海相页岩含气量地震定量预测技术及其应用——以四川盆地焦石坝地区为例
|
摘要
以四川盆地焦石坝地区为例,通过岩心含气量与地球物理参数交会分析,找到含气量敏感地球物理参数—密度,并建立含气量与密度之间的数学模型,得到计算含气量的经验公式。结合叠前反演获得的密度体便可计算出含气量数据体,从而达到定量预测页岩含气量的目的。结果表明,通过叠前密度反演可实现该区页岩含气量的定量预测,而且精度较高,同时指出五峰组—龙马溪组一段底部含气量最高,可作为勘探开发的首选层段。
We propose in this paper a shale gas content prediction approach.We first analyze gas content of core in Jiaoshiba area,Sichuan Basin,and analyze measured gas content vs geophysical parameters.We find that density is sensitive to gas content.Then we establish an optimal fitting equation between density and gas content,and obtain an empirical formula for calculating gas content.After that we calculate gas content volume based on the density volume from prestack seismic inversion.Finally we predict quantitatively gas content.Our application shows that shale gas content can be quantitatively predicted based on density of prestack inversion.We also find out that the bottom of Wufeng-Longmaxi formation in the area has the highest gas content,which might be a prime target for the future exploration.
We propose in this paper a shale gas content prediction approach.We first analyze gas content of core in Jiaoshiba area,Sichuan Basin,and analyze measured gas content vs geophysical parameters.We find that density is sensitive to gas content.Then we establish an optimal fitting equation between density and gas content,and obtain an empirical formula for calculating gas content.After that we calculate gas content volume based on the density volume from prestack seismic inversion.Finally we predict quantitatively gas content.Our application shows that shale gas content can be quantitatively predicted based on density of prestack inversion.We also find out that the bottom of Wufeng-Longmaxi formation in the area has the highest gas content,which might be a prime target for the future exploration.
引文
[1]李玉喜,乔德武,姜文利等.页岩气含气量与页岩气地质评价综述.地质通报,2011,30(2/3):308-317.Li Yuxi,Qiao Dewu,Jiang Wenli et al.Gas content of gas-bearing shale and its geological evaluation summary.Geological Bulletin of China,2011,30(2/3):308-317.
[2]陈永武,王少波,韩征等.页岩气资源/储量计算与评价技术.中华人民共和国国土资源部,2014.
[3]李郭琴,李宜真,吴斌.页岩含气量研究方法:以川东南地区龙马溪组为例.石油化工应用,2014,33(3):6-8.Li Guoqin,Li Yizhen,Wu Bin.Research methods of shale gas content:a case study of Longmaxi formation in southern Sichuan.Petrochemical Industry Application,2014,33(3):6-8.
[4]董谦,刘小平,李武广等.关于页岩含气量确定方法的探讨.天然气与石油,2012,30(5):34-37.Dong Qian,Liu Xiaoping,Li Wuguang et al.Determination of gas content in shale.Natural Gas and Oil,2012,30(5):34-37.
[5]Jiang Yali,Xue Huaqing,Wang Hongyan.The measurement of shale gas content.Applied Mechanics and Materials,2013,288:333-337.
[6]张琴,刘洪林,拜文华等.渝东南地区龙马溪组页岩含气量及其主控因素分析.天然气工业,2013,33(5):35-39.Zhang Qin,Liu Honglin,Bai Wenhua et al.Shale gas content and its main controlling factors in Longmaxi shales in southeastern Chongqing.Natural Gas Industry,2013,33(5):35-39.
[7]聂海宽,张金川.页岩气聚集条件及含气量计算—以四川盆地及其周缘下古生界为例.地质学报,2012,86(2):349-361.Nie Haikuan,Zhang Jinchuan.Shale gas accumulation conditions and gas content calculation:A case study of Sichuan basin and its periphery in the lower Paleozoic.Acta Geologica Sinica,2012,86(2):349-361.
[8]王莉莎,陈乔,王森等.页岩含气量的影响因素及预测.油气田地面工程,2014,33(2):1-2.Wang Lisha,Chen Qiao,Wang Sen et al.The influence factors of shale gas content and predictions.Gas Field Surface Engineering,2014,33(2):1-2.
[9]王燕,张汉荣,冯明刚等.利用常规测井资料预测泥页岩含气量的方法—以川东北元坝地区为例.石油天然气学报,2014,36(1):66-72.Wang Yan,Zhang Hanrong,Feng Minggang et al.Method for predicting mud-shale gas content by using conventional logging data-by taking Yuanba area in northeastern Sichuan for example.Journal of Oil and Gas Technology,2014,36(1):66-72.
[10]孙小琴.地震属性分析技术在彭水区块页岩含气量预测中的应用.石油地质与工程,2013,27(4):39-41.Sun Xiaoqing.The application of seismic attribute analysis technology in the prediction of shale gas content,Pengshui area.Petroleum Geology and Engineering,2013,27(4):39-41.
