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A Multi-Parameter Integrated Model for Shale Gas Re-Fracturing Candidate Selection

1Citations signalées, ce qui n’est pas une note de qualité
2Institutions déclarées
1Pays d’affiliation déclarés

Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

With the continuous advancement of shale gas field development, well productivity following initial hydraulic fracturing often declines due to mechanisms such as proppant embedment and fracture conductivity degradation. However, such wells may still retain significant development potential, making re-fracturing crucial for restoring production and highlighting the critical importance of accurate candidate selection for re-fracturing. To improve the precision of candidate well selection for re-fracturing in shale gas wells, this study focuses on a shale gas block in the Southern Chuan Basin. Through comparative analysis of existing selection methods, 14 key parameters were finalized. The threshold values for some of these key parameters were recalibrated based on the specific geological, engineering, and production characteristics of the target block in the Southern Chuan Basin. Furthermore, the AHP-GRA (Analytic Hierarchy Process-Gray Relational Analysis) weighting method was integrated to achieve a balance between empirical knowledge and quantitative objectivity. Ultimately, a more targeted, comprehensive, and combined subjective–objective methodology for selecting re-fracturing candidate wells was developed. A computational tool developed in Python 3.9 was utilized to evaluate 13 candidate wells in the block, successfully identifying three high-priority wells for re-fracturing implementation. The reliability of this selection result was validated by analyzing production data before and after re-fracturing, confirming that the production performance of the selected wells showed relatively significant improvement post re-fracturing, with a notable increase in recovery factor. This model provides critical decision-making support for the low-cost and large-scale development of shale gas. It holds significant theoretical and practical value for promoting the secondary development of mature shale gas wells and contributes positively to the efficient utilization of unconventional natural gas resources and energy security.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
A Multi-Parameter Integrated Model for Shale Gas Re-Fracturing Candidate Selection
Date Crossref
19/12/2025
Éditeur
MDPI AG
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Où se fait cette recherche

  • China National Petroleum Corporation (China) pays non établi dans la notice
    Entreprise
  • China University of Petroleum pays non établi dans la notice
    Université ou école supérieure
  • PetroChina Chuanqing Drilling Engineering Company Limited Shale Gas Exploration and Development Project Management Department pays non établi dans la notice
    Entreprise
  • College of Petroleum Engineering pays non établi dans la notice
    Université ou école supérieure

China National Petroleum Corporation (China), China University of Petroleum et Shale Gas Exploration and Development Project Management Department — PetroChina Chuanqing Drilling Engineering Company Limited, avec 1 autre affiliation.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Hydraulic Fracturing and Reservoir AnalysisAtmospheric and Environmental Gas DynamicsHydrocarbon exploration and reservoir analysis

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