分流河道砂体地球物理刻画方法研究——以G油田扶余油层为例

发布时间：2018-05-13 02:07

本文选题：分流河道砂体 + 地球物理方法　；参考：《地球物理学进展》2016年06期

【摘要】：松辽盆地陆相三角洲沉积的主力储层为分流河道砂体,其以"砂薄、砂地比低、横向分布不稳定"为特点.针对分流河道砂体平面展布及厚度预测难题,本文提出在对振幅、频率、相位、波形及相关等多种地震属性提取基础上进行优选组合,确定输入的最佳属性组合,应用支持向量机方法预测河道平面展布;同时应用测井曲线重构、随机反演方法,提高垂向分辨率,有效识别分流河道砂体厚度这一综合刻画方法.文中以G油田扶余油层F205沉积单元为例,识别出3条断续型分流河道沉积(河道1为基于井落实河道,河道2、3为地震预测河道),均为北北西走向.研究区中部的预测河道2在F205沉积单元内预测延伸长度为800 m,根据随机反演结果显示厚度在5 m左右.河道2相对于研究区东部预测河道3厚度大,延伸长,是下一步井位部署的潜力区.截止目前,在预测河道2中部设计了一口评价井G12-9,F205沉积单元钻遇砂岩厚度4.8 m,有效厚度为4.6 m,试油方式为压后抽汲,试油结论为高产工业油层.后经岩心、测井曲线等证实,该井为典型的河道砂沉积体.这充分证明了应用优选地震属性的支持向量机方法刻画河道平面展布,结合测井曲线重构参与的随机反演方法刻画河道厚度,在三角洲沉积体系分流河道的综合刻画上是有效的.
[Abstract]:The main reservoir of continental delta sediments in Songliao Basin is distributary channel sand body, which is characterized by "thin sand, low ratio of sand to soil, unstable transverse distribution". In view of the difficult problem of plane distribution and thickness prediction of distributary channel sand body, this paper presents an optimal selection combination based on the extraction of amplitude, frequency, phase, waveform and related seismic attributes to determine the best attribute combination of input. The support vector machine (SVM) is used to predict the plane distribution of the channel, and the reconstruction of log curves and the random inversion method are used to improve the vertical resolution and effectively identify the thickness of the distributary channel sand body. Taking the F205 sedimentary unit of Fuyu reservoir in G oilfield as an example, three intermittent distributary channel depositions have been identified (channel 1 is well based channel, channel 2 is seismic prediction channel, all of them are NNW strike. The predicted extension length of channel 2 in the middle of the study area is 800 m in the F205 sedimentary unit, and the thickness is about 5 m according to the random inversion results. Compared with the eastern part of the study area, channel 2 has a large thickness and a long extension, which is the potential area for well location deployment in the next step. Up to now, an evaluation well G12-9 / F205 sedimentary unit has been designed in the middle of the prediction channel 2 to meet the sandstone thickness of 4.8 m and the effective thickness is 4.6 m.The oil testing method is swabbing after pressure, and the oil testing conclusion is high production industrial reservoir. The core and logging curves confirm that the well is a typical channel sand deposit. It is fully proved that the optimal seismic attribute support vector machine method is used to depict the distribution of river channel plane, and the stochastic inversion method in combination with log curve reconstruction is used to depict the river channel thickness. It is effective in the comprehensive description of distributary channel in delta sedimentary system.
【作者单位】：东北石油大学地球科学学院;东北石油大学提高油气采收率教育部重点实验室;辽河油田公司勘探开发研究院;东北石油大学石油工程学院;
【基金】：中国博士后科学基金面上资助(2014M561324) 教育部重点实验室开放性课题(NEPU-EOR-2014-008)联合资助
【分类号】：P618.13;P631.4

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