An Investigation of Mechanistic Foam Modeling for Optimum Field Development of CO2 Foam EOR Application
| Autor: | Mohammad Izadi, Hazem Fleifel, Doris Ortiz Maestre, Phuc H. Nguyen, Seung Ihl Kam |
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| Rok vydání: | 2021 |
| Předmět: |
Fuel Technology
020401 chemical engineering Petroleum engineering Energy Engineering and Power Technology Environmental science Geology Field development 02 engineering and technology 0204 chemical engineering 010502 geochemistry & geophysics 01 natural sciences 0105 earth and related environmental sciences |
| Zdroj: | SPE Reservoir Evaluation & Engineering. 24:475-494 |
| ISSN: | 1930-0212 1094-6470 |
| DOI: | 10.2118/205494-pa |
| Popis: | SummaryWhile there are a number of mechanistic foam models available in the literature, it still is not clear how such models can be used to guide actual field development planning in enhanced oil recovery (EOR) applications. This study aims to develop the framework to determine the optimum injection condition during foam EOR processes by using a mechanistic foam model. The end product of this study is presented in a graphical manner, based on the sweep-efficiency contours (from reservoir simulations) and the reduction in gas mobility (from mechanistic modeling of foams with bubble population balance).The main outcome of this study can be summarized as follows: First, compared to gas/water injection with no foams, injection of foams can improve cumulative oil recovery and sweep efficiency significantly. Such a tendency is observed consistently in a range of total injection rates tested (low, intermediate, and high total injection rates Qt). Second, the sweep efficiency is more sensitive to the injection foam quality fg for dry foams, compared to wet foams. This proves how important bubble-population-balance modeling is to predict gas mobility reduction as a function of Qt and fg. Third, the graphical approach demonstrates how to determine the optimum injection condition and how such an optimum condition changes at different field operating conditions and limitations (i.e., communication through shale layers, limited carbon dioxide (CO2) supply, cost advantage of CO2 compared to surfactant chemicals, etc.). For example, the scenario with noncommunicating shale layers predicts the maximum sweep of 49% at fg = 55% at high Qt, while the scenarios with communicating shale layers (with 0.1-md permeability) predicts the maximum sweep of only 40% at fg = 70% at the same Qt. The use of this graphical method for economic and business decisions is also shown, as an example, to prove the versatility and robustness of this new technique. |
| Databáze: | OpenAIRE |
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