correa, LBL

4:15 PM – 4:35 PM
Multiphase flow monitoring with DAS: results of flow loop experiments
Aleksei Titov, CSM

4:35 PM – 4:55 PM
Panel Discussion

4:55 PM – 5:00 PM
Wrap-Up and a preview of the DAS - Part 2 workshop on Friday
Michel Verliac, Total

W-2: Advances with Land Seismic for Characterizing Reservoirs - Part 1

8:30 AM - 5:00 PM
Convention Center, Room 221D

Organizers: Christof Stork, LSNS; Mike Perz, TGS; Bruce Hootman, WG; Rodney Johnston, BP
Email
Through the support of the SEG Research Committee

Over the past 10–15 years land acquisition and data processing have concentrated on acquiring denser and more broad-band data around the globe. Continuous recording, simultaneous source acquisition, ultra-high channel count recording systems and advanced vibrator control systems have facilitated the massive amount of data being acquired on shore. The goal is to acquire datasets that are full azimuth with long offsets, dense spatial sampling, and broadband. Two geophysical perspectives are used to justify the use of these types of acquisitions. First is to sample the reflection signal for the optimum illumination and imaging to interpret the complex reservoirs. The second is to adequately sample the noise so it may be separated from the signal and removed with minimal signal distortion. To some extent, the goal of better sampling the signal has been demonstrated; however, the demonstration of better noise removal is more challenging.

There is a clear opportunity: 3D seismic land acquisition and processing is undergoing a significant change that will likely dramatically improve data quality. The changes include 1) dramatically lighter and cheaper nodes and simultaneous sources which each increase the number of receivers and sources by 5-10x, and together increase data quantity by ~50x; 2) Ability to do creative, irregular field layouts to optimize acquisition for noise, practical constraints, and geologic objective (parts of this have been called Compressive Sensing); and 3) More advanced processing to address the noise, correct signal distortion, and irregular geometry. 

In this workshop we will seek to address questions regarding where we are in seismic acquisition and where we are going in the future, what is working and what is not. Some basic questions to touch on are:

  • What are the main causes of land seismic not resolving subtle reservoir complexity?
  • We propose that interpretation science and tools have become very advanced, but they appear to be held back by the seismic data quality after acquisition and processing.
  • Do industry methods for acquisition and processing have to get better in many cases?
  • Do we have better acquisition and processing methods but the industry isn't applying them?

W-3: Integrated Geophysical and Geomechanical Evaluation of Induced Seismicity

This workshop has been canceled.

W-4: Machine Learning and Data Analytics Algorithms and Workflows for Geoscience Applications

8:30 AM - 5:00 PM
Convention Center, Room 301B

Organizers: Aria Abubakar, Schlumberger; Sergio Chavez-Perez, IMP; Wenyi Hu, AGT; Anisha Kaul, Schlumberger; Weichang Li, Aramco; Anoop Mullur, ExxonMobil
Email
Through the support of the SEG Research Committee

This workshop will review and discuss the recent development that leverages the “latest” data analytics and machine learning techniques to improve the efficiency and accuracy of geoscience workflows, and explore new opportunities. For example, in addition to the existing applications such as geobody identification and well log multivariate data analysis, what other challenging geoscience problems can be formulated and solved effectively by machine learning? How to tailor the machine learning structures, algorithms, and strategies to meet the specific structures of geoscience data? How to fully exploit the power of machine learning and data analytics while combined with physics-based approaches?

Ultimately, this workshop will review and discuss successes, potentials, and challenges of machine learning practice in geoscience, stimulating interest in both geoscience and machine learning communities, and accelerating the R&D activities in this area.

Workshop Schedule

8:30 AM – 8:35 AM
Introduction

Session 1: Seismic Interpretation

8:35 AM – 8:55 AM
Learning Physics with Deep Neural Networks for Seismic Reservoir Characterization
Ping Lu, Anadarko

8:55 AM – 9:15 AM
Machine Learning-assisted Seismic Interpretation with Geologic Constraints
Haibin Di, Schlumberger

9:15 AM – 9:35 AM
Learning with Limited Supervision: Lithology Interpretation Case Study
Ghassan AlRegib, Georgia Tech

9:35 AM – 9:55 AM
Meta Learning using Student-teacher Neural Networks
Satyakee Sen, TGS

9:55 AM – 10:15 AM
Multi-channel Convolutional Neural Network Workflow for Automatic Salt Interpretation
Ruichao Ye, ExxonMobil

10:15 AM – 10:40 AM
Panel

10:40 AM – 10:50 AM
Break

Session 2: Wellbore

10:50 AM – 11:10 AM
Formation Lithology Classification Using Supervised and Unsupervised Machine Learning
Nadima Dwihusna, CSM

11:10 AM – 11:30 AM
Machine Learning Enhanced Borehole Sonic Interpretation
Lin Liang, Schlumberger

11:30 AM – 11:50 AM
ML-based Nano-scale Carbonate Rock Reconstruction and Associated Microfluidics Design for EOR and CO2 Sequestration
Jonghyun Harry Lee, University of Hawaii, Manoa

11:50 AM – 12:05 PM
Panel

12:05 PM – 1:35 PM
Lunch

Session 3: Reservoir Characterization

1:35 PM – 1:55 PM
Deep learning applications for derisking geologic complex structures
Diego Hernandez, ExxonMobil

1:55 PM – 2:15 PM
Enhanced 3D Geological Modeling Through Machine Learning
Aria Abubakar, Po-Yen Wu, Schlumberger

2:15 PM – 2:35 PM
Deep Learning Based on 3D EM Inversion for Reservoir Monitoring
Weichang Le, Aramco Research Center, Houston

2:35 PM – 2:55 PM
Machine Learning for Geoscience: RockML
Daniel Salles Civitarese, IBM Research

2:55 PM – 3:15 PM
Panel

3:15 PM – 3:25 PM
Break

Session 4: Seismic Processing

3:25 PM – 3:45 PM
Fast Calculation of Local Pre-stack Wavefront Attributes Using AI-based Inpainting
Kirill Gadylshin, Novosibirsk State University and Andrey Bakulin, Saudi Aramco

