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鄂尔多斯盆地志丹、安塞地区长6 低阻油层成因机理及识别方法
引用本文:谢青,王建民.鄂尔多斯盆地志丹、安塞地区长6 低阻油层成因机理及识别方法[J].岩性油气藏,2013,25(3):106-111.
作者姓名:谢青  王建民
作者单位:1.西安石油大学地球科学与工程学院,陕西西安710065; 2.西北大学地质学系,陕西西安710069
基金项目:陕西省自然科学基础研究项目“陕北中生界延长组特低渗低阻油层识别与评价”(编号:2010JM5003)资助
摘    要:陕北中生界延长组地层中低阻油层较发育,其分布广泛,资源潜力巨大。由于其成因机理复杂,表现 形式多样,传统的方法难以识别,因此,结合油田生产实践,以录井、测井、实验分析及试油试采等资料为 依据,并以主力产油层组为研究对象,在综合地质研究的基础上,对志丹、安塞地区长6 低阻油层的成因 机理进行了研究,并探讨了对其进行识别评价的方法。研究结果表明:孔隙结构复杂、黏土附加导电能力 以及高地层水矿化度是研究区长6 低阻油层主要的成因机理;采用交会图法、测井曲线重叠法及邻近水 层对比法可以提高对低阻油层的识别准确度。

关 键 词:被动波场  共检波点道集  频率域能量异常  油气预测  

Genetic mechanism and identification methods of Chang 6 low resistivity reservoir in Zhidan and Ansai area,Ordos Basin
XIE Qing,WANG Jianmin.Genetic mechanism and identification methods of Chang 6 low resistivity reservoir in Zhidan and Ansai area,Ordos Basin[J].Northwest Oil & Gas Exploration,2013,25(3):106-111.
Authors:XIE Qing  WANG Jianmin
Affiliation:1. School of Earth Sciences and Engineering, Xi’an Shiyou University, Xi’an 710065, China; 2. Department of Geology,Northwest University, Xi’an 710069, China
Abstract:Low resistivity reservoirs developed well in Mesozoic Yanchang Formation in norhtern Shanxi, with wide distribution and tremendous resource potential. But because of its complex genetic mechanism and diversified forms, the traditional method is difficult to identify them. Combining with the actual oilfield production practice, according to logging, well logging, experimental analysis and production test, with the main producing oil group as the research object, based on the comprehensive geological research, this paper studied the genetic mechanism of Chang 6 low resistivity reservoir in Zhidan and Ansai area, and discussed its identification methods. The results show that complex pore structure, clay with conductive ability and high water salinity are the main causes for Chang 6 low resistivity reservoir, and the methods of crossplot, logging curve overlapping and adjacent water layer can be used to improve the recognition accuracy of the low resistivity reservoir in the study area.
Keywords:passive wave field  common receiver gathers  energy anomalies in frequency domain  oil and gas prediction  
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