基于测井资料三维地质建模的火山岩气藏有利区预测
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摘要
针对长岭1号气田营城组孔隙型和孔隙—裂缝型火山岩气藏,从火山岩岩性分析入手,通过多种方法在对岩性识别的基础上,综合运用测井、地震和随机建模技术,建立了火山岩岩性分布模型,并进一步建立了物性参数三维地质模型,以精细刻画火山岩储层的储集性和含气性。利用成像测井、常规测井和地震分析方法,对裂缝的分布特征进行了分析,为分析火山岩储层的高渗带奠定了基础。在综合构造、岩性、孔隙性、含气性和裂缝性等多种因素影响的情况下,指出了气藏有利分布区块,为气藏的下一步开发指明了方向。
The volcanic reservoir in Yingcheng Formation for Changling-1 gas pool is characterized as pore or pore-fracture types.We used many research ways to identity volcanic lithology,and setup model of volcanic lithology distribution by means of integrating well-logging,3D seismic and stochastic modeling.The 3D geological model of physical property built was used to describe the porosity and show gas in volcanic reservoir.The fractures distribution was determined by FMI well-logging,general well-logging and seismic integration,which contributed to predict the high permeability area in volcanic reservoir.The profitable areas for gas pool were predicted by means of tectonic,lithology,pore,show gas,fissure,etc.which would give a proposal for future exploration of natural gas.
The volcanic reservoir in Yingcheng Formation for Changling-1 gas pool is characterized as pore or pore-fracture types.We used many research ways to identity volcanic lithology,and setup model of volcanic lithology distribution by means of integrating well-logging,3D seismic and stochastic modeling.The 3D geological model of physical property built was used to describe the porosity and show gas in volcanic reservoir.The fractures distribution was determined by FMI well-logging,general well-logging and seismic integration,which contributed to predict the high permeability area in volcanic reservoir.The profitable areas for gas pool were predicted by means of tectonic,lithology,pore,show gas,fissure,etc.which would give a proposal for future exploration of natural gas.
引文
①张梅华,郭海华.长岭1号气田裂缝分布规律研究.内部报告,2008.
[1]Sun Yuanhui,Shen Pingping,Ruan Baotao,et al.Lithologicand storage-permeation characteristics of Changshen 1 volcan-ic gas reservoirs in Jilin[J].Natural Gas Geoscience,2008,19(5):630-633.[孙圆辉,沈平平,阮宝涛,等.松辽盆地长岭断陷长深1号气田火山岩岩性及储渗特征研究[J].天然气地球科学,2008,19(5):630-633.]
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[4]Qiu Liangui.Analysis of major control factors of YingchengFormation volcanic reservoir in Yaoyingtai area of Changlingdepression[J].Journal of Oil and Gas Technology,2009,31(3):179-184.[邱连贵.长岭断陷腰英台地区营城组火山岩成藏主控因素分析[J].石油天然气学报,2009,31(3):179-184.]
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[7]Chen Liying,Wu Haibo,Xing Libo.Complex igneous rock li-thologic logging recognition and numerical process of loggingdata[J].Journal of Jianghan Petroleum Institute,2005,27(6):877-879.[陈立英,吴海波,邢丽波.火成岩复杂岩性测井识别及测井资料数字处理[J].石油天然气学报,2005,27(6):877-879.]
[8]Zhou Bo,Li Zhoubo,Pan Baozhi.A study on lithology identi-fication methods for volcanic rocks[J].Journal of Jilin Uni-versity:Earth Science Edition,2005,35(3):394-397.[周波,李舟波,潘保芝.火山岩岩性识别方法研究[J].吉林大学学报:地球科学版,2005,35(3):394-397.]
[9]Wang Yongjun,Zhou Xuefeng,Wu Haizhong,et al.A new tech-nique of lithologic identification for volcanics[J].Fault-Block Oil&Gas Field,2006,13(3):86-88.[王拥军,周雪峰,吴海忠,等.火山岩岩性识别新技术[J].断块油气田,2006,13(3):86-88.]
[10]Lian Chengbo,Li Hanlin,Qu Fang,et al.Prediction of porosi-ty based on BP artificial neural network with well logging da-ta[J].Natural Gas Geoscience,2006,17(3):382-384.[连承波,李汉林,渠芳,等.基于测井资料的BP神经网络模型在孔隙度定量预测中的应用[J].天然气地球科学,2006,17(3):382-384.]