3:45 PM – 4:05 PM
Illuminating the Earth at All Scales? The Artificially Intelligent Inversion
Tariq Alkhalifah, KAUST

4:05 PM – 4:25 PM
Inversion of Skeletonized Seismic Data by Newtonian Machine Learning
Yuqing Chen, KAUST

4:25 PM – 4:45 PM
Integrated Kinematic Time-lapse Inversion Workflow Leveraging Full-waveform Inversion and Machine Learning
Musa Maharramov, ExxonMobil

4:45 PM – 5:05 PM
Top Deep Learning Methods Applied to Seismic to Improve Accuracy and Accelerate Convergence
Benjamin Lartigue and Paul Endresen, Bluware

5:05 PM – 5:30 PM
Panel

5:30 PM – 5:30 PM
Wrap Up

W-5: Value of High-frequency FWI Models

8:30 AM - 5:00 PM
Convention Center, Room 303B

Organizers: Ping Wang, CGG; Rongrong Lu, ExxonMobil; Uwe Albertin, Chevron; Laurent Demanet, MIT; Adriano Gomes, CGG; Antonie Guitton, DUG
Email
Through the support of the SEG Research Committee

There has been some discussion about the possibility of directly interpreting the high-frequency FWI velocity model (Lu, 2016; Shen et al., 2018; Wang et al., 2019), even though the high-frequency component of the velocity model may not have much impact on the migration kinematics. However, one needs to be aware that the high-frequency FWI velocity model can be contaminated by inadequate physics (e.g., density, absorption, anisotropy and elasticity may not be modeled or allowed to change during FWI) in the inversion algorithm, and therefore its interpretation must be performed with care.

This workshop will try to answer questions like:

  • Is high-frequency FWI needed at all? How high in frequency should we go?
  • How to utilize high-frequency FWI models, the benefits and the traps?
  • What can we do to make high-frequency FWI more useful?
  • How is high-frequency FWI related to LSRTM?

Workshop Schedule

8:30 AM 8:40 AM
Welcome and Intruductions
Rongrong Lu, ExxonMobil

Session 1

8:40 AM – 9:15 AM
What do the Next Steps Along the Journey to Complete Subsurface Characterization Look Like?
John Etgen, BP

9:15 AM – 9:40 AM
Elastic Full Waveform Inversion in the Reflection Domain
Uwe Albertin, Chevron

9:40 AM – 10:05 AM
Benefits and Challenges for 3D Elastic Full-wavefield Inversion to Directly Estimate Medium Elastic Properties
Haiyang Wang, ExxonMobil

10:05 AM – 10:15 AM
Break

10:15 AM – 10:40 AM
FWI from a Reservoir Characterization Perspective
Ehsan Naeini, IKON Science

10:40 AM – 11:05 AM
Applications of Acoustic FWI Velocity Models for Interpretation and Characterization
Shihong Chi, ION

11:05 AM – 11:30 AM
Exploring the Applications of High-frequency FWI for Qualitative and Quantitative Interpretation – A Dual-azimuth Case Study
Laurence Letki, DUG

11:30 AM – 12:00 PM
Panel Discussion

Session 2

1:30 PM – 1:40 PM
Introduction
Ping Wang, CGG

1:40 PM – 2:15 PM
The Benefits and Challenges of High Frequency Waveform Inversion
Tariq Alkhalifah, KAUST

2:15 PM – 2:40 PM
Exploiting the Entire Data Bandwidth by Extended Imaging for Avoiding Cycle Skipping and Elastic Target-oriented Inversion
Ettore Biondi, Stanford University

2:40 PM – 3:05 PM
Acoustic and Elastic FWI in the Western Canadian Sedimentary Basin
Gian Matharu, University of Alberta

3:05 PM – 3:15 PM
Break

3:15 PM – 3:40 PM
High-frequency FWI on the Cloud: Cost, Value and Practicalities
Mike Warner, S-Cube

3:40 PM – 4:05 PM
How High is High in Terms of Frequencies in Full Waveform Inversion?
Denes Vigh, SLB

4:05 PM – 4:30 PM
Interpretable FWI Models: Three Decades in the Making. Are We There Yet?
Adriano Gomes, CGG

4:30 PM – 5:00 PM
Panel Discussion
Antoine Guitton DUG

W-6: Joint Imaging/Inversion of S-waves with P-waves: Advances in Characterizing Overburden, Elastic Models and Petrophysical Properties related to Conventional and Unconventional Reservoir Development

8:30 AM - 5:00 PM
Convention Center, Room 221A

Organizers: Jim Gaiser, GGC; Henri Houllevigue, Total; Jim Simmons, CSM
Email
Through the support of the SEG Research Committee

Shear waves (S-waves) are becoming more widely utilized with P-waves for joint inversion of elastic properties, and imaging using elastic model building and tomographic techniques. The focus of this workshop is on all types of S-waves: pure modes from horizontal sources and converted-wave modes (PS- or SP-waves). One of the main goals is to discuss advances in elastic model inversion and beyond, to invert for important petrophysical properties of the reservoir such as lithology, clay content, porosity, saturation, rigidity, and fracture, stress or geomechanical properties. Can anisotropic behavior of S-waves also be utilized to break free from unrealistic isotropic assumptions?

Another key goal of this workshop is to address challenges in S-wave imaging with P-waves. Are we overcoming overburden and near-surface effects for land S-wave and marine PS-wave imaging? Can full-waveform inversion and joint tomography of S-waves with P-waves be employed for elastic property characterization? What is the role of S-wave splitting for anisotropic model building in orthorhombic media – are S-waves helping or limiting the effort?

The format of the workshop will be short presentations followed by clarification questions and a more extensive discussion period. The audience will be encouraged to pose questions and also share any experiences they may have had with S-waves.

