Identification of Key Parameters for Fracturing and Driving Oil in Low-Permeability Offshore Reservoirs Based on Fuzzy Analytic Hierarchy Process and Numerical Simulation

The fracturing and driving oil technology used in shale oil provides a new approach for the development of offshore low-permeability reservoirs. However, the main control role of technical parameters is unclear, resulting in unsatisfactory accuracy and effectiveness of the enhanced oil recovery plan. For this reason, this study is based on the production and process data of five wells in the WZ oilfield. Fuzzy analytic hierarchical process analysis method (FAHP) was used to evaluate the parameter weights. Combined with numerical simulation technology, the evaluation results were verified by geological-engineering integration. The results show that in offshore low-permeability oilfields, the reservoir pressure coefficient has the greatest influence on the fracturing and oil repelling effect. The comprehensive weight reaches 0.450 compared to not adopting hydraulic fracturing oil displacement technology. This improves the recovery rate by 10.19% in 5 years. The surfactant concentration and the residual oil saturation of the reservoir rank are second, with a comprehensive weight of 0.219. Finally is the effective thickness of the reservoir, with a comprehensive weight of 0.113. In this study, the key parameters of fracturing and oil repelling in offshore low-permeability reservoirs are clarified. It provides theoretical basis and practical support for improving the success rate of well selection, layer selection and recovery capacity.

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Publication Details

Journal
Processes
Published
2025-10-16
DOI
https://doi.org/10.3390/pr13103312
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Key Parameters for Fracturing and Driving Oil in Low-Permeability Offshore Reservoirs Based on Fuzzy Analytic Hierarchy Process and Numerical Simulation

Yanfei Zhou, Yan Ge, Zhandong Li, Dianju Wang et al.
Processes
Reservoir Engineering and Simulation Methods
article

Identification of Key Parameters for Fracturing and Driving Oil in Low-Permeability Offshore Reservoirs Based on Fuzzy Analytic Hierarchy Process and Numerical Simulation

Yanfei Zhou, Yan Ge, Zhandong Li, Dianju Wang, Haixiang Zhang, Lingtong Liu
article en

Abstract

The fracturing and driving oil technology used in shale oil provides a new approach for the development of offshore low-permeability reservoirs. However, the main control role of technical parameters is unclear, resulting in unsatisfactory accuracy and effectiveness of the enhanced oil recovery plan. For this reason, this study is based on the production and process data of five wells in the WZ oilfield. Fuzzy analytic hierarchical process analysis method (FAHP) was used to evaluate the parameter weights. Combined with numerical simulation technology, the evaluation results were verified by geological-engineering integration. The results show that in offshore low-permeability oilfields, the reservoir pressure coefficient has the greatest influence on the fracturing and oil repelling effect. The comprehensive weight reaches 0.450 compared to not adopting hydraulic fracturing oil displacement technology. This improves the recovery rate by 10.19% in 5 years. The surfactant concentration and the residual oil saturation of the reservoir rank are second, with a comprehensive weight of 0.219. Finally is the effective thickness of the reservoir, with a comprehensive weight of 0.113. In this study, the key parameters of fracturing and oil repelling in offshore low-permeability reservoirs are clarified. It provides theoretical basis and practical support for improving the success rate of well selection, layer selection and recovery capacity.

ProcessesVol. 13(10)
Northeast Petroleum University (CN), China National Petroleum Corporation (China) (CN)
Natural Science Foundation of Hainan Province, Northeast Petroleum University
Openalex Percentile: Top 64%
Reservoir Engineering and Simulation Methods
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