Complex fault system identification and reservoir characterization in KN area with multi-azimuth seismic data cubes
Bai Chenyang1, Zhang Baoqing2, Geng Wei2, Xiao Jing3
1. China University of Geosciences (Beijing), Beijing 100083, China;
2. GRI, BGP Inc., CNPC, Zhuozhou, Hebei, 072751, China;
3. China University of Petroleum (Beijing), Beijing 102249, China
Abstract：Located in Huanghua Depression, Bohai Bay Basin, northeast China, KN area is characterized by complex paleogene fault systems with different types of reservoirs. It is very difficult to accurately identify this kind of fault systems and depict reservoir boundaries and interior on conventional seismic data with conventional interpretation techniques. In order to solve these problems, high-density wide azimuth seismic data have been acquired in the area, and migration stack data and pre-stack migration gathers from different azimuths have been obtained after OVT domain processing. Based on these seismic data in OVT domain, complex fault systems are accurately identified and reservoir boundaries are accurately delineated using a series of techniques including fault system optimal identification with multi-azimuth seismic data joint interpretation, reservoir characterization with multi-azimuth seismic data joint interpretation, special lithologic body recognition with multi-azimuth seismic data joint interpretation, and azimuth AVO detection. Greatly improved drilling success rate based on the interpretation with these approaches suggests their feasibility and effectiveness.
Ling Yun,Gao Jun, Sun Desheng et al. Analysis and appreciation of wide/narrow azimuth exploration cases. OGP,2005,40(3):305-308.
[5]
Maria A Pérez, Richard L Gibson and M Nafi Toksz.Detection of fracture orientation using azimuthal variation of P-wave AVO responses. Geophysics,1999,64(4):1253-1265.
[6]
Leon T. Weak elastic anisotropy. Geophysics,1986,51(10):1954-1966.