Workshop Schedule

8:30 AM – 8:35 AM
Introduction

Session 1: Imaging

8:35 AM – 8:50 AM
From Dense Data to Density of Rocks
Petr Jilek, BP

8:50 AM – 9:05 AM
Joint PP-PS Model Building for Complex Geology – An Example from Offshore Mexico
John Mathewson, SLB/WesternGeco

9:05 AM – 9:20 AM
Pure P- and S-wave Elastic Reverse Time Migration with Adjoint State Method Imaging Condition
Jorge Monsegny, University of Calgary

9:20 AM – 9:35 AM
PS-waves from OBN: What are the Remaining Bottlenecks?
Joffrey Brunelliere, Total

9:35 AM – 10:00 AM
Discussion Period

10:00 AM – 10:30 AM
Break

Session 2: Anisotropy

10:30 AM – 10:45 AM
Anisotropic AVO Inversion of DAS Walkaway VSP Data
Scott Leaney, SLB/WesternGeco

10:45 AM – 11:00 AM
Anisotropic Analysis of P- and S-waves in Eagle Ford Shale Using Rock Physics Model
Ufuk Durmus, Colorado School of Mines

11:00 AM – 11:15 AM
Anisotropic Joint Surface-wave Inversion
Edan Gofer, SLB/WesternGeco

11:15 AM – 11:30 AM
Inversion of Multicomponent Seismic Data for Orthorhombic Elastic Properties: Methodology and Application
Subhashis Mallick, University of Wyoming

11:30 AM – 12:00 PM
Discussion Period

1:30 PM – 1:35 PM
Introduction

Session 3: 9-C and Pure-mode SS-waves

1:35 PM – 1:50 PM
Joint Inversion of PP, PS and SS Seismic Data: Motivation and Application to Reservoir Prediction in Conventional and “Shale” Reservoirs
Bryan DeVault, Vecta

1:50 PM – 2:05 PM
Analyzing the Value of Nine-component Data for Seismic AVO Inversion: A Case Study in the Eagle Ford Shale
Adam Tuppen, Colorado School of Mines

2:05 PM – 2:20 PM
The Application of Pure Shear Wave Seismic Data for Gas Reservoir Delineation
Zhiwen Deng, CNPC

2:20 PM – 2:35 PM
A Preliminary Look at Joint PP-PS-SS Inversion in Native Time Domain
Benjamin Roure, CGG

2:35 PM – 3:00 PM
Discussion Period

3:00 PM – 3:30 PM
Break

Session 4: Litho-facies and Other Applications

3:30 PM – 3:45 PM
Improving Facies Classification Using PS AVO Attributes and Joint Inversion with PP Data
Carl Reine, Sound QI Ltd.

3:45 PM – 4:00 PM
Multimode AVO Inversion with Uncertainties
Edan Gofer, SLB/WesternGeco

4:00 PM – 4:15 PM
Addressing some artifacts in PP-PS registration prior to performing joint impedance inversion
Satinder Chopra, TGS

4:15 PM – 4:30 PM
Focal-time Estimation: A New Method for Stratigraphic Depth Control of Induced Seismicity
Ron Weir, University of Calgary

4:30 PM – 5:00 PM
Discussion Period

W-7: Frontiers in Seismic Reservoir Characterization

8:30 AM - 5:00 PM
Convention Center, Room 221B

Organizers: Jingfeng Zhang, BP; Per Avseth, Norwegian University of Science and Technology; Sengupta Madhumita, Saudi Aramco; Mrinal Sen, University of Texas, Austin
Email
Through the support of the SEG Research Committee

Seismic reservoir characterization can have huge business impact on exploration and reservoir development. Seismic inversion for reservoir properties is a key part of reservoir characterization. Traditional ways of seismic inversion are all deterministic and include colored inversion, EEI, and model-based inversion.

There are considerable activities and interests in seismic inversion that step beyond the deterministic approach, and/or common 1D convolution model. This full-day workshop will cover those interesting technologies: Stochastic inversion (Bayesian or not), Full Waveform based Vp, Vs, Rho inversion, and machine learning based inversion.

Workshop Schedule

Session 1: Reservoir Characterization Using Stochastic Inversion

8:30 AM – 9:05 AM
Keynote Speech: Joint Probabilistic Seismic Inversion of Lithology/Fluid Classes and Petrophysical Properties Using Gaussian Mixture and Markov Random Field Prior Models
Per Avseth, Norwegian Science and Torstein Fjeldstad, Technology University

9:05 AM – 9:40 AM
Seismic Reservoir Characterization and Monitoring Using Ensemble-based Stochastic Methods
Dario Grana, University of Wyoming

9:40 AM – 10:00 AM
Coffee Break

10:00 AM – 10:35 AM
Direct Inversion of Pre-Stack Seismic to Predict Lithology, Pore Fluid and Layer Boundary Horizon
Joe Zuech, Sharp Reflections

10:35 AM – 11:10 AM
Inverting Seismic for Reservoir Connectivity
Michel Kemper, Ikon Science

11:10 AM – 11:45 AM
Reservoir Characterization in the Presence of Thin Beds and Elastically Ambiguous Facies
Rob Ross, Qeye

11:45 AM – 12:05 PM
Discussion Session: What Distinctive Value can Stochastic Inversion Provide? What are the Pros and Cons of Different Stochastic Inversion Methodologies?

12:05 PM – 1:10 PM
Lunch Break

Session 2: Reservoir Characterization Using FWI and Machine Learning

1:10 PM – 1:45 PM
Keynote: A Boltzmann Machine for Seismic Inversion
Mrinal K. Sen, University of Texas, Austin

1:45 PM – 2:20 PM
Integrated Petrophysical Inversion: A One-step Approach to Use Generalized Geophysical Data for Reservoir Characterization and Uncertainty Estimation
Ratnanabha Sain, ExxonMobil

2:20 PM – 2:55 PM
Improved Lithofacies & Fluid Prediction by Utilizing AI Classifications with Constraint Basin-based Rock Physics Models
Ahmad Riza B. Ghazali, Petronas

2:55 PM – 3:10 PM
Coffee Break

3:10 PM – 3:40 PM
Reservoir Characterization by Deep Learning Model: True Sand Thickness Detection
Ping Lu, Anadarko Petroleum Corporation

3:40 PM – 4:10 PM
Quantitative Seismic Interpretation Using Deep Learning
Vishal Das, Stanford University

4:10 PM – 4:40 PM
Deep Learning for Seismic Inference Problems in Geostatistical Reservoir Modeling
Anshuman Pradhan, Stanford University

4:40 PM – 5:00 PM
Discussion Session: What Distinctive Value can FWI and Machine Learning Provide in Reservoir Characterization? What are the Pros and Cons of Each Methodology?

