Watch videos of Presentations from SEG 2017
Using Attributes to Interpret the Environment of Deposition - A Video Course. Taught by Kurt Marfurt, Rocky Roden, and ChingWen Chen
Dr. Kurt Marfurt and Dr. Tom Smith featured in the July edition of AOGR on Machine Learning and Multi-Attribute Analysis
Rocky Roden and Ching Wen Chen in May edition of First Break - Interpretation of DHI Characteristics using Machine Learning
Seismic interpretation and machine learning by Rocky Roden and Deborah Sacrey, GeoExPro, December 2016

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Seismic Attributes for the Environment of Deposition
a Video Course

Instructors: Dr. Kurt Marfurt, Rocky Roden, Dr. ChingWen Chen
Cost: $99

Summary

The evaluation of seismic attributes is a powerful tool in the interpretation of different geologic environments of deposition.  Seismic attributes, specifically geometric and spectral decomposition attributes, provide a framework for interpreting geologic features that define depositional environments.  This video course identifies the appropriate seismic attributes for various geologic settings and describes how these attributes are applied. Lecture and demonstrations cover the use of attributes in interpretation workflows and manipulate attribute parameters to highlight geologic features.  The last video segment of the course describes how sets of attributes are analyzed and classified using multi-attribute, Machine Learning processes to extract more information from the seismic response. 

In this 10-part video series, leading experts demonstrate the applications of attributes.  The $99 registration fee allows access to all course content - both videos and powerpoints, for 7 days.  Click the link to purchase your access. 

Who Should Attend

Geophysicists, geologists, and petroleum engineers who have a basic knowledge of attributes and are seeking a better understanding of the applications of geometric and spectral decomposition attributes. 

Learning Objectives

Participants will learn to:

  1. Assess the appropriate seismic attributes and associated significant parameters to improve images for different geologic features.
  2. Systematically incorporate seismic attribute evaluations in a comprehensive interpretation of the environment of deposition.
  3. Utilize Attribute Generator in Paradise software to generate appropriate attribute volumes.
  4. Conduct multi-attribute analysis via different visualization tools and machine learning techniques.

 

  • Carbonates

  • Shale resource drilling (“geo”) hazards

  • Attribute and suboptimum seismic data

  • Examples of Multi-attribute visualization vs. Mulit-attribute SOM

Topics Covered

  • Faulting and Folds
  • Seismic stratigraphy

  • Architectural elements of fluvial-deltaic systems

  • Architectural elements of deep water systems

  • Diapirs

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KURT J. MARFURT is the Frank and Henrietta Schultz Chair and Professor of Geophysics in the ConocoPhillips School of Geology & Geophysics at the University of Oklahoma. He has devoted his career to seismic processing, seismic interpretation and reservoir characterization, including attribute analysis, multicomponent 3-D, coherence and spectral decomposition. Marfurt began his career at Amoco in 1981. After 18 years of service in geophysical research, he became director of the University of Houston’s Center for Applied Geosciences & Energy. He joined the University of Oklahoma in 2007. Marfurt holds an M.S. and a Ph.D. in applied geophysics from Columbia University.

 

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ROCKY R. RODEN has extensive knowledge of modern geoscience technical approaches (past Chairman-The Leading Edge Editorial Board).  As former Chief Geophysicist and Director of Applied Technology for Repsol-YPF, his role comprised advising corporate officers, geoscientists, and managers on interpretation, strategy and technical analysis for exploration and development in offices in the U.S., Argentina, Spain, Egypt, Bolivia, Ecuador, Peru, Brazil, Venezuela, Malaysia, and Indonesia.  He has been involved in the technical and economic evaluation of Gulf of Mexico lease sales, farmouts worldwide, and bid rounds in South America, Europe, and the Far East.  Previous work experience includes exploration and development at Maxus Energy, Pogo Producing, Decca Survey, and Texaco.  He holds a B.S. in Oceanographic Technology-Geology from Lamar University and a M.S. in Geological and Geophysical Oceanography from Texas A&M University.

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CHINGWEN CHEN received a M.S. (2007) and a Ph.D. (2011) in Geophysics from the University of Houston, studying global seismology. After graduation, she joined the industry as a geophysicist with Noble Energy where she supported both exploration and development projects. Dr. Chen has a great passion for quantitative seismic interpretation, and more specifically rock physics, seismic imaging and multi-seismic attribute analysis. She later joined Geophysical Insights as a Senior Geophysicist, where the application of machine learning techniques became a focus of her work. Since 2015, her primary interest has been in increasing the efficiency of seismic interpretation.