3D Seismic Attributes for Prospect Identification and Reservoir Characterization
|Dr Kurt Marfurt (University of Oklahoma, United States)|
|Geophysics – Reservoir Characterization|
|10 CPD points|
AMPLITUDE CARBONATES DECOMPOSITION DEFORMATION INTERPRETATION MAPPING PERMEABILITY SEDIMENT
Seismic data are incredibly rich in information, including amplitude, frequency and the configuration or morphology of reflection events. Seismic attributes, including volumetric estimates of coherence, dip/azimuth, curvature, amplitude texture and spectral decomposition, can greatly accelerate the interpretation of newly acquired 3D surveys as well as provide new insight into old 3D surveys. Successful use of seismic attributes requires both an understanding of seismic data quality and of sedimentary and tectonic processes. Participants in this two-day course will gain an understanding of the physical basis, geologic expression and petrophysical calibration of seismic attributes.
This course will address the following questions:
- How can we use attributes to accelerate the interpretation of very large data volumes?
- What is the impact of seismic acquisition and processing on attribute images? Can we use attributes to help choose processing parameters?
- What is the physical basis for modern volumetric attributes, including coherence, dip/azimuth, curvature, amplitude gradients, textures, and spectral decomposition?
- How do we display these attributes to provide the most information and to communicate important concepts to nontechnical members of our team?
- What is the attribute expression of clastic versus carbonate depositional environments? of extensional versus compressional deformation?
- How can we use geometric attributes and spectral decomposition to more accurately define the reservoir model?
Participants will be able to take home and use the answers and methods discussed in this course.
- Seismic interpreters who wish to extract more information from their data.
- Seismic processors and imagers who wish 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.
- Advanced knowledge of seismic theory is not required; this course focuses on understanding and practice.
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 as well as attribute-assisted processing. 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 4 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 Applied Geophysics Lab. He has received best paper (for coherence) best presentation (for seismic modeling) and as a co-author best poster (for curvature) awards from the SEG, as co-author best technical presentation for the AAPG, and 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.
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