W-8: Real-Time Processing for Large-scale Streaming Seismic Data

8:30 AM - 12:00 PM
Convention Center, Room 225C

Organizers: Eileen Martin, Virginia Tech; Biondo Biondi, Stanford
Email
Through the support of the SEG Research Committee

Recent advances in many sensor data acquisition technologies paired with new computational algorithms and hardware are making real-time geophysical processing of large-scale streaming data a reality for some applications. This includes highly-instrumented unconventional and conventional fields, next-generation microseismicity monitoring, in-the-field processing of large-scale marine surveys and wireless node land surveys. In this workshop we will explore methods for real-time processing from data to decision. This includes a variety of scalable streaming algorithms including machine learning methods, adaptive pre-processing, automated noise detection and filtering, the detection of weak signals or small changes in noisy data, and fast methods for data reduction, compression or decompression. Some particular questions of interest include: How can real-time processing make a difference in operations and decisions and what are current bottlenecks? How do data acquisition systems shape real-time processing workflows (quality measures, synchronicity between sensors, batch sizes of data, etc.)? What compute resources are expected to be available in the field, and what are the tradeoffs being made to meet these constraints? How can cloud and edge computing play a role in real-time processing, and can we take advantage of new computing paradigms (e.g. map-reduce, randomized approximation algorithms, etc.)? When should machine learning or AI methods be used in lieu of more traditional computational science methods, and how interpretable or generalizable are the results?

Workshop Schedule

8:30 AM – 8:40 AM
Opening Remarks
Biondo Biondi, Stanford University and Eileen Martin, Virginia Tech

Session 1: Real-time Seismic on Land

8:40 AM – 8:52 AM
Automated Microseismic Event Detection in DAS Data Using Convolutional Neural Networks
Gary Binder, Colorado School of Mines

8:52 AM – 9:04 AM
Scalable Algorithms for Ambient Noise Interferometry
Eileen Martin, Virginia Tech

9:04 AM – 9:16 AM
DrillCAM Integrates Wireless Geophones, Rig Sensors and Near-bit Tool and Assists with Real-time Drilling Decisions
Emad Al-Hemyari, Saudi Aramco

9:16 AM – 9:26 AM
Nimble Nodes Pave the Way to Million Channel Deployments and the Next Order of Trace Density – Are We Ready?
Edward (Ted) Manning, BP

9:26 AM – 9:56 AM
Session 1 Speakers Panel and Q&A
Moderator: Biondo Biondi, Stanford University

9:56 AM – 10:15 AM
Break

10:15 AM – 10:55 AM
Accelerating Python for Real Time Analytics with GPUs, RAPIDS, Dask and Numba
Matthew Rocklin, NVIDIA

Session 2: Real-time Seismic in Marine Environments

10:55 AM – 11:07 AM
The Digitization Path to Cycle Time Reduction
Andrew Long, PGS

11:07 AM – 11:19 AM
Real-time Passive Monitoring of Offshore Drilling Operations with Large-aperture Ocean-bottom Cables
Alexander Goertz, Octio

11:19 AM – 11:29 AM
Title TBD (related to data in cloud)
Dave Nichols, Schlumberger

11:30 AM – 12:00 PM
Session 2 Speakers Panel and Q&A
Moderator: Eileen Martin, Virginia Tech

W-9: New Technologies in Marine Acquisition

8:30 AM - 12:00 PM
Convention Center, Room 225B

Organizers: Mariana Gherasim, BP; Andrew Feltham, Total; Josef Paffenholz, Fairfield Geo; Rongxin Huang, CGG; Ray Abma; Andrew Brenders, BP
Email
Through the support of the SEG Research Committee

Marine seismic technology continues to develop at a swift pace. Broadband acquisition, very low frequency sources for automatic velocity model building with FWI, simultaneous source developments such as Apparition, triple-, quadruple, and penta-source acquisition for towed-streamer surveys, coded sources for air guns and Vibroseis sources, and autonomous small sources and ocean bottom nodes are areas of rapid progress.

These new technologies can impact both exploration as well as production monitoring type surveys. Ocean bottom nodes are especially suited for time-lapse surveys due to the low noise and high repeatability compared to streamer. A recent development is the use of sparse node surveys for FWI.

Considering the current environment, these advances are essential for a cost-effective acquisition while preserving the required level of seismic data quality. During this workshop we will review and discuss the opportunities presented by these innovative techniques, share examples and review lessons learned.

Workshop Schedule

8:30 AM – 8:35 AM
Introduction
Andrew Feltham, Total

8:35 AM – 9:00 AM
Fully Autonomous Marine Seismic Acquisition Systems for Reservoir Monitoring
Jorge Lopez, Shell

Session 1: Streamer vs Nodes

9:00 AM – 9:15 AM
Large Sparse OBN Surveys: Do They Provide New Data?
Joakim Blanch, BHP

9:15 AM – 9:30 AM
Sparse Nodes for Velocity: What We Have Learned
Jiawei Mei, CGG

9:30 AM – 9:45 AM
An Update on Multi-Source Towed Streamer Acquisition
Marc Rocke, Polarcus

9:45 AM – 10:00 AM
Coffee Break

10:00 AM – 10:30 AM
Streamer vs Nodes Debate
All

Session 2: Sources

10:30 AM – 10:45 AM
The Wolfspar Experience: Designing and Testing a Source for Low-frequency Velocity Surveys
Joseph Dellinger, BP

10:45 AM – 11:00 AM
A Practical Systems-engineering Approach to Marine-vibrator Design
David Gerez, ShearWater

