Study on Compatibility Evaluation of Multilayer Co-Production to Enhance Recovery of Water Flooding in Oil Reservoir

Author:

Tian Leng123,Chai Xiaolong123,Zhang Lei4,Zhang Wenbo5,Zhu Yuan123,Wang Jiaxin123,Wang Jianguo123

Affiliation:

1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China

2. Department of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 102249, China

3. Research Center for Natural Gas Geology and Engineering, China University of Petroleum (Beijing), Beijing 102249, China

4. Tianjin Branch of CNOOC Ltd., Tianjin 300459, China

5. CNOOC Research Institute Ltd. Liability Company, Beijing 100027, China

Abstract

Increasing oil production is crucial for multilayer co-production. When there are significant differences in the permeability of each layer, an interlayer contradiction arises that can impact the recovery efficiency. After a number of tests and the establishment of a mathematical model, the effects of permeability contrast on oil production for water flooding were revealed. In the meantime, the developed mathematical model was solved using the Buckley–Lever seepage equation. Ultimately, the accuracy of the established model was confirmed by comparing the simulated outcomes of the mathematical model with the experimental results. The findings indicate that when permeability contrast increases, the production ratio of the high-permeability layer will improve. This is primarily due to the low-permeability layer’s production contribution rate decreasing. The accuracy of the established model is ensured by an error of less than 5% between the results of the experiment and the simulation. When the permeability contrast is less than three, the low-permeability layer can be effectively used for three-layer commingled production. However, when the permeability contrast exceeds six, the production coefficient of the low-permeability layer will be less than 5%, which has a significant impact on the layer’s development.

Funder

National Natural Science Foundation of China

National Major Science and Technology Projects of China

Publisher

MDPI AG

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