Exploring naturally fractured reservoirs: A case study
Author:
Affiliation:
1. Kuwait Oil Company
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Link
https://library.seg.org/doi/pdf/10.1190/image2023-3910482.1
Reference6 articles.
1. Boerner, S., D. Gray, D. Todorovic-Marinic, A. M. Zellou, and G. Schnerk 2003, Employing neural networks to integrate seismic and other data for the prediction of fracture intensity: Presented at the 2003 SPE Annual Technical Conference and Exhibition, SPE Paper 84453.
2. Inozemtsev, A., G. Dekel, Z. Koren, and A. Galkin, 2019, Applying full-azimuth depth processing in the local angle domain for frequency absorption versus Azimuth) (FAVAz) analysis to predict permeable, oil-saturated fractures: 81st Annual International Conference and Exhibition, EAGE, Extended Abstracts, vol. 2019, pp. 1–5.
3. MacBeth, C., X.Y. Li, F. Ohlsen, H. Jakubowicz, and W. Kirk, 1997, Fracture-related amplitude variations with offset and azimuth in marine seismic data: 61st Mtg. Eur. Assoc. Expl Geophys., Extended Abstracts, European Association of Geophysical Exploration, Session: B054; 1999, First Break, 17, 13–26.
4. Roberts, G., R. Wombell, D. Gray, A. Al-Shamsi, O. Suwaina, G. Ajlani, A. Ebed, and M. Al Kaabi, 2001, Fracture orientation estimation from azimuthal AVO, offshore Abu Dhabi: 71st Annual International Meeting, SEG, Expanded Abstracts, 308–311, doi: 10.1190/1.1816602.
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