11:00 AM – 11:15 AM
Enhanced Low Frequency Signal to Noise Characteristics of an Airgun Technology Based Source
John Brittan, ION

11:15 AM – 11:30 AM
Multi-source Acquisition Based on the Principles of Signal Apparition
Lasse Amundsen, Equinor

11:30 AM – 12:00 PM
Open Floor Discussion
All

W-10: Misac Nabighian Memorial Workshop

8:30 AM - 12:00 PM
Convention Center, Room 304B

Organizers: Ed Biegert, Geoscientist; Yaoguo Li, Colorado School of Mines; Jean M. Legault, Geotech Ltd.; Aline Tavares de Melo, Universidade Federal de Minas Gerais; Ken Witherly, Condor Consulting; Cara Schiek-Stewart, Shell; Manik Talwani, Rice University
Email
Through the support of the Mining Committee and the Gravity and Magnetics Committee

Dr. Misac Nabighian was a pioneer in applied geophysics, an extraordinary scientist, a great teacher and mentor, and an extraordinary human being. He was best known as a leading theoretician in electromagnetic and potential-field geophysics where he made many seminal contributions. He was known for his teachings in applied geophysics, mentoring of many geophysicists, and his care for his students, friends, and colleagues. To remember and to honor Dr. Misac Nabighian and to celebrate his life and accomplishments, the SEG Gravity and Magnetics Committee and the SEG Mining Committee will hold a special postconvention workshop, “Misac Nabighian Memorial Workshop.” The workshop will invite and solicit contributions in gravity, magnetic, electrical, and electromagnetic methods with applications in mineral and hydrocarbon exploration for both oral and poster presentations.

Workshop Schedule

8:30 AM – 8:40 AM
Introduction
Jean Legault, Geotech, Ltd.

Session 1: Gravity and Magnetics

8:40 AM – 8:55 AM
Summary of Misac Nabighian’s Life and Career
Yaoguo Li, Colorado School of Mines

8:55 AM – 9:15 AM
Early Days of Computing with Misac
Manik Talwani, Rice University

9:15 AM – 9:35 AM
The Problem of Ambiguity
Thomas Lafehr

9:35 AM – 9:55 AM
The Future of Non-Seismic Methods in the Oil and Gas Industry: Misac’s Legacy
Neda Bundalo, Anadarko

9:55 AM – 10:15 AM
Posters and Discussions Open

9:55 AM – 10:15 AM
Misac Nabighian’s Influence in Geophysics
Ed Biegert

9:55 AM – 10:15 AM
Interpretation Theory of Exploration Geophysics Aids Planetary Space-borne Potential-fields Survey Design
Tiku Ravat, University of Kentucky

9:55 AM – 10:15 AM
The Analytic Signal and Its Variants
Xiong Li, CGG

9:55 AM – 10:15 AM
Modeling and Inversion with Open Source Framework
Joe Capriotti, Colorado School of Mines

9:55 AM – 10:15 AM
A Machine Learning Approach to the Magnetic Remanence Problem
Felicia Nurindrawati, University of Houston

10:15 AM – 10:35 AM
Break

Session 2: Electromagnetics and Mining

10:35 AM – 10:55 AM
The Newmont Years – Developing Ideas That Lead to Geophysical Solutions Applied to Explore Our World
Perry Eaton, Newmont Emeritus

10:55 AM – 11:15 AM
Title to be announced
Chester J. Weiss, Sandia National Laboratories

11:15 AM – 11:35 AM
Where is the Geophysical Anomaly Coming from?
Aline Tavares Melo, Universidade Federal de Minas Gerais

Posters and Discussion

11:35 AM – 12:00 PM
An Open-source Julia Package for 2D Magnetotelluric Inversion with Triaxial Anisotropy
Bo Han, China University of Geosciences

11:35 AM – 12:00 PM
Nabighian’s Smoke Rings in 3D Inversion
Dikun Yang, Southern University of Science and Technology

11:35 AM – 12:00 PM
Geothermal Exploration Base on Gravity, Magnetic and AMT Mothed at the North of Songjianghe town, Jilin, China
Guan Yanwu, Jilin University

11:35 AM – 12:00 PM
Sensitivity Area Analysis of Line Source Semi-airborne Transient Electromagnetic
Chengdong Chen, Shandong University

W-11: Long Term Monitoring of CO2 Geosequestration: Continuous Surveillance and Quantitative Interpretation

1:30 PM - 5:00 PM
Convention Center, Room 305

Organizers: Guillaume Bergery, TOTAL; Don Lawton, CMC Research Institutes and the University of Calgary; Roman Pevzner, Curtin University; Stanislav Glubokovskikh, Curtin University; Martin Schoenball, Lawrence Berkeley National Laboratory; Michel Verliac, TOTAL
Email
Through the support of the SEG Research Committee

Recent advances in acquisitions systems (fiber optics, PRM, etc.) and in permanent sources will avail practical permanent monitoring solutions in the near future. Combining time-lapse seismic with other geophysical techniques to better quantify CO2 injection is already within reach. This workshop will focus on how the combination of different geophysical methods, such as 4D surface and borehole seismic, microseismic, passive seismic tomography, gravimetry and EM can quantify the CO2 injection. Current limitations, reliability and possible improvements of sources, acquisition systems, and inversion techniques will also be discussed.