[11]Shtepani E,Noll L A,Elrod L W.A new regressionbased method for accurate measurement of coal and shale gas content.SPE Reservoir Evaluation&Engineering,2010,13(2):359-364.
[12]宋涛涛,毛小平.页岩气资源评价中含气量计算方法初探.中国矿业,2013,22(1):34-36.Song Taotao,Mao Xiaoping.Discussion on gas content calculation method of shale gas resource evaluation.China Mining Magazine,2013,22(1):34-36.
[13]刘伟,张宇生,万小平等.四川盆地龙马溪组页岩气储层AVO预测可行性研究.石油地球物理勘探,2014,49(增刊1):5-10.Liu Wei,Zhang Yusheng,Wan Xiaoping et al.Feasibility study for shale gas reservoir prediction with AVO in Sichuan basin.OGP,2014,49(S1):5-10.
[14]刘力辉,杨晓,丁燕等.基于岩性预测的CRP道集优化处理.石油物探,2013,52(5):482-488.Liu Lihui,Yang Xiao,Ding Yan et al.CRP gather optimization processing based on lithological prediction.GPP,2013,52(5):482-488.
[2]陈永武,王少波,韩征等.页岩气资源/储量计算与评价技术.中华人民共和国国土资源部,2014.
[3]李郭琴,李宜真,吴斌.页岩含气量研究方法:以川东南地区龙马溪组为例.石油化工应用,2014,33(3):6-8.Li Guoqin,Li Yizhen,Wu Bin.Research methods of shale gas content:a case study of Longmaxi formation in southern Sichuan.Petrochemical Industry Application,2014,33(3):6-8.
[4]董谦,刘小平,李武广等.关于页岩含气量确定方法的探讨.天然气与石油,2012,30(5):34-37.Dong Qian,Liu Xiaoping,Li Wuguang et al.Determination of gas content in shale.Natural Gas and Oil,2012,30(5):34-37.
[5]Jiang Yali,Xue Huaqing,Wang Hongyan.The measurement of shale gas content.Applied Mechanics and Materials,2013,288:333-337.
[6]张琴,刘洪林,拜文华等.渝东南地区龙马溪组页岩含气量及其主控因素分析.天然气工业,2013,33(5):35-39.Zhang Qin,Liu Honglin,Bai Wenhua et al.Shale gas content and its main controlling factors in Longmaxi shales in southeastern Chongqing.Natural Gas Industry,2013,33(5):35-39.
[7]聂海宽,张金川.页岩气聚集条件及含气量计算—以四川盆地及其周缘下古生界为例.地质学报,2012,86(2):349-361.Nie Haikuan,Zhang Jinchuan.Shale gas accumulation conditions and gas content calculation:A case study of Sichuan basin and its periphery in the lower Paleozoic.Acta Geologica Sinica,2012,86(2):349-361.
[8]王莉莎,陈乔,王森等.页岩含气量的影响因素及预测.油气田地面工程,2014,33(2):1-2.Wang Lisha,Chen Qiao,Wang Sen et al.The influence factors of shale gas content and predictions.Gas Field Surface Engineering,2014,33(2):1-2.
[9]王燕,张汉荣,冯明刚等.利用常规测井资料预测泥页岩含气量的方法—以川东北元坝地区为例.石油天然气学报,2014,36(1):66-72.Wang Yan,Zhang Hanrong,Feng Minggang et al.Method for predicting mud-shale gas content by using conventional logging data-by taking Yuanba area in northeastern Sichuan for example.Journal of Oil and Gas Technology,2014,36(1):66-72.
[10]孙小琴.地震属性分析技术在彭水区块页岩含气量预测中的应用.石油地质与工程,2013,27(4):39-41.Sun Xiaoqing.The application of seismic attribute analysis technology in the prediction of shale gas content,Pengshui area.Petroleum Geology and Engineering,2013,27(4):39-41.
[11]Shtepani E,Noll L A,Elrod L W.A new regressionbased method for accurate measurement of coal and shale gas content.SPE Reservoir Evaluation&Engineering,2010,13(2):359-364.
[12]宋涛涛,毛小平.页岩气资源评价中含气量计算方法初探.中国矿业,2013,22(1):34-36.Song Taotao,Mao Xiaoping.Discussion on gas content calculation method of shale gas resource evaluation.China Mining Magazine,2013,22(1):34-36.
[13]刘伟,张宇生,万小平等.四川盆地龙马溪组页岩气储层AVO预测可行性研究.石油地球物理勘探,2014,49(增刊1):5-10.Liu Wei,Zhang Yusheng,Wan Xiaoping et al.Feasibility study for shale gas reservoir prediction with AVO in Sichuan basin.OGP,2014,49(S1):5-10.
[14]刘力辉,杨晓,丁燕等.基于岩性预测的CRP道集优化处理.石油物探,2013,52(5):482-488.Liu Lihui,Yang Xiao,Ding Yan et al.CRP gather optimization processing based on lithological prediction.GPP,2013,52(5):482-488.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心