Seismic exploration technology for prediction of ultra-thin algal limestone in Fengxi area
WANG Haifeng1, LI Wanzhong1, ZHU Bo1, LI Xiang1, XIONG Yegang1, HE Xiang2
1. Research Institute of Exploration and Development, Qinghai Oilfield Company, PetroChina, Dunhuang, Gansu 736202, China; 2. No.2 Oil Production Plant of Qinghai Oilfield Company, PetroChina, Dunhuang, Gansu 736202, China
Abstract：Considering the exploration demand of ultra-thin algal limestone oil & gas reservoirs in the Fengxi area of northwestern Qaidam Basin, and guided by geologi-cal tasks, researches on the application of the integrated technology of acquisition, processing, and interpretation was carried out. Regarding the acquisition, the acquisition technology combining the “high-precision vibroseis array” and “single highly-sensitive geophone” is adopted to obtain broadband and high signal-to-noise ratio (SNR) seismic data. In terms of processing, the grid tomography inversion for velocity modeling and TTI pre-stack depth migration technology are used to improve the imaging accuracy of geological bodies and the probabi-lity of penetration of horizontal well reservoirs. In terms of interpretation, the seismic frequency-division attribute is selected for thin-layer algal limestone prediction, and the response mode and plane distribution law of the seismic attributes of carbo-nate algal limestone are qualitatively recognized in combination with the drilled wells. The research results show that the sedimentary thickness of algal limestone is controlled by the micro geomorphic feature to a certain extent. The distribution of dominant reservoirs can be predicted by the residual thickness method to restore the ancient landform before micro-layer sedimentation. The seismic inversion technology of BP neural networks can be used to accurately depict the algal limestone deve-lopment area. The coincidence rate between the prediction of dominant reservoirs by various seismic exploration technology and the actual drilling results reaches 80%.
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