Workshop Schedule

1:30 PM – 1:40 PM
Introduction
Guillaume Bergery, Total

Session 1

1:40 PM – 1:55 PM
Automated Assimilation of Permanent Seismic Monitoring Data for Rapid CO2 Plume Forecasting Based On: Feasibility Study for CO2CRC Otway Project
Stanislav Glubokovskikh, Curtin University

2:00 PM – 2:15 PM
CCS Geophysical Monitoring at the Laboratory Scale During and After CO2 Injection Activities
Ismael Falcon-Suarez, NOC Southampton

2:20 PM – 2:35 PM
4D Surface Seismic: Multi Monitor Warping as a First Step to Quantitative Inversion. Application to CO2CRC Stage 2C
Guillaume Bergery, Total

2:40 PM – 2:55 PM
Monitoring CO2 Injection Using Multi Well Time-lapse Offset VSP Acquired with DAS and Permanent Sources – How to Get There: CO2CRC Otway Project Case Study
Julia Correa, LBNL

3:00 PM – 3:15 PM
Break

Session 2

3:15 PM – 3:30 PM
Microseismic Monitoring for Geological Storage of CO2: Is It Trending, or Necessary?
Sherilyn Williams-Stroud, ISGS

3:35 PM – 3:50 PM
TBA
Rick Gibson, NanoSeis

3:55 PM – 4:10 PM
TBA
Vincent Lanticq, Febus Optics

4:15 PM – 4:30 PM
Quantitative Monitoring and Multiphysic Inversion
Bastien Dupuy, SINTEF

W-12: Interpretation and De-risking to Support Decision making in Development and Production

1:30 PM - 5:00 PM
Convention Center, Room 225B

Organizers: Adam Bucki, ExxonMobil; Jay Byers, Chevron; Andrew Royle, Chevron; Mariana Gherasim, BP
Email
Through the support of the SEG Development and Production Committee

What does it take to define, manage and optimize a reservoir throughout field life? What information is needed to produce in an optimal way and what can we do to ensure that geophysical data is valued throughout the life of a field?

Data collection, analysis and integration is critical input for field management decisions and the influence of geophysical data can be significant. But sometimes there are road blocks preventing our input from being optimized. Our goal in this workshop is to enhance our understanding of opportunities for integration and become better “internal entrepreneurs” so that geophysics functions can improve support for reservoir management decisions.

We will explore the perspectives and objectives of geologic modelers, and interpreters and discuss ways to maximize insights gained from seismic data. We will also get input from vendors on integration misses. Looking forward, machine learning is on the horizon and we will discuss how is this landscape will change and what can we do now to prepare ourselves to influence with this potential paradigm shift?

There will be time at the end for detailed discussion and questions.

Workshop Schedule

1:30 PM – 1:40 PM
Introduction
Adam Bucki, ExxonMobil

1:40 PM – 2:05 PM
Geophysical Applications in the Evaluation of Resource and Reserve Estimation: Changes to PRMS
Eric VonLunen, Nexen

2:05 PM – 2:30 PM
What do Reservoir Engineers and Geologists Need From Me as a Geophysicists?
Samarjit Chakraborty, BP

2:30 PM – 2:55 PM
Break

2:55 PM – 3:20 PM
Opportunities for Integration We May be Missing
John Pendrell, CGG

3:20 PM – 3:45 PM
The Issues with EUR and Net Rock. How Can We Better Generate Petrophysical Properties from Seismic?
Jay Byers, Chevron

3:45 PM – 4:10 PM
Reservoir Models and the Challenges of Scale. How Do You Pull In Geophysicists at Various Scales?
Andrew Royle, Chevron

4:10 PM – 4:20 PM
Break

4:20 PM – 4:45 PM
What’s Next in Integration? Machine Learning and Leveraging Seismic for Decisions
Alex Edwards, Ikon Science

4:45 PM – 5:30 PM
Panel Discussion and Closing

W-13: Geophysical Monitoring of Unconventional Reservoirs

This workshop has been canceled.

W-14: DAS Part 2: What is next for DAS? Operator needs versus technology suppliers' vision

8:30 AM - 12:00 PM
Convention Center, Room 302B

Organizers: Michel Verliac, TOTAL; Ge Zhan, BP; Mahmoud Farhadiroushan, Silixa; Albena Mateeva, Shell; Michael John Williams, Schlumberger
Email
Through the support of the SEG Research Committee

Over the past few years, distributed acoustic sensing (DAS) has been successfully used in many geophysical applications. The use of DAS in the oil and gas industry for borehole/surface seismic imaging, reservoir surveillance and microseismic monitoring for fractures has recently been accelerated with the improvements in fiber/interrogator sensitivity, flexible deployment of fiber-optic cables and the advances in data processing. This Part 2 of the DAS workshop will open for discussion the future needs from the operators versus the technology suppliers’ vision for new developments. Are they aligned?

Workshop Schedule

8:30 AM – 8:35 AM
Introduction
Michel Verliac, Total

Session 1: Operator Needs

8:35 AM – 8:50 AM
Simultaneous Acquisition of Surface Seismic and Vertical DAS Arrays Reduces Structural Uncertainty for Subtle Exploration Targets
Andrey Bakulin, Ilya Silverstrov, and Abdulrahman Alshuhail, Aramco

8:50 AM – 9:05 AM
The Value Proposition of DAS/DTS (DxS) Across the Life-cycle of a Field
Wilfred Berlang, Shell

9:05 AM – 9:20 AM
Deployment of Fiber Optic Sensors in an Archetype Subsea Field Development for DAS VSP and Reservoir Flow Monitoring
Brian Seabrook, ExxonMobil

9:20 AM – 9:35 AM
Cutting Through the FOG (Fiber Optic Geophysics) in Subsea Wells
Scott A. Baker, Chevron Energy Technology Company

9:35 AM – 9:55 AM
Panel Discussion for Session 1
Yuting Duan, Shell

9:55 AM – 10:05 AM
Break

Session 2: Suppliers Vision

10:05 AM – 10:20 AM
Advances in DAS Derived Distributed Temperature and Strain Sensing, and Use of Engineered Fibers
Oleg Valishin, Sercel

10:20 AM – 10:35 AM
Next Generation Distributed Fiber Sensing
David Hill, Sintela

10:35 AM – 10:50 AM
Defining Future DAS Hardware and Applications Through Use of a Digital Twin
Colin Wilson, Alexis Constantinou, and Phil Armstrong, Schlumberger

10:50 AM – 11:05 AM
New Insights into Hydraulic Fracture Mechanics from Next Generation Distributed Acoustic Data
Werner M. Heigl, David El Diller, Richard L. Gibson, and Pete Richter, Nanoseis LLC, Silixa

11:05 AM – 11:25 AM
Panel Discussion for Session 2

11:25 AM – 11:55 AM
Panel Discussion on: What is Next for DAS? Are We Aligned?

