利用AVO技术检测大庆长垣黑帝庙油层浅层气藏
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摘要
大庆长垣浅层气藏具有埋藏浅、成因复杂、储量小、丰度低、类型多和分布广的特点,地震预测技术一直没有获得突破。应用叠前AVO属性识别浅层气分布范围,首先分析叠前CRP道集地震振幅随偏移距的变化特征,查明含气储层的AVO异常类型,然后优选适合的P(纵波反射系数)、G(斜率)属性组合,快速预测浅层气藏。此方法不受井的约束,预测结果可靠。目前AVO技术在松辽盆地浅层气藏识别中已得到推广应用。
The shallow gas reservoirs in Daqing Pluto have the characteristics of shallow burial, complex causes, low reserves, low abundance, many types and wide distribution, and the earthquake prediction technology has not been broken. Research shows that the pre-stack AVO attribute can efficiently identify the distribution of shallow gas. First, the variation characteristics of the amplitude of the prestack of the pre-cascade CRP are analyzed, and the AVO anomaly type of the gas-bearing reservoir is found, and then the appropriate P(longitudinal wave reflection coefficient) and G(slope) attribute combination is used to predict rapidly the shallow gas reservoirs. This method is not well restrained by wells, and the prediction results are reliable. At present, AVO technology has been popularized in the identification of shallow gas reservoirs in Songliao Basin.
The shallow gas reservoirs in Daqing Pluto have the characteristics of shallow burial, complex causes, low reserves, low abundance, many types and wide distribution, and the earthquake prediction technology has not been broken. Research shows that the pre-stack AVO attribute can efficiently identify the distribution of shallow gas. First, the variation characteristics of the amplitude of the prestack of the pre-cascade CRP are analyzed, and the AVO anomaly type of the gas-bearing reservoir is found, and then the appropriate P(longitudinal wave reflection coefficient) and G(slope) attribute combination is used to predict rapidly the shallow gas reservoirs. This method is not well restrained by wells, and the prediction results are reliable. At present, AVO technology has been popularized in the identification of shallow gas reservoirs in Songliao Basin.
引文
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[6]王建民,王元波,任林伟,等.AVA处理技术及其在英台-大安地区的应用[J].大庆石油地质与开发,2007,26(1):123-126.
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[12]莫午零,吴朝东,张顺.松辽盆地北部嫩江组沉积物重力流形成机制[J].天然气地球科学,2013,24(3):555-564.
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[14]李迪,吕延防,刘宗堡.大庆长垣南部黑帝庙油层沉积特征及对浅层气分布的控制作用[J].东北石油大学学报,2009,33(3):22-25.
[15]付晓飞,王洪宇,孙源,等.大庆长垣南部浅层气成因及成藏机制[J].地球科学——中国地质大学学报,2011,36(1):93-102.
[16]胡望水,周琪,唐友军,等.松辽盆地南部浅层气成藏条件分析[J].石油地质与工程,2009,23(5):8-11.
[17]王始波,冯子辉,梁江平,等.松辽盆地北部生物气和低熟气成藏主控因素[J].大庆石油地质与开发,2010,29(2):1-4.
[2]OSTRANDER W J.Plane-wave reflection coefficients for gas sands at non-normal angles of incidence[J].Geophysics,1984,49(10):1637-1648.
[3]付雷,刘财,李勤学,等.大庆地区的三维AVO分析研究[J].石油地球物理勘探,2004,39(6):697-710.
[4]沈秀英.AVO技术在伊盟地区黑劳潮西构造上的应用:地震地层横向预测技术及实例[M].北京:石油工业出版社,1992:97-101.
[5]傅锁堂,王大兴.长庆气田榆林区山2段砂岩气藏的AVO分析[J].天然气工业,2000,20(6):24-26.
[6]王建民,王元波,任林伟,等.AVA处理技术及其在英台-大安地区的应用[J].大庆石油地质与开发,2007,26(1):123-126.
[7]潘仁芳.AVO的内涵与外延[J].石油天然气学报,2006,28(2):50-55.
[8]王振国,陈小宏,王学军,等.AVO方法检测油气应用实例分析[J].石油地球物理勘探,2007,42(2):194-197.
[9]殷八斤,曾灏,杨在岩.AVO技术的理论与实践[M].北京:石油工业出版社,1995:69-71.
[10]SHUEY R T.Amplification of the zoeppritz ps equations[J].Geophysics,1985,50(4):609-614.
[11]扈玖战.AVO技术在杏树岗地区浅层气预测中的应用[J].大庆石油地质与开发,2015,34(4):134-138.
[12]莫午零,吴朝东,张顺.松辽盆地北部嫩江组沉积物重力流形成机制[J].天然气地球科学,2013,24(3):555-564.
[13]段新国.针对浅层气的一种改进的AVO识别方法[J].天然气工业,2006,26(10):60-62.
[14]李迪,吕延防,刘宗堡.大庆长垣南部黑帝庙油层沉积特征及对浅层气分布的控制作用[J].东北石油大学学报,2009,33(3):22-25.
[15]付晓飞,王洪宇,孙源,等.大庆长垣南部浅层气成因及成藏机制[J].地球科学——中国地质大学学报,2011,36(1):93-102.
[16]胡望水,周琪,唐友军,等.松辽盆地南部浅层气成藏条件分析[J].石油地质与工程,2009,23(5):8-11.
[17]王始波,冯子辉,梁江平,等.松辽盆地北部生物气和低熟气成藏主控因素[J].大庆石油地质与开发,2010,29(2):1-4.