Special education events this year include the SEG Distinguished Instructor Short Course (DISC), a new Career Workshop, Google Hackathon, and EAGE Education Tour 13 (EET 13).
You can sign up for Ancillary Education Sessions and more when you register for the SEG Annual Meeting – see pricing below. Only want to attend DISC or EAGE EET 13? Email email@example.com to register.
Seismic Attributes as the Framework for Data Integration throughout the Oilfield Life Cycle
Instructor: Kurt J. Marfurt
Thursday, 18 October 2018
8:00 am - 5:00 pm
- Member: $325.00
- Nonmember: $420.00
- Student: $100.00
- Seismic interpreters who want to extract more information from their data.
- Seismic processors and imagers who want to learn how their efforts impact subtle stratigraphic and fracture plays.
- Sedimentologists, stratigraphers, and structural geologists who use large 3D seismic volumes to interpret their plays within a regional, basin-wide context.
- Reservoir engineers whose work is based on detailed 3D reservoir models and whose data are used to calibrate indirect measures of reservoir permeability.
- Team leaders who wish to identify advances in machine learning technology that promise improved efficiency and accuracy in the integration of large data volumes.
Prerequisites (Knowledge/Experience/Education Required)
Participants should have a basic understanding of sedimentology and structural geology and familiarity, but not necessarily expertise in 3D seismic interpretation. The accompanying textbook will include mathematical details of volumetric attribute calculation, image processing, and machine learning algorithms. The lecture will focus on fundamental assumptions, algorithm application, and analysis of the results.
- Seismic attributes and what they measure
- Post-migration data conditioning and image enhancement
- The exploration stage of the oil field life cycle
- The development stage of the oil field life cycle
- The mature stage of the oil field life cycle
- The rebirth stage of the oil field life cycle
- Data integration and a profile of the future interpreter
After completing this short course, the participant should be able to
- use attributes to quantify geometric, dynamic, kinematic, statistical, and geomechanical properties of the 3D seismic data volume,
- use 3D visualization and multiattribute crossplots to interactively enhance and isolate geologic features that otherwise might be overlooked,
- use concepts of geomorphology, diagenesis, and tectonic deformation to integrate seismic and well-log data within an appropriate geologic framework,
- use classical statistics and modern machine learning to establish correlations between 3D seismic data, rock properties, and engineering data that then can be employed to predict future rates of penetration, well-completion success, and well-fluid production, and
- use seismic attributes computed from 3D seismic data as the framework for data integration throughout the lifespan of the oil field.
About the Instructor
Kurt J. Marfurt joined The University of Oklahoma in 2007 where he serves as the Frank and Henrietta Schultz Professor of Geophysics within the ConocoPhillips School of Geology and Geophysics. Marfurt’s primary research interest is in the development and calibration of new seismic attributes to aid in seismic processing, seismic interpretation, and reservoir characterization. Recent work has focused on applying coherence, spectral decomposition, structure-oriented filtering, and volumetric curvature to mapping fractures and karst with a particular focus on resource plays. Marfurt earned a Ph.D. in applied geophysics at Columbia University’s Henry Krumb School of Mines in New York in 1978 where he also taught as an Assistant Professor for four years. He worked 18 years in a wide range of research projects at Amoco’s Tulsa Research Center after which he joined the University of Houston for 8 years as a Professor of Geophysics and the Director of the Allied Geophysics Lab. He has received the SEG best paper (for coherence), SEG best presentation (for seismic modeling), as a coauthor with Satinder Chopra best SEG poster (one on curvature, one on principal component analysis) and best AAPG technical presentation, and as a coauthor with Roderick Perez Altimar, SEG/AAPG Interpretation best paper (on brittleness) awards. Marfurt also served as the EAGE/SEG Distinguished Short Course Instructor for 2006 (on seismic attributes). In addition to teaching and research duties at OU, Marfurt leads short courses on attributes for the SEG and AAPG, and currently serves as Editor in Chief of the AAPG/SEG Journal Interpretation.
Strategies and tools for improving your professional profile and employability
Tuesday, 16 October 2018
9:00 am – 11:30 am
This short course is designed for the professional development of geophysicists in a changing energy ecosystem. Attendees will increase career awareness and acquire skills aimed at professional and personal development and career mobilization. Exercises reinforce the concepts introduced in the course, including understanding self, professional branding, networking and a career toolkit to take into the future. This course is expressly tailored to the needs of SEG members by the management consulting professionals at Lincoln Leadership Advisors.
- Understanding self: Self-assessment, the need for empowerment
- Professional branding: Put together a killer CV, LinkedIn and social media essentials, branding and positioning at work and interviews, strategize your future
- Networking: Platforms and strategies, the dos and don’ts of effective networking
- Career toolkit: Core values, picking your tools and keeping them sharp, action plans
Google and Friends Hackathon for Data Science and Machine Learning
Wednesday, 17 October
8:00 am – 5:00 pm
This course will be comprised of a quick overview of Machine Learning using Tensorflow and include several modular hackathon style events focused on making Data Science accessible to everyone who is interested!
EAGE EET 13:
Velocities, Imaging, and Waveform Inversion - The Evolution of Characterizing the Earth's Subsurface
Instructor: Ian Jones
Sunday, 14 October 2018
8:00 am – 4:00 pm
- Member: $85.00
- Nonmember: $175.00
- Student: $60.00
In using sound waves to characterize the Earth's subsurface, we can employ ray-theory and/or wave-theory, and both migration algorithms and parameter estimation schemes employ one or other of these theoretical descriptions. In this course, we'll review the evolution of the industry's approaches to building earth models via velocity estimation and imaging, outlining the evolution from ray tomography to full waveform inversion, and look towards the emerging possibilities for replacing imaging techniques with direct subsurface parameter inversion methods.
The approach will be mostly non-mathematical, concentrating on an intuitive understanding of the principles, demonstrating them via case histories, and will be divided into the following sections:
- dealing with the near surface
- the effects of strong vertical velocity contrasts
- the effects of strong lateral velocity contrasts
- waves versus rays
- model building using ray methods (tomography)
- model building using wavefield extrapolation methods (FWI)
- data examples and comparisons
- future developments
The first three sections outline the nature of the problems we face when building images representing subsurface impedance contrasts, and the next three deal with the technology we deploy to address the problems. In addition, I’ve included three appendices to outline: the historical development of model building; anisotropy; and pre-processing considerations for complex imaging. Several of the individual chapters build on a series of recent tutorial papers which I published in First Break. However, only the key points from these tutorial papers are included, so I refer readers to the original papers for more detail and/or a range of real data examples for each of their topics.