3D Visualization and Rendering of geostatistical Property Distributions and Flow Fields
Abstract/Contents
- Abstract
- Miscible flooding is one of the techniques for Enhanced Oil Recovery in the petroleum industry. When high mobility fluid is injected into a less mobile fluid, viscous fingering occurs. There are many factors which influence the fingering behavior and many studies have been conducted. One factor is the presence of heterogeneities and to calculate its effects on fingering is very difficult. This paper will discuss, in the presence of fingering with unit mobility ratio and permeability data, how well the fingering behavior with mobility ratio ten can be predicted. The goal of the paper is to give engineers or scientists a rough picture of fingering with high mobility ratio derived from a low mobility ratio calculation.The rest of this paper is organized as follows. Section 2 is the comparison of concentration data versus permeability data. In section 3, we also compare concentration data with different mobility ratios. Section 4 introduces the program for the simulation. The program design methodology and algorithm are also included in this section. Section 5 covers all the simulation program features with some examples. This section can be used as a user manual reference. We will discuss the simulation results and output display in section 6. In the last section, some concluding remarks are given.
Description
Type of resource | text |
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Date created | January 1994 |
Creators/Contributors
Author | Yip, Kee Luen |
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Primary advisor | Hewett, Thomas A. |
Degree granting institution | Stanford University, Department of Petroleum Engineering |
Subjects
Subject | School of Earth Energy & Environmental Sciences |
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Genre | Thesis |
Bibliographic information
Access conditions
- Use and reproduction
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Preferred citation
- Preferred Citation
- Yip, Kee Luen. (1994). 3D Visualization and Rendering of geostatistical Property Distributions and Flow Fields. Stanford Digital Repository. Available at: https://purl.stanford.edu/vj026vt0170
Collection
Master's Theses, Doerr School of Sustainability
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