Hydraulic Fracturing and Reservoir Analysis Open access Peer reviewed

Multiphase Semi-Empirical Productivity Evaluation Method of Shale Reservoir Based on Production Performance and Flow Mechanism

Rui Wang, He Liu

Processes | May 26, 2026

Abstract

Abstract

The complex fracture networks, multiphase flow behavior, and nonlinear flow mechanisms induced by hydraulic fracturing in horizontal wells of shale oil reservoirs pose significant challenges to production evaluation. In this study, a semi-empirical productivity evaluation method for multiphase shale oil systems is developed by integrating production dynamics with flow mechanisms. Three-phase productivity equations for oil, gas, and water are established, explicitly incorporating the underlying flow mechanisms. A nonlinear flow index is introduced to characterize both the stress sensitivity of fractures and the threshold pressure gradient in the matrix. Key unknown parameters, including oil saturation, water cut, stimulated reservoir volume, and nonlinear coefficients, are determined through history matching of production data. The impacts of geological properties, fracturing parameters, operating conditions, and nonlinear flow parameters on oil–gas productivity are systematically investigated using the proposed multiphase semi-empirical model. The model is validated against production data from fractured horizontal wells in a field case, demonstrating its accuracy and applicability. Furthermore, the model enables reliable production forecasting based on the derived productivity relationships. The proposed approach provides a practical and efficient tool for rapid post-fracturing productivity evaluation in shale oil reservoirs.

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Authors

Researchers on this paper

Rui Wang

first | Daqing Oilfield General Hospital | ORCID 0009-0000-8693-9788

He Liu

last | Daqing Oilfield General Hospital

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Citation

BibTeX

@article{Wang2026Multiphase,
  title = {Multiphase Semi-Empirical Productivity Evaluation Method of Shale Reservoir Based on Production Performance and Flow Mechanism},
  author = {Rui Wang and He Liu},
  journal = {Processes},
  year = {2026},
  doi = {10.3390/pr14111733},
  url = {https://doi.org/10.3390/pr14111733}
}

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