Thin Lithologic Reservoir Identification with Spectral Decomposition Techniques

TIAN Ren-fei，YANG Chun-feng，HU Yu，YANG Zhen-feng，LI Qiu-ju

doi:10.11764/j.issn.1672-1926.2015.02.0360

Natural Gas Geoscience >

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

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

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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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

Cite this article

TIAN Ren-fei，YANG Chun-feng，HU Yu，YANG Zhen-feng，LI Qiu-ju . Thin Lithologic Reservoir Identification with Spectral Decomposition Techniques[J]. Natural Gas Geoscience, 2015 , 26(2) : 360 -366 . DOI: 10.11764/j.issn.1672-1926.2015.02.0360

References

［1］Yang Yong,Chen Shiyue,Wang Guiping,et al.The Chepaizi area of Junggar Basin Paleogene sedimentary facies study[J].Petroleum Geology and Recovery Efficiency,2011,18(3):5-9.［杨勇,陈世悦,王桂萍,等.准噶尔盆地车排子地区古近系沉积相研究[J].油气地质与采收率,2011,18(3):5-9.］
［2］Yang Yong,Chen Shiyue,Wang Guiping,et al.The Chepaizi area of Junggar Basin in the Paleogene sequence stratigraphy and lithologic trap prediction[J].Science & Technology,2011,29(11):27-32.［杨勇,陈世悦,王桂萍,等.准噶尔盆地车排子地区古近系层序地层与岩性圈闭预测[J].科技导报,2011,29(11):27-32.］
［3］Liu Chuanhu,Wang Xuezhong.Stratigraphic sequence structure and favorable reservoir facies in Chepaizi area of The Junggar Basin[J].Xinjiang Petroleum Geology,2013,33(1):1-5.［刘传虎,王学忠.准噶尔盆地车排子地区层序地层结构及有利储集相带[J].新疆石油地质,2013,33(1):1-5.］
［4］Cai Kun.Lithologic Trap Study of Paleogene Formation in Chungguang Block,Junggar Basin［D］.Chengdu:Master′s thesis of Chengdu University of Technology Energy Institute,2012.［蔡坤.准噶尔盆地春光区块古近系Es₁砂组岩性圈闭研究［D］.成都：成都理工大学能源学院,2012.］
［5］Liu Lanfeng,Liu Quanxin,Yong Xueshan,et al.Hydrocarbon detection using instaneous energy spectrum of low frequency based on generalized S transform spectrum technology of oil and gas[J].Natural Gas Geoscience,2005,16(2):238-241.［刘兰锋,刘全新,雍学善,等.基于广义 S 变换的低频瞬时能量谱油气检测技术[J].天然气地球科学,2005,16(2):238-241.］
［6］Marfurt K J,Kirlin R L.Narrow-band spectral analysis and thin-bed tuning[J].Geophysics,2001,66(4):1274-1283.
［7］Li Zishun,Guo Xuebin.Predicting the distribution of thin bed reservoirs by broad frequency band seismic[J].Applied Geophysics,2007,4(2):118-126.
［8］Liu Zhiwei,Wang Yanchun,Zhao Huixin,et al.High resolution processing methods of thin interbeds imaging[J].Chinese Journal of Geophysics,2013,56(4):1350-1359.［刘志伟,王彦春,赵会欣,等.薄互层地震成像中高分辨率处理方法[J].地球物理学报,2013，56(4):1350-1359.］
［9］Li Jinsong,Li Yandong,Zhang Xin,et al.Application of seismic spectral decomposition technique in lithologic reservoir description[J].Journal of Petroleum and Natural Gas,2008,30(2):239-241.［李劲松,李艳东,张昕,等.地震谱分解技术在岩性油气藏描述中的应用[J].石油天然气学报,2008,30(2):239-241.］
［10］Mu Yuqing.Application of seismic description technique for Lithologic reservoir in Chunguang Oilfield,Junggar Basin[J].Marine Oil and Gas Geology,2010,15(4):68-73.［穆玉庆.岩性油藏地震描述技术在准噶尔盆地春光油田的应用[J].海相油气地质,2010,15(4):68-73.］
［11］Wang Changjiang,Yang Peijie,Luo Hongmei,et al.Time-variable frequency division based on generalized S transform[J].Geophysical Prospecting for Petroleum,2013,52(5):489-494.［王长江,杨培杰,罗红梅,等.基于广义S变换的时变分频技术[J].石油物探,2013,52(5):489-494.］
［12］Diao Rui,Feng Yuping.Hydrocarbon recognition based on spectrum absorption characteristics[J].Oil Geophysical Prospecting,2012,47(5):766-772.［刁瑞,冯玉苹.利用储层的频谱吸收特性识别油气藏[J].石油地球物理勘探,2012,47(5):766-772.］
［13］Stockwell R G,Mansinha L,Lowe R P.Localization of the complex spectrum:The S transform[J].IEEE Transactions on Signal Processing,1996,44(4):998-1001.
［14］Gao Jinghuai,Chen Wenchao,Li Youming,et al.Generalized S transform and seismic response analysis of thin interbeds[J].Chinese Journal of Geophysics,2003,46(4):526-532.［高静怀,陈文超,李幼铭,等.广义S变换与薄互层地震响应分析[J].地球物理学报,2003,46(4):526-532.］
［15］Zhang Gulan,He Zhenhua,Zhang Yanbin,et al.Detection of low- frequency shadow based on improved generalized S transform[J].Progress in Geophys,2010,25(6):2040-2044.［张固澜,贺振华,张彦斌,等.基于改进的广义S变换的低频阴影检测[J].地球物理学进展,2010,25(6):2040-2044.］
［16］Qi Chunyan,Li Yanpeng,Peng Jixin,et al.An improved generalized S transform[J].Oil Geophysical Prospecting,2010,45(2):215-218.［齐春艳,李彦鹏,彭继新,等.一种改进的广义S变换[J].石油地球物理勘探,2010,45(2):215-218.］

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