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机构地区:[1]中国地质大学(武汉)地球物理与空间信息学院,湖北武汉430074 [2]中国地质大学(武汉)地球内部多尺度成像湖北省重点实验室,湖北武汉430074 [3]中国石油化工股份有限公司西北油田分公司勘探开发研究院,新疆乌鲁木齐830011
出 处:《石油物探》2014年第6期720-726,共7页Geophysical Prospecting For Petroleum
基 金:国土资源部公益性行业科研专项(201211082-03)"塔里木盆地古潜山奥陶系风化壳油藏岩溶储层预测"资助
摘 要:为了对塔中地区顺托果勒南区块SN1井区碳酸盐岩缝洞型储层进行精细预测,开展了基于三维叠前地震数据的贝叶斯反演技术应用研究,重点论述了测井曲线重构、岩石物理分析、敏感弹性参数验证、叠前反演角道集优选等关键技术环节。利用神经网络技术建立测井响应与地层参数之间的关系模型,重构出垮塌井段的纵、横波速度及密度测井曲线;通过建立缝洞型储层的地震地质模型,利用正、反演技术同时验证了贝叶斯叠前反演在SN1井区的适用性及敏感弹性参数识别储层的有效性。最后将叠后曲率属性与叠前反演的敏感弹性参数属性进行融合,对碳酸盐岩缝洞型储层进行精细刻画,预测出SN1井区两条相交断裂带的交会区域为最有利勘探区带。In order to precisely predict the fractured-vuggy carbonate reservoir characteristics of SN1 well area in Tazhong area,the application research of Bayesian inversion technique based on 3D prestack seismic data is con ducted.This paper is focusing on well logs reconstruction,rock physical analysis,verification of sensitive elastic parameters and angle-gathers optimization of prestack inversion.By using neural network technique,we established the relation models between log response and reservoir parameters,with which we reconstructed the well logs of S-wave and P-wave velocities and density.Making use of forward and inversion techniques for seismic-geological models of fractured-vuggy carbonate reservoir,we proved the capability of prestack Bayesian inversion and the effectiveness of reservoir recognition by sensitive elastic parameters in SN1 well area.At the end of this paper,by the integration of poststack curvature attribute and sensitive elastic parameters from the prestack Bayesian inversion we carried out fine characterization of fracture-vuggy reservoirs of SN1 well area and predicted that the intersection area of the two fault zones is the most favorable exploration area.
关 键 词:碳酸盐岩缝洞型储层 贝叶斯叠前反演 测井曲线重构 正演模拟 储层精细预测
分 类 号:P631.4[天文地球—地质矿产勘探]
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