11:55 AM – 12:00 PM
Workshop Closure

W-15: Advances with Land Seismic for Characterizing Reservoirs - Part 2

8:30 AM - 12:00 PM
Convention Center, Room 221D

Organizers: Christof Stork, LSNS; Mike Perz, TGS; Bruce Hootman, WG; Rodney Johnston, BP
Email
Through the support of SEAM and the SEG Research Committee

Over the past 10‑15 years land acquisition and data processing has concentrated on acquiring denser and more broad-band data around the globe. Continuous recording, simultaneous source acquisition, ultra-high channel count recording systems and advanced vibrator control systems have facilitated the massive amount of data being acquired on shore. The goal is to acquire datasets that are full azimuth with long offsets, dense spatial sampling, and broadband. Two geophysical perspectives are used to justify the use of these types of acquisitions. First is to sample the reflection signal for the optimum illumination and imaging to interpret the complex reservoirs. The second is to adequately sample the noise so it may be separated from the signal and removed with minimal signal distortion. To some extent, the goal of better sampling the signal has been demonstrated; however, the demonstration of better noise removal is more challenging.

There is a clear opportunity: 3D seismic land acquisition and processing is undergoing a significant change that will likely dramatically improve data quality. The changes include 1) dramatically lighter and cheaper nodes and simultaneous sources which each increase the number of receivers & sources by 5-10x, and together increase data quantity by ~50x; 2) Ability to do creative, irregular field layouts to optimize acquisition for noise, practical constraints, and geologic objective (parts of this have been called Compressive Sensing); and 3) More advanced processing to address the noise, correct signal distortion, and irregular geometry. 

In this workshop we will seek to address questions regarding where we are in seismic acquisition and where we are going in the future, what is working and what is not. Some basic questions to touch on are:

  • What are the main causes of land seismic not resolving subtle reservoir complexity?
  • We propose that interpretation science and tools have become very advanced, but they appear to be held back by the seismic data quality after acquisition and processing.
  • Do industry methods for acquisition and processing have to get better in many cases?
  • Do we have better acquisition and processing methods but the industry isn't applying them?

W-16: Artificial Intelligence Frontiers in Geosciences

8:30 AM - 12:00 PM
Convention Center, Room 301B

Organizers: Vikram Jayaram, Pioneer; Atish Roy, BP
Email
Through the support of the SEG Research Committee

Unprecedented current developments in deep learning technologies, algorithms in pattern and predictive recognition have driven modern-day decision making through predictive analysis and uncovered insights to find correlations and causalities from complex and heterogeneous sources of oil field data.

In this workshop we address and compile insightful case studies and applications of robust machine learning (ML) algorithms and systems that can automate the processing, interpretation and characterization of geological, geophysical data within an integrated framework. We will also discuss the opportunities and challenges using these intelligent compute agents.

Workshop Schedule

Session 1

8:30 AM – 8:55 AM
Physics-Based AI/ML Approaches That Enable Real-Time Oil and Gas Decision Making
Jean-Marie Laigle, Belmont Technology Inc.

8:55 AM – 9:20 AM
Learning with Limited Supervision: Structure Interpretation Case Study
Ghassan AlRegib, Omni Lab for Intelligent Visual Engineering and Science (OLIVES)

9:20 AM – 9:45 AM
Enhancing Seismic Analysis: Machine Learning Case Studies
Heather Bedle, University of Oklahoma

9:45 AM – 10:10 AM
Panel Type Discussion Related to Session 1 Presentations
All

10:10 AM – 10:20 AM
Break

Session 2

10:20 AM – 10:45 AM
Automated Machine Learning in Your Machine Learning Pipeline
Ivan Marroquin, Geophysical Insights

10:45 AM – 11:10 AM
Deep Learning in Assisting Geological Interpretation
Bo Zhang, University of Alabama

11:10 AM – 11:35 AM
Low Bit Rate 2D Seismic Image Compression with Deep Autoencoders
Joao Paulo de Oliveira, NVIDIA

11:35 AM – 12:00 PM
Panel Type Discussion Related to Session 1 and Session 2 Presentations
All

W-17: Seismic Attributes in the Age of Machine Learning

8:30 AM - 12:00 PM
Convention Center, Room 303B

Organizers: Long Jin, Shell; Jie Zhang, ExxonMobil; Oswaldo Davogusstto Cataldo, Shell
Email
Through the support of the SEG Research Committee

  • New attributes
  • New attributes assisted workflows and applications in different geological settings
  • Can machine learning be an enabler for seismic attributes analysis?
  • Advances in attribute computing
  • Do we still need attributes when machine learning-based workflows start to mature?

Workshop Schedule

8:30 AM – 8:40 AM
Introduction
Long Jin, Shell; Jie Zhang, ExxonMobil; and Oswaldo Davogustto Cataldo, Shell

Session 1: Short Presentations from Each Panelist

8:40 AM – 8:50 AM
Kurt Marfurt, University of Oklahoma

8:50 AM – 9:00 AM
Donald Griffith, Shell

9:00 AM – 9:10 AM
Hongliu Zeng, UT

9:10 AM – 9:20 AM
Tracy Stark, STARK Research

9:20 AM – 9:30 AM
Diego Hernandez, ExxonMobil

9:30 AM – 9:40 AM
Lu Ping, Anadarko

9:40 AM – 9:50 AM
Jay Byers, Chevron

9:50 AM – 10:00 AM
Break

Session 2

10:00 AM – 11:30 AM
Discussion and Q&A with All Panelists

W-18: Least-Squares Migration and the Way Forward

8:30 AM - 12:00 PM
Convention Center, Room 221A

Organizers: Ping Wang, CGG; Faqi Liu, PGS; Gerald Schuster, KAUST; Antoine Guitton, DUG; Hui Huang, CGG; Carlos Calderon, ION
Email
Through the support of the SEG Research Committee

Least-squares migration was first proposed in the 1980s. Its original form works in the data domain, involving an iterative process of migration and Born modeling, which is computationally prohibitive for modern 3D seismic data sets. Image-domain single-iteration approaches were later introduced as a cost-reducing alterative; however, the observed imaging uplift of such approaches was too limited to justify the still very expensive compute cost. In recent years, advancements in compute power and algorithm implementation have made these image-domain single-iteration approaches more practical and attractive for field data applications.

