识别岩性油藏薄储集层的谱分解技术

田仁飞，杨春峰，胡宇，杨振峰，李秋菊

doi:10.11764/j.issn.1672-1926.2015.02.0360

天然气地球科学 >

2015 , Vol. 26 >Issue 2: 360 - 366

DOI: https://doi.org/10.11764/j.issn.1672-1926.2015.02.0360

天然气勘探

识别岩性油藏薄储集层的谱分解技术

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1.中国石化河南油田分公司博士后工作站，河南郑州450016；2.成都理工大学地球探测与信息技术教育部重点实验室，四川成都610059；
3.中国石化河南油田石油物探技术研究院，河南郑州 450016

田仁飞(1983-)，男,贵州沿河人,助理研究员，在站博士后，主要从事石油地球物理勘探研究.E-mail：tianrenfei08@cdut.cn.

收稿日期: 2014-03-04

修回日期: 2014-07-15

网络出版日期: 2015-02-10

基金资助

国家自然科学基金项目(编号：41304080；41274128)|地球探测与信息技术教育部重点实验室开放基金联合资助.

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Thin Lithologic Reservoir Identification with Spectral Decomposition Techniques

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1.Postdoctoral Workstation of Sinopec Henan Oilfield Company,Zhengzhou 450016,China； 2.Key Lab of Earth Exploration & Information Techniques of Ministry of Education,Chengdu 610059,China； 3.Geophysical Prospecting Institute of Henan Oilfield Company,SINOPEC，Zhengzhou 450016,China

Received date: 2014-03-04

Revised date: 2014-07-15

Online published: 2015-02-10

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摘要

准噶尔盆地车排子地区超覆在石炭系之上的古近系，聚集丰富的岩性油藏资源，由于受石炭系强振幅的影响和地震资料分辨率的制约，常规的地震属性无法有效刻画储层的纵横向分布。针对此问题，利用改进的广义S变换的谱分解技术对地震资料进行时频分析，结合已有钻井、测井资料精细标定层位、录井显示和测井解释等综合分析，优选出70Hz的分频剖面识别该地区的岩性油藏薄储集层。储层预测结果与现有钻井资料都非常吻合。据此研究成果又部署了一口评价井，并获得了工业油流，进一步表明谱分解技术适合该地区古近系的油气储层预测，也可为其他地区类似的岩性油藏储层预测提供思路。

关键词： 岩性油藏; 薄储层识别; 谱分解技术; 广义S变换; 准噶尔盆地

本文引用格式

田仁飞，杨春峰，胡宇，杨振峰，李秋菊 . 识别岩性油藏薄储集层的谱分解技术[J]. 天然气地球科学, 2015 , 26(2) : 360 -366 . DOI: 10.11764/j.issn.1672-1926.2015.02.0360

Abstract

Lithologic reservoir resources are rich in Carboniferous near the top of the Paleogene Chepaizi area,Junggar Basin.But due to the impact of strong amplitude in Carboniferous and limited resolution of seismic data,the conventional seismic attributes cannot effectively portray the vertical and horizontal distribution of the reservoirs.For this issue,spectral decomposition techniques are used to identify thin lithologic reservoirs in the study area.Improved general S transform spectral decomposition techniques are used to perform frequency division of seismic data.Combined with results of a comprehensive analysis,such as the fine horizon calibration of existing drilling data,logging presentation and log interpretation,the 70Hz frequency division section is preferred for reservoir prediction.Results of reservoir prediction are consistent very well with the existing drilling data.They are used to deploy the evaluation well C55-1,which has obtained industrial oil.This further shows that spectral decomposition techniques are effective reservoir exploration techniques in the region with Paleogene Formations and can also be used for thin lithologic reservoirs in other areas.

Key words：

Lithologic reservoir; Thin reservoir identification; Spectral decomposition; Generalized S transform; Junggar Basin

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