Structural optimization of downhole axial-flow cyclone separation pipe string

Single-well injection-production technology (SWIPT) is an effective solution for the economic development of high-water-cut oilfields, with downhole oil-water separation playing a crucial role in ensuring its efficient operation. In order to meet the 5.5-inch casing size requirements of onshore oilf...

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Veröffentlicht in:Process safety and environmental protection Jg. 200; S. 107332
Hauptverfasser: Jiang, Minghu, Li, Xinya, Xing, Lei, Zhao, Lixin, Liu, Duo, Guan, Shuai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.08.2025
Schlagworte:
Oil-water separation
Optimization algorithm
Performance analysis
Single-well injection-production technology
Structural optimization
Oil-water separation
Optimization algorithm
Performance analysis
Structural optimization
Single-well injection-production technology
ISSN:0957-5820
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Zusammenfassung:Single-well injection-production technology (SWIPT) is an effective solution for the economic development of high-water-cut oilfields, with downhole oil-water separation playing a crucial role in ensuring its efficient operation. In order to meet the 5.5-inch casing size requirements of onshore oilfields and enhance the separation performance of single-well injection-production technology, a dual-pump suction single-well injection-production technology (DPS-SWIPT) was innovatively proposed, and an axial-flow cyclone separation pipe string (AFCSPS) was designed. The significance of structural parameters affecting the AFCSPS separation performance is calculated based on the Plackett-Burman (PB) design method. Response surface methodology (RSM) and artificial intelligence (AI) algorithms were employed to optimize the structural parameters of the cyclone separation pipe strings. A multivariate response mathematical model has been developed to quantitatively describe the relationship between structural parameters and separation efficiency. A comparison of the optimization methods reveals that the sparrow search algorithm back propagation neural networks-genetic algorithm (SSABP-GA) optimization algorithm yields the best results, with the value of separation efficiency reaching 99.93 %. The separation efficiency of the hydrocyclone remained above 95.38 % across various operating and physical parameters, indicating that the optimal structure demonstrates a high degree of adaptability within the studied range. Numerical simulations and experimental results show good agreement for oil core morphology and separation efficiency, within an average efficiency error of 1.48 %. The study can provide support and reference for the application of the equipment in downhole oil-water separation technology. [Display omitted]
ISSN:0957-5820
DOI:10.1016/j.psep.2025.107332