With the continuous promotion of domestic gas storage construction, high-quality storage resources are becoming increasingly scarce, but there is still a significant gap in gas storage capacity, and there is an urgent need to actively explore new models for gas storage capacity construction. Utilizing existing or newly developed natural gas reservoirs to achieve coordinated seasonal peak shaving in gas reservoir development has the advantages of fast effectiveness, large scale, and low investment. It is currently an important direction for rapidly improving gas storage capacity. This article uses statistical analysis, numerical simulation and other methods to systematically analyze the impact of different parameters on the evaluation of seasonal peak shaving and selection of natural gas reservoirs from the aspects of geological characteristics, development characteristics, ground characteristics, market characteristics, etc. The main control factors are selected, and grading index evaluation standards are formulated in four levels. A gas reservoir selection evaluation subsystem is developed and integrated into the Sinopec Gas Storage Comprehensive Management Platform Site Selection Optimization Module, achieving iterative upgrading of the Sinopec Gas Storage Comprehensive Management Platform.

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Research on Evaluation Techniques for Seasonal Peak Shaving and Selection of Natural Gas Reservoirs in Production

  • Li-dong Mi

摘要

With the continuous promotion of domestic gas storage construction, high-quality storage resources are becoming increasingly scarce, but there is still a significant gap in gas storage capacity, and there is an urgent need to actively explore new models for gas storage capacity construction. Utilizing existing or newly developed natural gas reservoirs to achieve coordinated seasonal peak shaving in gas reservoir development has the advantages of fast effectiveness, large scale, and low investment. It is currently an important direction for rapidly improving gas storage capacity. This article uses statistical analysis, numerical simulation and other methods to systematically analyze the impact of different parameters on the evaluation of seasonal peak shaving and selection of natural gas reservoirs from the aspects of geological characteristics, development characteristics, ground characteristics, market characteristics, etc. The main control factors are selected, and grading index evaluation standards are formulated in four levels. A gas reservoir selection evaluation subsystem is developed and integrated into the Sinopec Gas Storage Comprehensive Management Platform Site Selection Optimization Module, achieving iterative upgrading of the Sinopec Gas Storage Comprehensive Management Platform.