A Novel Intake Inflow Performance Relationship for Optimizing Pump Setting Depth in Low-Permeability Oil Wells
The optimization of pump setting depth in low-permeability oil wells remains a persistent challenge, as conventional inflow performance relationship (IPR) curves fail to capture the coupled effects of downhole pump intake depth and reservoir productivity. To address this limitation, this study proposes a novel Low-Permeability Intake Inflow Performance Relationship (LIIPR) framework. The method establishes a theoretical link between pump depth and production by integrating low-permeability reservoir inflow models with multiphase wellbore flow calculations. On this basis, a series of derivative concepts and analytical tools are introduced, including (i) a three-zone classification of inflow curves to distinguish effective, inefficient, and abnormal production regimes; (ii) a multi-pump-depth analysis to determine the feasible range and optimal boundaries of pump setting depth; and (iii) a three-dimensional deep-pumping limit map that couples inflow and outflow dynamics through nodal analysis, providing a comprehensive criterion for system optimization. The proposed LIIPR methodology enables accurate identification of optimal pump depth and intake pressure conditions, overcoming the ambiguity of traditional IPR-based approaches. Unlike previous IPR- or EIPR-based methods, LIIPR introduces for the first time a unified inflow–outflow coupling framework that quantitatively links pump intake depth with well productivity. This integration represents a novel theoretical and computational advance for deep-pumping optimization in low-permeability reservoirs. Applications for field cases in Shengli Oilfield confirm the theoretical findings and demonstrate the practical potential of the method for guiding efficient deep pumping operations in low-permeability reservoirs.
Authors
- Qionglin Shi (ORCID: https://orcid.org/0000-0002-1184-372X)
- Guoqing Han (ORCID: https://orcid.org/0000-0001-9561-6964)
- Yabo Li (ORCID: https://orcid.org/0000-0002-6104-0773)
- Lei Wang (ORCID: https://orcid.org/0000-0002-5934-8242)
- Bin Liu (ORCID: https://orcid.org/0009-0004-3405-9235)
- Junjian Li (ORCID: https://orcid.org/0000-0002-8105-2878)
- Jin Shu (ORCID: https://orcid.org/0000-0002-0634-2752)
Institutions
- Tangshan College (CN)
- China University of Petroleum, Beijing (CN)
Publication Details
- Journal
- Processes
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3390/pr13103316
- Primary Topic
- Oil and Gas Production Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China