研究论文

云质岩类优质储层预测的频谱分解技术

  • 戚艳平;鲁阳;杨海波;吴涛;唐洁;桑蕴华;刘巍
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  • 1. 中国石油新疆油田公司勘探开发研究院,新疆克拉玛依 834000;2. 中国石油新疆油田公司采油一厂,新疆克拉玛依 834000;3. 中国石油西部钻探克拉玛依录井工程公司,新疆克拉玛依 834000

收稿日期: 2012-09-12

  修回日期: 2012-10-22

  网络出版日期: 2013-01-08

Application of Spectral Decomposition Technology in Predicting High Quality Dolomitic Rock Reservoir

  • QI Yanping;LU Yang;YANG Haibo;WU Tao;TANG Jie;SANG Yunhua;LIU Wei
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  • 1. Exploration & Development Research Institute, Xinjiang Oilfield Company, PetroChina, Karamay 834000, Xinjiang Uyghur Autonomous Region, China;2. Xinjiang Oilfield Company No.1 Oil Production Plant, Xinjiang Oilfield Company, PetroChina, Karamay 834000, Xinjiang Uyghur Autonomous Region, China;3. Karamay Mud Logging Company of Western Drilling Engineering Corporation, PetroChina, Karamay 834000, Xinjiang Uyghur Autonomous Region, China

Received date: 2012-09-12

  Revised date: 2012-10-22

  Online published: 2013-01-08

摘要

准噶尔盆地西北缘乌尔禾地区二叠系风城组主要发育云质岩和火山岩两类储集体,研究这两类储集体的分布范围对该区的石油勘探起着至关重要的作用.但云质岩和火山岩规模分布在地震剖面上表现为相似的强反射特征,仅靠振幅类属性难以区分云质岩类和火山岩类储层.本文利用频谱分析技术分析云质岩和火山岩这两类储层在频率响应上的不一致性,将两者的分布区域区分开,并结合该区探井的试油资料,总结出不同层段云质岩类储层产能的高低与其频谱特征的规律,从而提取属性对云质岩类优质储层分布范围进行预测,为该区二叠系风城组的勘探提供了有利的技术支持.利用频谱分解技术预测云质岩类优质储层的方法为其他区域云质岩类油气勘探提供了新思路.

本文引用格式

戚艳平;鲁阳;杨海波;吴涛;唐洁;桑蕴华;刘巍 . 云质岩类优质储层预测的频谱分解技术[J]. 科技导报, 2013 , 31(1) : 52 -56 . DOI: 10.3981/j.issn.1000-7857.2013.01.008

Abstract

In the northwest margin of Junggar Basin Wuerhe, two sets of reservoirs including the dolomitic rock and the volcanic rock are developed in Permian Fengcheng Formation. An analysis of the distribution range of the dolomitic rock reservoir is very important for the petroleum exploration in the study area. However, these two rocks have the same seismic reflection, so they cannot be distinguished only by using the amplitude data. In this paper, the spectral decomposition is used to analyze the difference between the dolomitic rock and the volcanic rock so as to distinguish their distribution range. Then according to the actual well test data, the relations between the deliverability of the reservoir and the spectral parameters are obtained. Based on the relations, the spectral property is extracted to predict the distribution range of the high quality dolomitic rock reservoir, to provide a technology support for the exploration of Permian Fengcheng Formation in this area. The method of using spectral decomposition to predict the high quality dolomitic rock reservoir can also be used for studying the dolomitic rock in other areas.
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