油气勘探

致密油储集层岩性岩相测井识别方法——以鄂尔多斯盆地合水地区三叠系延长组7段为例

  • 周正龙 ,
  • 王贵文 ,
  • 冉冶 ,
  • 赖锦 ,
  • 崔玉峰 ,
  • 赵显令
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  • 1. 中国石油大学地球科学学院;
    2. 中国石油大学油气资源与探测国家重点实验室
周正龙(1991-),男,河北唐山人,中国石油大学(北京)在读硕士研究生,从事沉积学、储集层地质学与测井地质学研究。地址:北京市昌平区府学路18号,中国石油大学地球科学学院地质楼906,邮政编码:102249。E-mail:zhouzhenglong7090@163.com

网络出版日期: 2017-01-01

基金资助

国家科技重大专项(2016ZX05019005-006); 国家自然科学基金(41472115)

A logging identification method of tight oil reservoir lithology and lithofacies: A case from Chang7 Member of Triassic Yanchang Formation in Heshui area, Ordos Basin, NW China

  • ZHOU Zhenglong ,
  • WANG Guiwen ,
  • RAN Ye ,
  • LAI Jin ,
  • CUI Yufeng ,
  • ZHAO Xianling
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  • 1. College of Geosciences, China University of Petroleum, Beijing 102249, China;
    2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China

Online published: 2017-01-01

摘要

基于岩心的观察结果,综合利用构造分析、沉积微相分析和岩性分析等多种分析化验和测井资料,对鄂尔多斯盆地合水地区三叠系延长组7段致密油储集层岩性岩相特征进行精细描述和归纳总结,建立岩性岩相类型的测井识别标准。研究区长7段致密油储集层可划分为砂质碎屑流细砂岩相、浊积粉细砂岩相、滑塌细砂岩相、半深湖—深湖泥岩相和油页岩相5种岩性岩相类型。利用电测井和成像测井等多种手段和方法对长7段致密油储集层的岩性岩相进行测井定性和定量表征,通过分析成像测井和常规测井资料,归纳总结不同岩性岩相的测井响应特征,结合砂体结构表征参数对其进行定量表征,建立各岩性岩相的测井识别标准。对各井实际测井资料进行处理,实现了单井纵向和平面岩性岩相的识别与划分,岩性岩相识别结果与试油结论和物性分析匹配良好。深入分析岩性岩相是进行致密油储集层综合评价和“甜点”预测的重要方法。图7表2参15

本文引用格式

周正龙 , 王贵文 , 冉冶 , 赖锦 , 崔玉峰 , 赵显令 . 致密油储集层岩性岩相测井识别方法——以鄂尔多斯盆地合水地区三叠系延长组7段为例[J]. 石油勘探与开发, 2016 , 43(1) : 61 -68 . DOI: 10.11698/PED.2016.01.07

Abstract

Based on the observation results of cores, structural analysis, sedimentary microfacies analysis, lithologic analysis and other analytical tests and logging data, the characteristics of lithology and lithofacies of the Member Chang7 tight oil reservoir of the Triassic Yanchang Formation in Heshui area are described and summarized and the criteria for identification of lithology and lithofacies by logging are established. The lithofacies in the Chang7 tight oil reservoir were classified into five types: fine sandstone deposited by sandy debris flow, turbidite fine siltstone, fine sandstone deposited by slump, semi-deep to deep lacustrine mudstone, and oil shale. The lithology and lithofacies in the Chang7 tight oil reservoir were characterized, both qualitatively and quantitatively, with electric logging and imaging logging and several means and methods, the response characteristics of different lithology and lithofacies were summarized through analyzing the image log and conventional log data, and the parameters characterizing sandstone’s structures were used to quantitatively characterize the lithology and lithofacies, the criteria for identification of different lithology and lithofacies by logging were established. The vertical and horizontal identification and classification of lithology and lithofacies in a single well was then accomplished by processing the log data from each well, the results of lithology and lithofacies identification tally well with the results of formation testing. In-depth lithology and lithofacies analysis proves to be an important method of tight oil reservoir evaluation and “sweet spot” prediction.

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