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首页> 外文期刊>Arabian journal of geosciences >River channel sand body prediction by means of integrating well log and seismic attribute analysis in dense well patterns: A case study of the eastern Beierxi Block in the Sabei Development Area of Daqing Oilfield, China
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River channel sand body prediction by means of integrating well log and seismic attribute analysis in dense well patterns: A case study of the eastern Beierxi Block in the Sabei Development Area of Daqing Oilfield, China

机译：测井与地震属性分析相结合的稠密井网河道砂体预测-以大庆油田萨北开发区北二块东段为例

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摘要

The developmental areas in eastern China have been in the super-high water cut phase for a significant amount of time, and as a result the distribution of remaining oil has gradually become more and more complex. The effective prediction of the distribution of interwell river channel sand bodies in dense well patterns has become an urgent issue in enhanced oil recovery. In this paper, based on the comprehensive analysis of high-resolution well logs and seismic data, a case study of predicting interwell channel sand bodies is carried out, with the assistance of high-resolution well logs and 3D seismic data from the Beierxi Block of the Sabei Development Area. After interpretation of the horizons and faults, the seismic attributes are extracted on the premise of seismic horizon tracing in a dense well pattern, and seismic attributes on wells are determined by means of the inverse distance-weighted mean method. The linear statistical correlation, multivariate statistical correlation, clustering procedure correlation, and 2D crossplot analyses of the RAVE module between the seismic attributes and well logs are used to deduce the relationships between seismic data and physical information of the reservoir (including effective thickness and distribution of sedimentary facie). Finally, the possibility of using multiattribute results to foster an understanding of depositional-oriented trends in interwell river channel sand body distribution is demonstrated. The planar depositional microfacies distribution is mapped with the results of the well-seismic data, which will assist in achieving a new understanding of how remaining oil may be discovered and will also assist in making further decisions in terms of hydrocarbon exploration and development.
机译：中国东部的开发区已经有相当长的时间处于超高含水期，结果，剩余油的分布逐渐变得越来越复杂。有效地预测井间河道砂体在稠密井网中的分布已成为提高采油率的紧迫问题。本文在对高分辨率测井资料和地震资料进行综合分析的基础上，结合高分辨率测井资料和北of溪区块的3D地震资料，对井间通道砂体进行了预测研究。萨贝开发区。在解释了层位和断层之后，在密集的井眼模式下以地震层位追踪为前提提取地震属性，并通过反距离加权平均法确定井上的地震属性。 RAVE模块在地震属性和测井曲线之间的线性统计相关性，多元统计相关性，聚类过程相关性和2D交会图分析可用于推断地震数据与储层物理信息（包括有效厚度和储层分布）之间的关系。沉积相）。最后，证明了使用多属性结果来增进对井间河道砂体分布中沉积导向趋势的理解的可能性。平面沉积微相分布与地震数据的结果对应在一起，这将有助于人们对如何发现剩余的油有新的认识，也将有助于在油气勘探和开发方面做出进一步的决策。

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