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<p>Targeting remaining oil-gas prediction challenges in late-stage Chinese oilfield development, this study takes the DF gas field as a case and integrates core, logging, and seismic data to conduct time-lapse seismic petrophysical analysis and forward modeling. Core tests show P- and S-wave velocities decrease with rising gas saturation and pore pressure, with P-wave velocity exhibiting a distinct inflection point at ~40% gas saturation. Model comparisons verify that the calibrated White gas-patch model characterizes gas-bearing reservoir acoustic responses more accurately than the Gassmann model. Single- and multi-factor time-lapse seismic forward modeling reveals that reservoir pressure decline, gas saturation reduction, and gas-water interface rise jointly weaken seismic amplitude energy, resulting in negative time-lapse differences. Further validation via typical single-well forward modeling confirms pressure decline as the dominant control factor for the DF gas field’s time-lapse seismic responses. The established petrophysical interpretation charts and time-lapse difference response patterns provide a reliable theoretical and methodological basis for quantitatively evaluating remaining gas distribution using actual time-lapse seismic data.</p>

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Analysis of Rock Physics Variation Patterns and Time-Lapse Seismic Response Characteristics

  • 期刊论文

  • 发表日期：

    2026年3月1日

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  • Sheng Yang,
  • Xuri Huang,
  • Haoyuan Li,
  • Xiaoqing Cui,
  • Ran Yang,
  • Mengyu Ren

摘要

Targeting remaining oil-gas prediction challenges in late-stage Chinese oilfield development, this study takes the DF gas field as a case and integrates core, logging, and seismic data to conduct time-lapse seismic petrophysical analysis and forward modeling. Core tests show P- and S-wave velocities decrease with rising gas saturation and pore pressure, with P-wave velocity exhibiting a distinct inflection point at ~40% gas saturation. Model comparisons verify that the calibrated White gas-patch model characterizes gas-bearing reservoir acoustic responses more accurately than the Gassmann model. Single- and multi-factor time-lapse seismic forward modeling reveals that reservoir pressure decline, gas saturation reduction, and gas-water interface rise jointly weaken seismic amplitude energy, resulting in negative time-lapse differences. Further validation via typical single-well forward modeling confirms pressure decline as the dominant control factor for the DF gas field’s time-lapse seismic responses. The established petrophysical interpretation charts and time-lapse difference response patterns provide a reliable theoretical and methodological basis for quantitatively evaluating remaining gas distribution using actual time-lapse seismic data.