Comprehensive evaluation of deliquification efficiency in complex gas wells with multiple criteria: from transient response to full life cycle

This study develops a comprehensive multi-criteria evaluation framework for assessing deliquification efficiency in complex gas wells, integrating static and dynamic parameters across the full life cycle. A classification system using the Analytic Hierarchy Process (AHP) categorizes wells into three classes based on normalized and entropy-weighted indicators. An evaluation model incorporating 11 indicators assesses short-, medium-, and long-term performance via an entropy-weighted grey correlation model and TOPSIS method, yielding a comprehensive score (Ci). Field applications demonstrate tailored strategies: Class I wells (Ci ≥ 0.65) employ pressure-controlled production with nanoparticle foam; Class II wells (0.45 ≤ Ci < 0.65) use composite foam deliquification and cycle optimization; Class III wells (Ci < 0.45) require acid descaling and artificial lift. Results show optimized wells achieve 15%–40% higher production efficiency and a 22% improvement in EUR prediction accuracy, supporting effective deliquification in unconventional gas fields.

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Publication Details

Journal
Petroleum Science and Technology
Published
2026-06-25
DOI
https://doi.org/10.1080/10916466.2026.2691524
Primary Topic
Hydraulic Fracturing and Reservoir Analysis
Type
article
Field-Weighted Citation Impact
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article

Comprehensive evaluation of deliquification efficiency in complex gas wells with multiple criteria: from transient response to full life cycle

Mengyi Wang, Weikai Liu, H F Liu, Hui Li et al.
Petroleum Science and Technology
Hydraulic Fracturing and Reservoir Analysis
article

Comprehensive evaluation of deliquification efficiency in complex gas wells with multiple criteria: from transient response to full life cycle

Mengyi Wang, Weikai Liu, H F Liu, Hui Li, Hao Yuan, Jiaxiang Liu, Jiang Beibei, Shuai Jing, Xiaofang Bai
article en

Abstract

This study develops a comprehensive multi-criteria evaluation framework for assessing deliquification efficiency in complex gas wells, integrating static and dynamic parameters across the full life cycle. A classification system using the Analytic Hierarchy Process (AHP) categorizes wells into three classes based on normalized and entropy-weighted indicators. An evaluation model incorporating 11 indicators assesses short-, medium-, and long-term performance via an entropy-weighted grey correlation model and TOPSIS method, yielding a comprehensive score (Ci). Field applications demonstrate tailored strategies: Class I wells (Ci ≥ 0.65) employ pressure-controlled production with nanoparticle foam; Class II wells (0.45 ≤ Ci < 0.65) use composite foam deliquification and cycle optimization; Class III wells (Ci < 0.45) require acid descaling and artificial lift. Results show optimized wells achieve 15%–40% higher production efficiency and a 22% improvement in EUR prediction accuracy, supporting effective deliquification in unconventional gas fields.

Petroleum Science and Technology
Southwest Petroleum University (CN), Xi'an Shiyou University (CN), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN), Research Institute of Petroleum Exploration and Development (CN), Petroleum Technology Company (Norway) (NO), Shaanxi Research Design Institute of Petroleum and Chemical Industry (CN), Shaanxi Yanchang Petroleum (China) (CN), Geological Exploration Institute of Shandong Zhengyuan (CN)
Responsible consumption and production
Openalex Percentile: Top 12%
Hydraulic Fracturing and Reservoir Analysis
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