This workshop will aim at establishing the way forward for the technique by sharing successes and challenges of existing LSM approaches and some ongoing frontier research in LSM:

  • The impact of velocity errors on LSM and ways to mitigate it
  • The impact of multiples and other coherent noise and ways to reduce it or use these events
  • The reduction of compute cost through preconditioning and/or encoding
  • Combining LSM and reflection FWI (RFWI)
  • The link between LSM and high-frequency FWI
  • Multi-parameter LSM: inverting for more model perturbation types
  • Road ahead for LSM

Workshop Schedule

Session 1:

8:30 AM – 8:35 AM
Introduction
Faqi Liu, PGS

8:35 AM – 9:05 AM
Least-squares Migration: Looks Like Nothing is Happening, Nothing is Happening, and Then Whoops, Suddenly You’re in a Different World
Gerard Schuster, KAUST

9:05 AM – 9:25 AM
A Kronecker Sum Decomposition of the Hessian and Its Application to Fast Two-way Wave Equation Least-squares Migration
Mauricio D. Sacchi, University of Alberta

9:25 AM – 9:45 AM
True-amplitude Least-squares Reverse Time Migration with the Quasi-elastic Wave
Zongcai Feng, KAUST

9:45 AM – 10:05 AM
Velocity Uncertainty in LS RTM and Joint Migration and Inversion with the Two-wave Equation
Carlos Calderon, ION

10:05 AM – 10:10 AM
Break

Session 2:

10:10 AM – 10:30 AM
Least-squares Migration for Subsalt Imaging: Practical Challenges and Strategies
Hongda Ma, CGG

10:30 AM – 10:50 AM
Image-domain Least-squares Migration for Amplitude Fidelity and AVO/AVA Compliant Migration Gathers
Bin Wang, TGS

10:50 AM – 11:10 AM
Image-domain Least-squares Migration for RTM Surface-offset Gathers
Wei Dai, SLB

11:10 AM – 11:30 AM
Least-squares Migration with Reliable Angle Gathers
Nizar Chemingui, PGS

11:30 AM – 12:00 PM
Panel Discussion
Antoine Guitton, DUG,

W-19: Geophysics for Geothermal Applications

This workshop has been canceled.

W-20: Rock Physics Implications of CO2 Injection in the Subsurface

8:30 AM - 12:00 PM
Convention Center, Room 221C

Organizers: Hendratta Ali, Fort Hays State University; Nazmul Haque Mondol, University of Oslo; Manika Prasad, Colorado School of Mines
Email
Through the support of the SEG Women's Network Committee

This workshop will bring together a panel of experts and practitioners to share insights about the challenges/opportunities for applying rock physics to image CO2 and fluids interactions in the subsurface. Intended for geoscientists interested in the processes, imaging and detection technologies to detect and quantify subsurface fluids and CO2. This workshop is sponsored by the SEG WNC.

W-21: Ambient Noise Imaging and Monitoring for High-resolution Spatial and Temporal Near-surface Characterization and Exploration Seismology

8:30 AM - 12:00 PM
Convention Center, Room 225B

Organizers: Niels Grobbe, University of Hawaii at Manoa; Sjoerd de Ridder, University of Leeds
Email
Through the support of the SEG Near-Surface Geophysics Technical Section

Leaders from industry and academia will present on the advancements in ambient seismic noise for high-resolution spatial, temporal near-surface characterization, and exploration seismology. The session will cover a wide range of inter-connected topics; e.g. noise correlation monitoring studies, novel sensor technologies, near-surface (e.g. groundwater) and exploration scale applications, and wavefield gradiometry using dense sensor networks.

Workshop Schedule

8:30 AM – 8:35 AM
Introduction

Session 1:

8:35 AM – 8:55 AM
Near-surface S-wave Velocity Estimation Using Ambient Noise from Fiber-optic Acquisition
Zhendong Zhang, Tariq Alkhalifah, KAUST

8:55 AM – 9:15 AM
Passive Seismic Ambient Noise Surface Wave Tomography Applied to Two Exploration Targets in Ontario, Canada
Richard Lynch, Sisprobe

9:15 AM – 9:35 AM
Post Processing of Ambient Noise Correlation for More Accurate Imaging and Monitoring
Nori Nakata, MIT

9:35 AM – 10:20 AM
Posters and Coffee Break

Session 2:

10:20 AM – 10:40 AM
Earthquake-based Passive Seismic Exploration Techniques
Katerina Polychronopoulou, Seismotech

10:40 AM – 11:00 AM
Imaging Subsurface Scatterers Across a Dense Geophone Array in Long Beach Using Noise Cross-correlation and Natural Inversion
Abdullah Altheyab, Gerard Schuster, KAUST

11:00 AM – 11:20 AM
Vs Imaging from Ambient Noise Rayleigh Wave Tomography for Oil Exploration in Nevada, USA
Anais Boue, Sisprobe

11:20 AM – 11:55 PM
Posters and Coffee Break Antoine Guitton, DUG

Posters

Near-real Time 3D Seismic Velocity and Uncertainty Models from Ambient Noise, Gradiometry and Machine Learning
Sjoerd de Ridder, University of Leeds

A Practical Guide to Ambient Noise DAS Data
Eileen Martin, Virgina Tech

Processing and Direct Migration of Ambient Seismic Data
Aaron Girard and Jeffrey Shragge, Colorado School of Mines

Monitoring of Fields Using Body and Surface Waves Reconstructed from Passive Seismic Ambient Noise
Richard Lynch, Sisprobe

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SEG San Antonio 2019

15-20 September 2019
Henry B. González Convention Center
900 E Market St.
San Antonio, TX 78205

Phone: 918-497-4644
Email: [email protected]

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