Determination of Dynamic Drainage Volume in Water-Flood Operations Based on Fluid Flow Velocity Field Delineation
| Autor: | Qihao Qian, Chengfang Shi, Xiang Zhao, John Yilin Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Flood myth Petroleum engineering Renewable Energy Sustainability and the Environment Mechanical Engineering Energy Engineering and Power Technology Drainage volume 03 medical and health sciences Permeability (earth sciences) 0302 clinical medicine Fuel Technology Geochemistry and Petrology 030220 oncology & carcinogenesis Fluid dynamics Vector field Geology 030304 developmental biology |
| Zdroj: | Journal of Energy Resources Technology. 143 |
| ISSN: | 1528-8994 0195-0738 |
| Popis: | Dynamic drainage volume is a useful measure in evaluating well completions, well spacing, and water-flood operations. It is usually approximated with a two-dimensional circle or a three-dimensional (3D) box that encloses a well using empirical correlations and production/injection volumes. While this approximation may be convenient, it certainly is not a good estimation for the effective and dynamic drainage volume, which is key for improved recovery. This paper proposes a new method to compute dynamic drainage volumes based on reservoir simulation results. A 3D fluid flow velocity field is first generated and then visualized as a function of time. Through velocity thresholding, one can delineate flow regions, and accurately and parsimoniously determine well drainage in water-flood operations. Our new method was proven to be more efficient and practical as demonstrated in a field-based synthetic model with nine injectors and 16 producers formed as an inverted five-spot water-flood pattern commonly used in the field, and a benchmark SPE 9 model. The novelty of the method lies in that a 3D fluid velocity field is generated to determine dynamic drainage volume. Our new method could be applied to optimize well placement and improve well operation, and finally increase the production in a heuristic, instructive, and cost-effective manner to maximize the estimated ultimate recovery. |
| Databáze: | OpenAIRE |
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