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A forward modeling of the interwell properties in eolian deposits.

机译：风积床井间特性的正演模拟。

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摘要

In this research we study the sensitivity of water-alternating-gas (WAG) flows to a number of such parameters through numerical simulation. The results show that the performance of WAG displacements is strongly influenced by the characteristics of the permeability field used in the simulation when the fluid properties are fixed.;A number of procedures are available for generating stochastic random permeability fields, such as the matrix decomposition method (MDM), turning bands method (TBM), and simulated annealing (SA). Unlike MDM and TBM, SA is capable of incorporating information from a variety of sources, like cores, well logs, well test etc. and hence, generates geologically realistic fields. By a series of numerical experiments we show that, even though the SA produces realistic permeability fields, being primarily a Monte Carlo method it is computationally very expensive. A solution to this dilemma is the use of parallel computers. We present two parallelizing schemes that generate stochastic (spatially correlated) permeability fields using the so called 'heat bath algorithm' on Intel iPSC 860 Hypercube.;This research also introduces the application of recently discovered wavelet transform (WT) method to reservoir characterization. Wavelets are orthogonal families of basis functions that are compactly supported in time-scale space. The WT is used to analyze statistically non-stationary permeability fields. The application of WT presents a convenient way (an improvement over the traditional methods) of scaling-up and down of data, such as permeability, capillary pressure etc., where certain mathematical properties of the data are always preserved.;We also propose an analytical model for relating microscopic or grain level properties of a permeable medium, such as the particle size distribution (psd), amount and type of cementing materials present in the pore, to the macroscopic or representative-elementary-volume (REV) permeability. This model is developed by modifying the familiar Carman-Kozeny (CK) equation. However, unlike the CK equation, the proposed model is capable of predicting the permeability of consolidated clastic rocks. When used to predict the permeability of Garn Sandstone cores (a Norwegian oil reservoir) the proposed model performs remarkably well in a large number of cases.;Finally, we study the primary sedimentation processes of eolian deposits to understand the spatial variability of petrophysical properties in interwell regions. In an eolian deposit the sediment flux, mass of sand being transported over a unit surface area, depends on the airflow parameters, such as the shear stress, and the dune geometry and dimension. These parameters, along with the amount of sand supply from external sources, control the speed of migration of dunes. We present a procedure to determine the distribution of airflow parameters over dune-shaped objects. This procedure also solves the sand continuity equation using a method of characteristics approach. The solutions are presented as time-distance diagrams. These solutions determine the long-term configuration of a dune. Such time-varying solutions are useful in understanding the characteristics of buried eolian deposits. (Abstract shortened by UMI.)
机译：在这项研究中，我们通过数值模拟研究了水交替气（WAG）流量对许多此类参数的敏感性。结果表明，当流体性质固定时，WAG位移的性能受模拟中所使用的渗透率场的特性的强烈影响。;有许多方法可用于生成随机随机渗透率场，例如矩阵分解法（MDM），转向带方法（TBM）和模拟退火（SA）。与MDM和TBM不同，SA能够合并来自各种来源的信息，例如岩心，测井，测井等，因此可以生成地质上真实的字段。通过一系列数值实验，我们表明，即使SA产生了实际的渗透率场，但主要是Monte Carlo方法，但在计算上却非常昂贵。解决这一难题的方法是使用并行计算机。我们提出了两种并行化方案，它们在Intel iPSC 860 Hypercube上使用所谓的“热浴算法”来生成随机（与空间相关）的渗透率场。该研究还介绍了最近发现的小波变换（WT）方法在储层表征中的应用。小波是在时标空间中得到紧凑支持的正交基函数族。 WT用于分析统计的非平稳渗透率场。 WT的应用提出了一种方便的方法（对传统方法进行了改进），可以按比例放大和缩小数据，例如渗透率，毛细管压力等，这些数据始终保留某些数据的数学属性。用于将渗透性介质的微观或颗粒级性质（例如，粒度分布（psd），孔隙中存在的胶结材料的数量和类型）与宏观或代表性元素体积（REV）渗透率相关联的分析模型。该模型是通过修改熟悉的Carman-Kozeny（CK）方程开发的。但是，与CK方程不同，所提出的模型能够预测固结碎屑岩的渗透率。当用于预测Garn砂岩岩心（挪威的一个油藏）的渗透率时，该模型在很多情况下都表现出色。最后，我们研究了风成岩沉积的主要沉积过程，以了解该区岩石物性的空间变异性。井间区域。在风沙沉积物中，沉积物通量，在单位表面积上运输的沙粒质量取决于气流参数，例如剪切应力，沙丘的几何形状和尺寸。这些参数以及外部来源的供沙量控制着沙丘的迁移速度。我们提出了一种确定沙丘形物体上气流参数分布的程序。该程序还使用特征方法求解沙连续性方程。解决方案以时距图的形式呈现。这些解决方案确定了沙丘的长期配置。这种随时间变化的解决方案有助于理解风成岩沉积物的特征。 （摘要由UMI缩短。）

著录项

  • 作者

    Panda, Manmath Nath.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Engineering Petroleum.
  • 学位 Ph.D.
  • 年度 1994
  • 页码 402 p.
  • 总页数 402
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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