CSEG16SC Seismic Attributes for Prospect Identification and Reservoir Characterization
A seismic attribute is any measure of seismic data that helps us better visualize or quantify features of interpretation interest. Seismic attributes fall into two broad categories – those that help us quantify the morphological component of seismic data and those that help us quantify the reflectivity component of seismic data. The morphological attributes help us extract information on reflector dip, azimuth, and terminations, which can in turn be related to faults, channels, fractures, diapirs, and carbonate buildups. The reflectivity attributes help us extract information on reflector amplitude, waveform, and variation with illumination angle, which can in turn be related to lithology, reservoir thickness, and the presence of hydrocarbons.
In the reconnaissance mode, 3D seismic attributes help us to rapidly identify structural features and depositional environments. In the reservoir characterization mode, 3D seismic attributes are calibrated against real and simulated well data to identify hydrocarbon accumulations and reservoir compartmentalization.
The primary objective of this course is to gain an intuitive understanding of the kinds of seismic features that can be identified by 3D seismic attributes, the sensitivity of seismic attributes to seismic acquisition and processing, and of how ‘independent’ seismic attributes can are coupled through geology. We will also discuss alternative workflows using seismic attributes for reservoir characterization as implemented by modern commercial software and practiced by interpretation service companies. Participants are invited to bring case studies from their workplace that demonstrates either the success or failure of seismic attributes to stimulate class discussion.
Who should attend:
- Seismic interpreters who wish to extract meaningful information from their data
- Seismic processors who want to find out different ways to characterize subsurface formations
- Stratigraphers and structure geologists who use 3D seismic volumes to prepare detailed reservoir models
- Reservoir engineers who want to understand about the seismic input to add detail to 3D reservoir models
- Students of geophysics who wish to become qualified interpreter
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Satinder Chopra received M.Sc. and M.Phil. degrees in physics from Himachal Pradesh University, Shimla, India. He joined the Oil and Natural Gas Corporation Limited (ONGC) of India in 1984 and served there till 1997. In 1998 he joined CTC Pulsonic at Calgary, which later became Scott Pickford and Core Laboratories Reservoir Technologies. Currently, he is working as Manager, Reservoir Services at Arcis Corporation, Calgary.
In the last 25 years Satinder has worked in regular seismic processing, and interactive interpretation, but has spent more time in special processing of seismic data involving seismic attributes including coherence and textures, seismic inversion, AVO, VSP processing and frequency enhancement of seismic data. His research interests focus on techniques that are aimed at characterization of reservoirs. He has published 5 books and more than 175 papers and abstracts and likes to make presentations at any beckoning opportunity. He is the Chief Editor of the CSEG RECORDER, past - member of the SEG ‘The Leading Edge’ Editorial Board, and the Ex-Chairman of the SEG Publications Committee. He received the AAPG Award of Excellence ‘Top Ten’ Poster presentation for his poster presented at the 2009 AAPG Annual Meeting at Denver. Of the 3 presentations (1 oral, 2 posters) that he made at the 2008 SEG Convention at Las Vegas, Nevada, all three were ranked among the top 30 presented at the SEG Meeting. He received several awards at ONGC, and more recently has received the ‘Best Poster’ Award for his paper entitled ‘Seismic attributes for fault/fracture characterization’, presented at the 2007 SEG Convention held at San Antonio. He received the ‘Best Paper’ Award for his paper entitled ‘Curvature and Iconic Coherence - Attributes adding value to 3D Seismic Data Interpretation’ presented at the CSEG Technical Luncheon, Calgary, in January 2007 as well as the 2005 CSEG Meritorious Services Award. He and his colleagues have received the CSEG Best Poster Awards in successive years from 2002 to 2005. He is a member of SEG, CSEG, CSPG, CHOA, EAGE, AAPG, APEGGA (Association of Professional Engineers, Geologists and Geophysicists of Alberta) and TBPG (Texas Board of Professional Geoscientists).
