Prestack and poststack seismic amplitude interpretation to support unveiling oil potential of a highly stratigraphic reservoir
Author:
Affiliation:
1. SLB-Shaya
2. EP Petroecuador
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2023-3916941.1
Reference6 articles.
1. Carrillat, A., T. Randen, L. Sonneland, and G. Elvebakk, 2002, Automated mapping of carbonate mounds using 3D seismic texture attributes: 72nd Annual International Meeting, SEG, Expanded Abstracts, 552–555, doi: 10.1190/1.1817308.
2. Unsupervised seismic facies classification: A review and comparison of techniques and implementation
3. Quantitative prediction of fluvial sandbodies by combining seismic attributes of neighboring zones
4. Mata-Garcia, S., J. Carrasco, and J. Ortiz, 2019, Seismic characterization using artificial intelligence algorithms for rock property distribution in static modeling: SPE Reservoir Characterization and Simulation Conference and Exhibition, SPE-196647-MS.
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