LUO Xianbo, CHANG Huijiang, LEI Yuan, et al. Application status and development direction of optimal injection allocation method for water injection wells[J]. Petroleum Reservoir Evaluation and Development, 2023, (2): 223-232.
DOI:
LUO Xianbo, CHANG Huijiang, LEI Yuan, et al. Application status and development direction of optimal injection allocation method for water injection wells[J]. Petroleum Reservoir Evaluation and Development, 2023, (2): 223-232. DOI: 10.13809/j.cnki.cn32-1825/te.2023.02.011.
Application status and development direction of optimal injection allocation method for water injection wells
There is a lack of uniformity and standardization of the existing optimal injection allocation method. Therefore
three key parameters involved in the optimization of water injection well allocation
which are longitudinal splitting coefficient
plane splitting coefficient and injection-production ratio
are taking as the breakthrough point. And then
the research on the allocation optimization of injection wells by the scholars at home and abroad is summarized. Finally
the calculation method of injection well allocation suitable for differ
ent occasions is obtained. On this basis
a new idea of optimizing injection allocation for water injection wells is proposed with the oil production wells as the center. This new idea emphasizes that for the optimal injection allocation of the water injection wells
the optimal injection parameter calculation method should be selected according to different geological reservoir characteristics
oilfield development stages
injection accuracy and other factors
so that to make the oilfield optimized water injection effect best. After this method is applied to the field test
a good development effect is achieved with a daily oil increase of up to 10 %(daily oil increase of 20 m
3
) in the block. In general
the optimization of water injection direction in the future must be the integration of reservoir and oil production engineering with the water injection scheme design
intelligent optimization and synchronous adjustment are the core based on artificial intelligence. The proposed optimized injection well allocation method has guiding significance for the water injection work of different types of oilfields at different stages of development.