基于XGBoost算法的地震多数据体识别含油河道砂体

doi:10.7657/XJPG20200414

新疆石油地质 ›› 2020, Vol. 41 ›› Issue (4): 477-482.doi: 10.7657/XJPG20200414

基于XGBoost算法的地震多数据体识别含油河道砂体

张艺山¹(), 徐怀宝^2a, 齐洪岩^2a, 谢天寿^2a, 杨远峰^2b, 杨邦伟^2b

1.北京大学地球与空间科学学院,北京 100871;
2.中国石油新疆油田分公司 a.勘探开发研究院;b.百口泉采油厂,新疆克拉玛依 834000

收稿日期:2020-04-29 修回日期:2020-05-06 出版日期:2020-08-01 发布日期:2020-08-05
作者简介:张艺山（1992-）,男,山东青岛人,博士研究生,应用数学,（Tel）17301120037（E-mail）ys_zhang@pku.edu.cn
基金资助:
国家科技重大专项(2017ZX05001-004);中国石油科技重大专项(2017E-0401)

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

ZHANG Yishan¹(), XU Huaibao^2a, QI Hongyan^2a, XIE Tianshou^2a, YANG Yuanfeng^2b, YANG Bangwei^2b

1. School of Earth and Space Sciences, Peking University, Beijing 100871, China;
2. PetroChina Xinjiang Oilfield Company, a.Research Institute of Exploration and Development; b.Baikouquan Oil Production Plant, Karamay, Xinjiang 834000, China

Received:2020-04-29 Revised:2020-05-06 Online:2020-08-01 Published:2020-08-05

摘要/Abstract

摘要：

准噶尔盆地东部侏罗系多发育陆相河道砂体,砂体厚度小且横向连续性差,具有“一砂一藏”的特征,油水关系复杂,油气预测难度大,单一的地球物理信息难以准确确定河道砂体的分布特征和孔隙流体性质。为此,提出采用XGBoost算法从叠后地震剖面、叠后纵波阻抗和叠前纵横波速度比3种地震数据体中提取含油河道砂体的特征,以有效描述这类河道砂体含油性的空间展布特征,降低了利用常规单一地震属性对含不同流体砂岩储集层预测的多解性。通过模型测试证明了该方法在识别陆相河道砂体的含油气性方面的可行性,并在实际应用中取得了较好的效果。

关键词: 准噶尔盆地, 头屯河组, 河道砂体, XGBoost算法, 叠后纵波阻抗, 叠前纵横波速度比, 含油砂体预测, 模型测试

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

中图分类号:

P618.13

张艺山, 徐怀宝, 齐洪岩, 谢天寿, 杨远峰, 杨邦伟. 基于XGBoost算法的地震多数据体识别含油河道砂体[J]. 新疆石油地质, 2020, 41(4): 477-482.

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.

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基于XGBoost算法的地震多数据体识别含油河道砂体

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

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