The DB1 well block in Penglai Gas Field has accumulated controlled reserves of 238.653 billion cubic meters, demonstrating promising development potential. However, the gas reservoir exhibits two major paradoxes: “substantial gas layer thickness with low productivity” and “large reserve base with poor quality”, resulting in unclear understanding of reservoir percolation mechanisms, ambiguous main controlling factors for well productivity, and undefined movable reserve distribution. This study employs physical simulation methods for strongly heterogeneous gas reservoirs, integrates dynamic-static reservoir characterization, and establishes field-scale physical property lower limit charts under varying production pressure differentials and reservoir thicknesses considering economic viability. The research clarifies productivity variation patterns and dominant control factors across different reservoir types, ultimately determining the physical property thresholds required for cost-effective development. Key findings: (1) Core depletion experiments reveal productivity evolution patterns of different reservoir types, indicating preferential utilization of high-quality reservoirs during early stages. Combined with actual drilling correlation analysis, the primary productivity control factor is identified as high-quality reservoir thickness. (2) Core productivity simulation experiments elucidate flow characteristics (including threshold pressure gradient, Darcy flow, and non-Darcy flow) of different reservoir types under various pressure differentials. Field-scale physical property lower limit charts are developed to determine economic viability thresholds under different development scenarios. This research enriches the methodology for early productivity analysis and movable reserve evaluation in deep carbonate strongly heterogeneous gas reservoirs, providing crucial support for development potential assessment and optimal production planning.

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Research on Main Controlling Factors of Early Productivity and Movable Reserve Evaluation in Deep Carbonate Strongly Heterogeneous Gas Reservoirs: A Case Study of the DB1 Well Block in Penglai Gas Field

  • Zhenglin Mao,
  • Lianjin Zhang,
  • Xixiang Liu,
  • Fei-Zhang,
  • Xucheng Li,
  • Li-Chen

摘要

The DB1 well block in Penglai Gas Field has accumulated controlled reserves of 238.653 billion cubic meters, demonstrating promising development potential. However, the gas reservoir exhibits two major paradoxes: “substantial gas layer thickness with low productivity” and “large reserve base with poor quality”, resulting in unclear understanding of reservoir percolation mechanisms, ambiguous main controlling factors for well productivity, and undefined movable reserve distribution. This study employs physical simulation methods for strongly heterogeneous gas reservoirs, integrates dynamic-static reservoir characterization, and establishes field-scale physical property lower limit charts under varying production pressure differentials and reservoir thicknesses considering economic viability. The research clarifies productivity variation patterns and dominant control factors across different reservoir types, ultimately determining the physical property thresholds required for cost-effective development. Key findings: (1) Core depletion experiments reveal productivity evolution patterns of different reservoir types, indicating preferential utilization of high-quality reservoirs during early stages. Combined with actual drilling correlation analysis, the primary productivity control factor is identified as high-quality reservoir thickness. (2) Core productivity simulation experiments elucidate flow characteristics (including threshold pressure gradient, Darcy flow, and non-Darcy flow) of different reservoir types under various pressure differentials. Field-scale physical property lower limit charts are developed to determine economic viability thresholds under different development scenarios. This research enriches the methodology for early productivity analysis and movable reserve evaluation in deep carbonate strongly heterogeneous gas reservoirs, providing crucial support for development potential assessment and optimal production planning.