Application of Stochastic Modeling Technology to the Sha26 Block in Shanian Oilfield

F. Ding, Jinliang Zhang, Jinkai Wang
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引用次数: 1

Abstract

Shanian oilfield is constituted by a number of complex fault-blocks, after nearly 10 years of waterflooding development, the relation between oil and water underground reservoirs is complex. In this case, it is difficult to predict accurately the distribution of inter-well reservoir parameters and the rich region of residual oil. Thus it is an emphasis to build a fine reservoir model, as available knowledge is limited about reservoir geometries, variogram based on stochastic modeling can be an appropriate method, where it is possible to acknowledge trends, reservoir direction continuity, facies fractions and heterogeneity of physical property. This paper puts the seismic, well logging, geological and develop dynamic research results all together, and focus a variety of stochastic modeling methods to achieve facies-controlled property modeling, ensuring the three-dimensional quantitative geological model reasonable.
随机建模技术在陕年油田沙26区块的应用
山年油田由多个复杂断块组成,经过近10年的注水开发,地下储层油水关系复杂。在这种情况下,很难准确预测井间储层参数分布和剩余油富集区。因此,建立精细的储层模型是重点,由于现有的储层几何知识有限,基于随机建模的变异函数可能是一种合适的方法,可以识别趋势、储层方向连续性、相组分和物性非均质性。本文将地震、测井、地质和开发动态等方面的研究成果综合起来,重点采用多种随机建模方法,实现了相控性建模,保证了三维定量地质模型的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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