基于多信息的鄂尔多斯盆地A区天然裂缝综合判识研究  

On Synthetically Identifying Nature Fractures of A Block in Ordos Basin Based on Multi-data

作　　者：赵军龙[1] 朱广社[2] 马永宁[2] 吴新伟[2] 陈守民[2] 李甘[1] 

机构地区：[1]西安石油大学油气资源学院,陕西西安710065 [2]长庆油田分公司第三采油厂,宁夏银川750006

出　　处：《测井技术》2011年第6期544-549,共6页Well Logging Technology

基　　金：陕西省教育厅科研计划项目资助(项目编号:11JK0781)

摘　　要：研究从鄂尔多斯盆地A区天然裂缝判识需要出发,基于收集到的岩心、测井、地质等多种资料信息,开展了天然裂缝判识技术研究和优选。运用静态、动态资料揭示了工区天然裂缝的分布规律和影响因素。天然裂缝识别的主要方法包括岩心裂缝识别法、成像测井识别法、储层渗透率非均质分析法、常规测井参数法、常规测井曲线重构法、动态资料分析法及现代数学等方法。A区天然裂缝平面上主要位于河道微相中靠近边部区域、砂体厚度较小的区域、储层微构造起伏较大区域。动态资料验证表明,针对A区所建立的天然裂缝判识技术合理,对天然裂缝的平面和纵向分布规律预测取得了较好的效果,其研究成果为下一步的裂缝开发治理政策研究提供了坚实的资料基础。For need of finely identifying nature fractures of block A in Ordos basin, the optimal evaluation techniques have been developed on the basis of collected multi-data such as cores and logs. And the distribution law and effect factors about nature fractures in block A have been studied with static and dynamic data. The research indicates that the methods to identify nature fractures mainly include core fracture identification, imaging logging identification, nonhomogeneity analysis of reservoir permeability, conventional logging parameters, reconfiguration of conventional logging curves, dynamic document analysis and modern mathematics. Moreover, the nature fractures in block A are in the board of river course and the minimal sand thickness zones and the maximal tectonics fluctuating zones. The above techniques are reasonabl and reliabl to identify the fractures. And the effect of pre-determination about the fracture planes and vertical distribution is ideal. Our research provides important data for further fractures identifications.

关 键 词：测井解释 天然裂缝 综合判识 分布规律 动态识别 鄂尔多斯盆地 

分 类 号：P631.81[天文地球—地质矿产勘探]