散射波波场在裂缝性储集层识别中的应用

doi:10.7657/XJPG20240115

摘要/Abstract

摘要：

裂缝性油气藏是目前油气增储上产的重要勘探开发目标，常规叠后地震数据预测裂缝效果差，无法满足裂缝性储集层识别的要求。为此，建立了一种基于扩散滤波的地震反射波波场和散射波波场相对分离方法，通过调节扩散系数和迭代次数，把叠后地震数据体分离为反射波波场和散射波波场数据体，并在散射波波场数据体上提取相干、曲率、蚂蚁体等地震属性，进行裂缝性储集层预测。在松辽盆地基岩风化壳裂缝性储集层和四川盆地茅口组裂缝性储集层进行裂缝预测，结果表明：该方法对裂缝性储集层的预测结果具有更高的分辨率；大庆探区基岩风化壳裂缝性储集层2口钻井验证该方法预测储集层符合率达到67%，应用效果好，可供同类油气藏的勘探开发和井位部署参考。

关键词: 散射波, 反射波, 波场, 裂缝性油气藏, 储集层, 地震属性

Abstract:

Fractured reservoirs are important exploration and development targets for increasing oil and gas reserves and production. The conventional post-stack seismic data can not meet the needs of fractured reservoir identification. This paper presents a method for the relative separation of reflected and scattered seismic wave fields based on diffusion filtering. This method predicts fractured reservoirs by adjusting diffusion coefficient and the number of iterations to separate the post-stack seismic data cube into 2 data cubes of reflection wave field and scattered wave field，and then extracting seismic attributes such as coherence，curvature，and ant tracking from the scattered wave field data cube. The method was applied to predict fractures in the weathered crust fractured bedrock reservoirs in the Songliao basin and the fractured reservoirs in the Maokou formation in the Sichuan basin. The results show that the method has higher resolution in predicting fractured reservoirs. The method was verified by the actual drilling data of two wells in the weathered-crust fractured reservoirs in the Daqing exploration area，showing a coincidence rate of 67%. This method can provide references for exploration，development，and well deployment in similar reservoirs.

Key words: scattered wave, reflected wave, wave field, fractured reservoir, reservoir, seismic attribute

中图分类号:

P631.445

陈可洋, 周辉, 杨微, 王成. 散射波波场在裂缝性储集层识别中的应用[J]. 新疆石油地质, 2024, 45(1): 109-117.

CHEN Keyang, ZHOU Hui, YANG Wei, WANG Cheng. Application of Scattered Wave Field in Identifying Fractured Reservoirs[J]. Xinjiang Petroleum Geology, 2024, 45(1): 109-117.

图/表 6

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