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Reservoir parameter estimation constrained to pressure transients, performance history and distributed saturation data.

机译:储层参数估计仅限于压力瞬变,性能历史和分布式饱和度数据。

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摘要

This work deals with the problem of estimating the distributions of permeability and porosity in a petroleum reservoir by matching the dynamic behavior. The dynamic data is in the form of field measurements from well testing, production history, interpreted 4-D seismic information, and other data such as correlations between permeability and porosity, geostatistics in the form of a variogram model and the inference of large scale geological structure.; The issue was posed as an inverse problem and solved by using nonlinear parameter estimation. The procedure developed here is capable of processing all the information simultaneously and this results in a fast and efficient method. The procedure is also able to determine the uncertainty associated with the estimated permeability and porosity fields.; The behavior of the reservoir was modeled with a finite difference numerical simulator because of the requirement of a mathematical model that is sufficiently complex to accommodate all the types of the dynamic data we used. This allowed us to apply the approach to heterogeneous reservoirs, multiphase flow and multiple well problems.; The key issue in the procedure is in the efficient computation of the derivatives of the field observations with respect to parameters that define the distributions of permeability and porosity in the reservoir. The algorithms developed here to compute these derivatives, referred to as sensitivity coefficients, were found to be extremely fast, and were generalized to a wide variety of different parameter types. Examples of different parameter types that may be estimated by this approach include: (a) individual block permeabilities and porosities; (b) geological objects such as channels and faults; (c) pilot points that form the basis of a kriged distribution; and (d) seismic attenuation values from 3-D seismic images.; An important conclusion of this work is that the value of each piece of information does not reside in its isolated use but in the value it adds to integrated analysis of the complete set of information. Thus data that traditionally was considered to be of low information content for reservoir characterization becomes useful and enhances the value of the data set as a whole.
机译:这项工作解决了通过匹配动态行为来估算石油储层中渗透率和孔隙率分布的问题。动态数据的形式包括:从试井,生产历史,解释的4D地震信息以及其他数据(例如渗透率和孔隙率之间的相关性,变异函数模型形式的地统计信息以及大规模地质推断)等方面进行的现场测量结构体。;该问题被提出为反问题,并通过使用非线性参数估计来解决。此处开发的过程能够同时处理所有信息,因此这是一种快速有效的方法。该程序还能够确定与估计的渗透率和孔隙率场有关的不确定性。由于需要足够复杂的数学模型来容纳我们使用的所有动态数据类型,因此使用有限差分数值模拟器对储层的行为进行了建模。这使我们能够将该方法应用于非均质油藏,多相流和多口井问题。该程序中的关键问题在于有效地计算关于确定储层渗透率和孔隙度分布的参数的野外观测值的导数。发现这里开发的用于计算这些导数的算法(称为敏感度系数)非常快,并且被推广到各种不同的参数类型。可以通过这种方法估算的不同参数类型的示例包括:(a)各个区块的渗透率和孔隙率; (b)通道和断层等地质对象; (c)构成克雷格分布的基础的试点; (d)3-D地震图像的地震衰减值;这项工作的重要结论是,每条信息的价值不在于其孤立的用途,而在于其对完整信息集的综合分析所增加的价值。因此,传统上被认为储层表征信息量低的数据变得有用,并提高了整个数据集的价值。

著录项

  • 作者

    Landa, Jorge Luis.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Engineering Petroleum.; Geology.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 251 p.
  • 总页数 251
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 石油、天然气工业;地质学;
  • 关键词

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