Turbidite high-quality reservoir prediction in Dongying Depression
Wang Huiyong1,2, Chen Shiyue1, Zhang Yunyin2, Tan Mingyou2, Yu Jingqiang2
1. College of Geoscience and Technology, China University of Petroleum (East China), Qingdao, Shandong 266580, China;
2. Geophysical Research Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257022, China
Abstract：Turbidite reservoirs in Dongying Depression are characterized by deeply buried small bodies and thin limestone. To solve the problem, we propose an approach for high-quality reservoir prediction on seismic data. The approach includes three parts: 1Frequency broadening with wavelet decomposition for resolution and fidelity improvement; 2Turbidite zone macro prediction with high accuracy palaeo- geomorphology resume, seismic attributes and impedance inversion; 3Sandstone identification from mudstone and limestone with multi-parameter lithology inversion, high light body attribute, sweetness body attribute, and prestack attributes. Rather good results are obtained by the proposed approach in Bindong and Liangjialou areas, Dongying Depression.
