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Study on the Application of the EPSTM Image based Post-stack Spectrum Imaging to the Identification of the Riverway Sand Bodies in Fuyang Oil Layer of Songliao Basin

机译:基于EPSTM图像的叠层谱谱识别在松辽盆地阜阳油层鉴定中的应用研究

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The later-period structure of Fuyang oil layer is complex and its reservoir is mostly composed by the sand bodies of riverways. The oil and gas reservoir features obvious concealment, and also is difficult to identify. To accurately describe the reservoir, a post-stack spectrum imaging was made for the identification of the riverway sand bodies in Fuyang oil layer using EPS image in the study area. The statistical error of the riverway sand body identification result using post-stack spectrum imaging was small if the sandstone thickness was greater than 3 m. Seen from logging well's geological verification, the riverway identification fit rate was 81.6% on average, the microfacies type identification fit rate was 75%, and the microfacies types identification fit rate of the sandstone thicker than 3 m was 80%. Using the nonlinear algorithm of the MDI software, the lithologic prediction was implemented based on the sand group as the unit, and the average prediction fit rate of the sandstone thicker than 3 m reached 90% according to the standard relative error less than 20%. Therefore, the post-stack spectrum imaging can exert a significant effect for the anisotropic reservoirs of complex later-period structure, thin sand body, and complex changes, and can meet the needs of the oil field exploration and development to some extent.
机译:阜阳层的后期结构是复杂的,其水库主要由河道的砂体组成。石油和天然气储层具有明显的隐藏性,并且难以识别。为了准确描述储存器,在研究区域中使用EPS图像识别富阳油层的河道砂体的堆叠后谱成像。如果砂岩厚度大于3米,则使用堆栈砂体识别结果的统计误差小。从伐木井的地质核查中看到,河道鉴定率平均为81.6%,微缩醛型鉴定率为75%,微缩醛类型鉴定砂岩率厚度超过3米为80%。利用MDI软件的非线性算法,基于砂组作为本机的实施岩性预测,砂岩的平均预测率比3米厚度达到90%,根据该标准相对误差小于20%。因此,堆叠后谱成像可以对复杂的后期结构,薄砂体和复杂变化的各向异性储存器发起显着影响,并且可以在一定程度上满足油田勘探和发展的需求。

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