A methodology for analyzing production data on gas and oil extraction after hydraulic fracturing (HF) is presented. It allows for determining reservoir parameters, calculating hydrocarbon reserves, and forecasting production. The analysis is carried out using analytical and numerical methods, with the latter providing higher accuracy. For transient flow conditions, a two-zone model is proposed that accounts for fracture productivity and parameters. The concept of a “super well” is introduced to optimize the design process and improve hydraulic fracturing efficiency. This approach enables the selection of optimal parameters to achieve maximum economic benefits from HF operations. The methodology provides a detailed framework for evaluating reservoir performance post-fracturing, improving connectivity, and predicting long-term production behavior. By incorporating this model into project planning, operators can enhance recovery rates and reduce operational risks, ensuring economic feasibility and improved efficiency of hydrocarbon extraction.

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Mathematical Modeling and Assessment of the Productivity of Horizontal Wells with Multistage Hydraulic Fracturing

  • Dovlet Orazmuhamedov,
  • Serdar Agalyyev,
  • Muhammet Rahmanov

摘要

A methodology for analyzing production data on gas and oil extraction after hydraulic fracturing (HF) is presented. It allows for determining reservoir parameters, calculating hydrocarbon reserves, and forecasting production. The analysis is carried out using analytical and numerical methods, with the latter providing higher accuracy. For transient flow conditions, a two-zone model is proposed that accounts for fracture productivity and parameters. The concept of a “super well” is introduced to optimize the design process and improve hydraulic fracturing efficiency. This approach enables the selection of optimal parameters to achieve maximum economic benefits from HF operations. The methodology provides a detailed framework for evaluating reservoir performance post-fracturing, improving connectivity, and predicting long-term production behavior. By incorporating this model into project planning, operators can enhance recovery rates and reduce operational risks, ensuring economic feasibility and improved efficiency of hydrocarbon extraction.