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Academic Journal of Environment & Earth Science, 2024, 6(1); doi: 10.25236/AJEE.2024.060105.

Intelligent Prediction Technology for Inter-well Connectivity Paths in Deep Fracture-type Reservoirs


Yihang Song1,2

Corresponding Author:
Yihang Song

1School of Earth Sciences and Engineering, Xi’an Shiyou University, Xi’an, China

2Shaanxi Key Laboratory of Petroleum Accumulation Geology, Xi’an Shiyou University, Xi’an, China


As oilfield development advances, the issue of inter-well connectivity in deep fracture-type reservoirs becomes increasingly prominent. To effectively address this problem, this study investigates intelligent prediction technology for inter-well connectivity paths in deep fracture-type reservoirs. By analyzing geological and development characteristics, the technology explores the water invasion patterns between wells. It applies intelligent prediction methods to determine inter-well connectivity, predict the direction of water injection effectiveness, and optimize the deployment of injection and production wells. The results indicate that this technology significantly enhances the accuracy of inter-well connectivity prediction, providing robust support for efficient oilfield development.


Deep fracture-type reservoirs; Inter-well connectivity paths; Intelligent prediction technology

Cite This Paper

Yihang Song. Intelligent Prediction Technology for Inter-well Connectivity Paths in Deep Fracture-type Reservoirs. Academic Journal of Environment & Earth Science (2024), Vol. 6, Issue 1: 34-38. https://doi.org/10.25236/AJEE.2024.060105.


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[2] Zhang Zhenkun, Zhang Dongmei, Kang Zhijiang, Jiang Wenbin, Liu Kunyan. (2023). Design of Multi-Objective Search Algorithm for Three-Dimensional Inter-Well Connectivity Paths in Fracture-Controlled Cavity Reservoirs. Earth Science, (08), 3031-3043.

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