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机构地区:[1]中国地质大学(北京)数理学院,北京100083
出 处:《油气地质与采收率》2015年第6期61-67,共7页Petroleum Geology and Recovery Efficiency
摘 要:砂岩和泥岩的纵波速度、密度和纵波波阻抗等常规参数的概率分布图常出现相互重叠的情况,使叠后波阻抗反演和传统的单参数储层预测难以解决储层预测和流体识别问题。由于地震数据的多解性,储层预测往往存在风险。因此,采用岩石物理参数和地球物理参数概率融合法,开展了以地震岩石物理参数分析为基础的叠前储层预测,利用叠前资料既可以大大减少储层预测的多解性,提高预测精度,降低勘探风险,同时又可揭示和表征储层预测中的不确定性。研究结果表明,叠前地震反演参数如纵波速度、横波速度、纵波波阻抗、横波波阻抗、纵横波速比和泊松比均能在一定程度上区分岩性和含气性,但无法给出高精度的含气性和岩性预测结果,融合多个地震反演参数的概率分布,充分提取反演参数中包含的储层岩性及含气性信息,既可有效识别储层岩性和含气性,又可提高储层预测精度。且多参数概率融合法预测砂层厚度和气层厚度的精度均高于传统的弹性反演转换方法。Sandstone is close to mudstone in P-wave velocity,density,P-wave impedance and other conventional parameters sometimes. So,it is difficult to solve the reservoir prediction problems and to discriminate gas-bearing sandstone from shale by using general reservoir prediction methods such as post-stack impedance inversion and single parameter prediction. Because of multiple solutions of seismic data,the result of reservoir prediction is always at risk of failure. Therefore,based on seismic rock physics analysis,combined with multi-parameter probability fusion method to fuse petrophysical parameters and geophysical parameters,pre-stack reservoir prediction was carried out,which may reduce multiple solutions and enhance prediction precision with fewer risks. It is feasible,and also reveal and characterize the uncertainties in reservoir prediction. The results of the study show that pre-stack seismic inversion parameters such as P-wave velocity and impedance,S-wave velocity and impedance,longitudinal wave velocity ratio and Poisson's ratio may discriminate sandstone from shale and identify gas-bearing sandstone to some degree,but the precision of prediction results were not high. The method of multi-parameter probability fusion may extract as much as possible information of reservoir for prediction. Therefore,the method not only can effectively discriminate the lithology and distinguish gas-bearing formation from non-gasbearing formation,but also improve the precision of reservoir prediction. At the same time,the precision of the thickness of sand layer and gas layer predicted by multi-parameter probability fusion method is higher than that of conventional elastic inversion method.
关 键 词:多参数概率融合法 反演参数 叠前储层预测 岩石物理分析 苏里格气田
分 类 号:P631.445[天文地球—地质矿产勘探]
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