[11]Chen Zhongqiang.Model for saturation simulation in volcanicreservoirs and its application[J].Journal of Jianghan Petrole-um Institute,2006,28(3):79-81.[陈忠强.火山岩储层的饱和度模型研究及应用[J].江汉石油学院学报,2006,28(3):79-81.]
[1]Sun Yuanhui,Shen Pingping,Ruan Baotao,et al.Lithologicand storage-permeation characteristics of Changshen 1 volcan-ic gas reservoirs in Jilin[J].Natural Gas Geoscience,2008,19(5):630-633.[孙圆辉,沈平平,阮宝涛,等.松辽盆地长岭断陷长深1号气田火山岩岩性及储渗特征研究[J].天然气地球科学,2008,19(5):630-633.]
[2]Sun Yuanhui,Song Xinmin,Ran Qiquan,et al.Lithologic andlithofacies characteristics of volcanic rock and their control o-ver reservoirs,Changling gasfield[J].Petroleum Explorationand Development,2009,36(1):68-73.[孙圆辉,宋新民,冉启全,等.长岭气田火山岩岩性和岩相特征及其对储集层的控制[J].石油勘探与开发,2009,36(1):68-73.]
[3]Yi Wanshun,Jia Chunming.Reservoir characteristic descrip-tion and the main control factors analysis of Carboniferousvolcanic reservoir in Chepaizi prominence,Junggar basin[J].Xinjiang Geology,2009,27(1):49-52.[伊万顺,贾春明.准噶尔盆地车排子凸起石炭系火山岩储层特征及主控因素[J].新疆地质,2009,27(1):49-52.]
[4]Qiu Liangui.Analysis of major control factors of YingchengFormation volcanic reservoir in Yaoyingtai area of Changlingdepression[J].Journal of Oil and Gas Technology,2009,31(3):179-184.[邱连贵.长岭断陷腰英台地区营城组火山岩成藏主控因素分析[J].石油天然气学报,2009,31(3):179-184.]
[5]Yuan Yunfeng,Qin Qirong,Xiao Fengxue,et al.The develo-ping state of volcanical lithology recognizing techniques[J].Inner Mongolia Petrochemical Industry,2007,(5):270-272.[袁云峰,秦启荣,肖凤学,等.火山岩岩性识别技术发展现状研究[J].内蒙古石油化工,2007,(5):270-272.]
[6]Zhao Jian,Gao Fuhong.Application of crossplots based on well logdata in identifying volcanic lithology[J].World Geology,2003,22(2):136-140.[赵建,高福红.测井资料交会图法在火山岩岩性识别中的应用[J].世界地质,2003,22(2):136-140.]
[7]Chen Liying,Wu Haibo,Xing Libo.Complex igneous rock li-thologic logging recognition and numerical process of loggingdata[J].Journal of Jianghan Petroleum Institute,2005,27(6):877-879.[陈立英,吴海波,邢丽波.火成岩复杂岩性测井识别及测井资料数字处理[J].石油天然气学报,2005,27(6):877-879.]
[8]Zhou Bo,Li Zhoubo,Pan Baozhi.A study on lithology identi-fication methods for volcanic rocks[J].Journal of Jilin Uni-versity:Earth Science Edition,2005,35(3):394-397.[周波,李舟波,潘保芝.火山岩岩性识别方法研究[J].吉林大学学报:地球科学版,2005,35(3):394-397.]
[9]Wang Yongjun,Zhou Xuefeng,Wu Haizhong,et al.A new tech-nique of lithologic identification for volcanics[J].Fault-Block Oil&Gas Field,2006,13(3):86-88.[王拥军,周雪峰,吴海忠,等.火山岩岩性识别新技术[J].断块油气田,2006,13(3):86-88.]
[10]Lian Chengbo,Li Hanlin,Qu Fang,et al.Prediction of porosi-ty based on BP artificial neural network with well logging da-ta[J].Natural Gas Geoscience,2006,17(3):382-384.[连承波,李汉林,渠芳,等.基于测井资料的BP神经网络模型在孔隙度定量预测中的应用[J].天然气地球科学,2006,17(3):382-384.]
[11]Chen Zhongqiang.Model for saturation simulation in volcanicreservoirs and its application[J].Journal of Jianghan Petrole-um Institute,2006,28(3):79-81.[陈忠强.火山岩储层的饱和度模型研究及应用[J].江汉石油学院学报,2006,28(3):79-81.]
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