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Article | Open Access

Assessment of Carboniferous Volcanic Horizontal Wells after Fracturing Based on Gray Correlation, Hierarchical Analysis and Fuzzy Evaluation

Junwei Han1Guohua Li1Wu Zhong1Yuchen Yang1Maoheng Li2,3Zhiwei Chen2,3Ruichang Ge2,3Lijuan Huang2,3( )
No.1 Oil Production Plant of Xinjiang Oilfield, Karamay, 834000, China
Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering (Yangtze University), Wuhan, 430100, China
School of Petroleum Engineering, Yangtze University, Wuhan, 430100, China
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Abstract

A comprehensive method to evaluate the factors affecting the production capacity of horizontal wells in Carboniferous volcanic rocks after fracturing is investigated. A systematic approach combining gray correlation analysis, hierarchical analysis and fuzzy evaluation is proposed. In particular, first the incidence of reservoir properties and fracturing parameters on production capacity is assessed. These parameters include reservoir base geological parameters (porosity, permeability, oil saturation, waterproof height) as well as engineering parameters (fracture half-length, fracture height, fracture conductivity, fracture distance). Afterwards, a two-by-two comparison judgment matrix of sensitive parameters is constructed by means of hierarchical analysis, and the weighting coefficients of the factors are determined, where oil saturation, fracture conductivity and fracture half-length are weighted higher. Finally, the horizontal wells in the target block are categorized in terms of production capacity based on the fuzzy evaluation method, and split accordingly into high-producing, relatively high-producing, medium-producing and low-producing wells. Such a categorization is intended to provide parametric guidance for reservoir fracturing and modification.

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Fluid Dynamics & Materials Processing
Pages 2757-2773

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Cite this article:
Han J, Li G, Zhong W, et al. Assessment of Carboniferous Volcanic Horizontal Wells after Fracturing Based on Gray Correlation, Hierarchical Analysis and Fuzzy Evaluation. Fluid Dynamics & Materials Processing, 2024, 20(12): 2757-2773. https://doi.org/10.32604/fdmp.2024.056130

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Received: 15 July 2024
Accepted: 12 September 2024
Published: 31 December 2024
© The Author 2024.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.