Using Multiple Seismic Data Volume to Identify Oil-Bearing Channel Sandbodies Based on XGBoost Algorithm

doi:10.7657/XJPG20200414

Abstract

Abstract:

Continental channel sandbodies are usually developed in the Jurassic strata of the eastern Junggar basin, which are characterized by poor lateral continuity, thin thickness and one reservoir in one sandbody, leading to difficulties in hydrocarbon prediction. It is hard to accurately determine the channel sandbody distribution and pore fluid properties by using single geophysical information. Therefore, XGBoost algorithm is presented, by which the characteristics about the oil-bearing channel sandbody can be identified from several seismic data volume such as post-stack seismic section, post-stack P-wave impedance and pre-stack wave velocity ratio, and the distribution of the kind of oil-bearing channel sandbodies can be effectively described and multi-solution of the prediction of sandstone reservoirs containing multiple fluids by using conventional profiles of a single seismic attribute can be solved. The test of the model proves the feasibility of using the method to identify the oil-bearing properties of continental channel sandbodies and good effects have been gained in field application.

Key words: Junggar basin, Toutunhe formation, channel sandbody, XGBoost algorithm, post-stack P-wave impedance, pre-stack wave velocity ratio, oil-bearing sandbody prediction, model test

CLC Number:

P618.13

ZHANG Yishan, XU Huaibao, QI Hongyan, XIE Tianshou, YANG Yuanfeng, YANG Bangwei. Using Multiple Seismic Data Volume to Identify Oil-Bearing Channel Sandbodies Based on XGBoost Algorithm[J]. Xinjiang Petroleum Geology, 2020, 41(4): 477-482.

Figures/Tables 6

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