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作 者:马智斌 高刚[1] 桂志先[1] MA Zhibin;GAO Gang;GUI Zhixian(School of Geophysics and Petroleum Resources,Yangtze University,Wuhan,Hubei 430100,China)
机构地区:[1]长江大学地球物理与石油资源学院
出 处:《石油地质与工程》2020年第1期42-46,共5页Petroleum Geology and Engineering
摘 要:高邮凹陷黄珏油田浅层气藏构造复杂,常规弹性参数无法完全区分岩性和流体。通过地震、地质、测井等资料综合分析,特别是对重点井目的层段的岩石物理分析,提出将纵横波速度与密度相结合而定义的敏感因子--流体识别因子识别浅层气藏的思路,并将流体识别因子反演结果与常规弹性参数反演结果进行对比,研究发现流体识别因子反演可以有效地识别出目的层段的含气性,其结果较单一弹性参数反演结果具有更高的精度、更高的可靠性,为黄珏油田浅层气藏勘探及有利区域预测指明了方向。The shallow gas reservoir of Huangjue oilfield in Gaoyou sag has complex structure, so conventional elastic parameters cannot distinguish lithology and fluid completely. In order to form a shallow gas reservoir identification mark according to the geological characteristics of Huangjue oilfield, through the comprehensive analysis of seismic, geological and logging data, especially the petrophysical analysis of the target interval of key wells, the idea of identifying shallow gas reservoir by fluid identification factor, which is a sensitive factor defined by combining P-S wave velocity and density, is put forward. Comparing the inversion result of fluid identification factor with that of conventional elastic parameter, it is found that the inversion of fluid identification factor can effectively identify the gas bearing property of the target interval. Compared with singly elastic parameter inversion results, the result has higher accuracy and reliability, which points out the direction for shallow gas reservoir exploration and favorable area prediction in Huangjue oilfield.
关 键 词:叠前AVO反演 岩石物理分析 敏感因子 流体识别因子
分 类 号:P631.4[天文地球—地质矿产勘探]
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