四川长宁页岩总有机碳地震定量预测方法
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摘要
页岩总有机碳(TOC)质量分数是评价页岩储层生烃能力的重要参数,也是页岩气"甜点"预测的关键要素。以四川盆地长宁地区下志留统龙马溪组页岩气储层为研究对象,提出一种页岩TOC地震定量预测方法。首先,通过测井解释和地震资料处理分析,明确页岩优质储层地震和测井响应特征;然后,通过地震岩石物理分析和测井资料分析,确定TOC的敏感参数为密度,并建立它与TOC质量分数之间的拟合关系,得到研究区TOC质量分数经验公式;最后,结合叠前地震反演技术获得的密度体和经验公式,将密度体转化为TOC数据体,进而定量预测TOC质量分数。结果表明,利用叠前反演获得的密度体可进行TOC质量分数定量预测,并且预测的TOC质量分数相对误差小。该技术在研究区页岩气勘探中有很好的适应性。
The w(TOC)is an important index for the evaluation of hydrocarbon generation potential of shale reservoirs,and the key factor for the prediction of shale gas sweet spot.Taking the shale gas reservoirs of the Longmaxi formation of the lower Silurian,Changning area,Sichuan basin,as the object of study,a kind of seismic quantitative prediction technologies of TOC was developed.First,seismic and logging responses of high quality shale reservoirs were defined through logging interpretation and processing and analysis of seismic data.Then,through the analysis of seismic rock physics and log data,density was found to be sensitive to TOC.The fitting relationship between density and w(TOC)was established and an empirical formula for calculating the TOC was obtained.Then based on the density volume from pre-stack seismic inversion and empirical formula,the density volume was converted to the TOC data volume,so as to realize the quantitative prediction of w(TOC).Finally,through the TOC volume to delineate the spatial distribution of the shale gas reservoirs with the study area.The result shows that w(TOC)can be quantitatively predicted by density of pre-stack inversion,and the relative errors are small.And it also shows the technique for shale gas exploration has a good adaptability in the study area.
The w(TOC)is an important index for the evaluation of hydrocarbon generation potential of shale reservoirs,and the key factor for the prediction of shale gas sweet spot.Taking the shale gas reservoirs of the Longmaxi formation of the lower Silurian,Changning area,Sichuan basin,as the object of study,a kind of seismic quantitative prediction technologies of TOC was developed.First,seismic and logging responses of high quality shale reservoirs were defined through logging interpretation and processing and analysis of seismic data.Then,through the analysis of seismic rock physics and log data,density was found to be sensitive to TOC.The fitting relationship between density and w(TOC)was established and an empirical formula for calculating the TOC was obtained.Then based on the density volume from pre-stack seismic inversion and empirical formula,the density volume was converted to the TOC data volume,so as to realize the quantitative prediction of w(TOC).Finally,through the TOC volume to delineate the spatial distribution of the shale gas reservoirs with the study area.The result shows that w(TOC)can be quantitatively predicted by density of pre-stack inversion,and the relative errors are small.And it also shows the technique for shale gas exploration has a good adaptability in the study area.
引文
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[13]闫德宇,黄文辉,李昂,等.鄂尔多斯盆地上古生界海陆过渡相页岩气聚集条件及有利区预测[J].东北石油大学学报,2013,37(5):1-9.Yan Deyu,Huang Wenhui,Li Ang,et al.Preliminary analysis of marine-continental transitional shale gas accumulation condition,and favorable areas in the upper Paleozoic Ordos basin[J].Journal of Northeast Petroleum University,2013,37(5):1-9.
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[16]金吉能,潘仁芳,王鹏,等.地震多属性反演预测页岩总有机碳含量[J].石油天然气学报,2012,34(11):68-72.Jin Jineng,Pan Renfang,Wang Peng,et al.Prediction of total organic carbon content of shale using seismic multi-attribute inversion[J].Journal of Oil and Gas Technology,2012,34(11):68-72.
[17]周家雄,刘薇薇,马光克,等.高温高压储层的精细地震属性预测技术——以莺歌海盆地为例[J].天然气工业,2013,33(2):7-11.Zhou Jiaxiong,Liu Weiwei,Ma Guangke,et al.Fine description and prediction of seismic attributes of HPHT gas reservoirs in the Yinggehai basin[J].Natural Gas Industry,2013,33(2):7-11.
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[19]许杰,何治亮,董宁,等.含气页岩有机碳含量地球物理预测[J].石油地球物理勘探,2013,48(增刊1):64-68.Xu Jie,He Zhiliang,Dong Ning,et al.Total organic carbon content prediction of gas-bearing shale with geophysical methods[J].Oil Geophysical Prospecting,2013,48(Supp.1):64-68.
[20]吴奇,梁兴,鲜成钢,等.地质—工程一体化高效开发中国南方海相页岩气[J].中国石油勘探,2015,20(4):1-23.Wu Qi,Liang Xing,Xian Chenggang,et al.Geoscience to production integration ensures effective and efficient south China marine shale gas development[J].China Petroleum Exploration,2015,20(4):1-23.
[21]林彤,雍自权,刘树根,等.川东南石林地区五峰组—龙马溪组黑色页岩特征[J].东北石油大学学报,2015,39(3):83-93.Lin Tong,Yong Ziquan,Liu shugen,et al.Wufeng formation in Shilin area of southeastern Sichuan basin-Longmaxi formation black shale characteristics[J].Journal of Northeast Petroleum University,2015,39(3):83-93.
[22]熊健,刘向君,梁利喜,等.四川盆地长宁地区龙马溪组上、下段页岩储层差异研究[J].西北大学学报:自然科学版,2015,45(4):623-630.Xiong Jian,Liu Xiangjun,Liang Lixi,et al.On the differences of reservoir characteristics of the upper and the lower Longmaxi formation shale in the Changning region of Sichuan basin[J].Journal of Northwest University:Natural Science Edition,2015,45(4):623-630.
[23]孙梦迪,于炳松,夏威,等.渝东南地区下志留统底部黑色岩系沉积环境及有机质富集机制——以鹿角剖面为例[J].东北石油大学学报,2014,38(5):51-60.Sun Mengdi,Yu Singsong,Xia Wei,et al.Sedimentary environment and organic matter enrichment mechanism of black shale at the bottom of lower Silurian,southeast of Chongqing area:Take Lujiao section as an example[J].Journal of Northeast Petroleum University,2014,38(5):51-60.
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