Oil and Gas
Oil and Gas | Geophysics and Seismic Interpretation
Business Impact: Students will gain the skills required to select and apply a broad range of seismic attributes including combined attributes in exploration and reservoir characterization projects.
Lecture and exercise materials cover interpretation workflows using attributes currently available on most modern workstations as well as recently developed seismic applications designed to extract the smaller scale geologic details required for the construction of reservoir models.
Duration and Training Method
This is a classroom or virtual classroom course comprising a mixture of lectures, data examples, case studies, and practical exercises.
Participants will learn to:
- Review seismic wave fundamentals including the convolutional model, tuning, phase and understand the importance of maximizing seismic bandwidth.
- Assess the role of post stack attribute tools commonly found in most workstation software in seismic interpretation workflows. Examples include the use of max/min amplitude, instantaneous frequency/phase, curvature, coherency and dip/azimuth attributes as structural or stratigraphic indicators.
- Evaluate the role of AVO (amplitude vs. reflection angle) measurements to address specific interpretation problems including fluid prediction and the estimation of elastic rock properties.
- Investigate the use of spectral enhancement attributes such as Sparse Layer Inversion in interpretation workflows.
- Appraise the use of geo-statistical tools, spectral decomposition, and multi-attribute analysis in reservoir characterization.
- Recognize the limitations of AVO tools, post stack inversion, and other seismic attributes.
- Develop fit-for-purpose interpretation workflows for several exploration and production problems in the classroom.
Review of seismic imaging fundamentals
- Rock physics
- Seismic wave propagation
- The convolutional model & reflectivity
- Factors affecting seismic resolution
- Benefits of 3-D imaging
Overview of commonly used seismic attributes
- Amplitude attributes
- Complex trace attributes
- Spatial attributes
- Post stack seismic inversion
- Spectral decomposition
- Isochron & residual maps
Elastic response attributes
- Elastic impedance
- Direct hydrocarbon indicators
- Cross plot analysis
- Multi-attribute analysis
- Neural networks
- Geostatistical analysis
- Validation and significance testing
Interpretation workflow presentations by class
Who Should Attend and Prerequisites
This course has been designed for geoscientists possessing; 1) a basic understanding of the fundamentals of seismic technology including data processing, 2) having a minimum of three years experience interpreting 3D seismic data, and 3) who are interested in learning more about the application of seismic attributes to achieve exploration, reservoir characterization and production objectives.
Dr. John P. Castagna, a research geophysicist with extensive industry experience in petroleum exploration and development, came to the University of Houston in 2003. Previously, he was a professor for eight years at the University of Oklahoma. Prior to that, he spent 16 years working for Atlantic-Richfield Corporation in a variety of research, operations, and management positions.
In 1995 he served as Distinguished Lecturer for The Society of Exploration Geophysicists. He has served the SEG in various other capacities including: Chairman of The Leading Edge editorial board, Vice-President, Technical Program Chairman, and from whom he received the Reginald Fessenden Award for Technical Achievement. His book, Offset-Dependent- Reflectivity: Theory and Practice of AVO Analysis, is an SEG bestseller.
Affiliations and Accreditation
PhD University of Texas, Austin - Exploration Geophysics
MSc Brooklyn College - High Temperature Geochemistry
BSc Brooklyn College - Geology
SEG (Society of Exploration Geophysicists)
N049: Seismic Attributes for Exploration and Reservoir Characterization