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<p>The well-seismic tie process is critical for integrating well and seismic data to achieve accurate subsurface interpretations. While previous studies have investigated the influence of mud filtrate invasion on well-log responses, its impact on seismic calibration remains a persistent challenge in reservoir characterization. This study builds on existing research by employing Gassmann’s fluid-substitution model and sparse-spike deconvolution to systematically evaluate how mud filtrate alters seismic reflections in both synthetic and real datasets from the Norne field in Norway. Our analysis demonstrates that fluid saturation levels, reservoir porosity, and invasion extent significantly affect P-wave, S-wave, and density measurements, leading to measurable discrepancies in well-seismic correlations. The findings corroborate earlier work showing effects of invasion on elastic properties while providing new insights into wavelet distortion patterns under varying saturation conditions. By quantifying these impacts, our results underscore the need to account for mud filtrate effects in seismic-well calibration workflows to improve the reliability of reservoir models for exploration and production applications.</p>

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Evaluating the mud filtrate on the well-seismic tie and its impacts on elastic properties using Gassmann modeling and sparse-spike deconvolution in the Norne field

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年8月4日

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  • Carlos Eduardo Amanajas Soares,
  • Marcelly Xavier Borges,
  • Herson Oliveida da Rocha,
  • Jose Jadsom Sampaio de Figueiredo

摘要

The well-seismic tie process is critical for integrating well and seismic data to achieve accurate subsurface interpretations. While previous studies have investigated the influence of mud filtrate invasion on well-log responses, its impact on seismic calibration remains a persistent challenge in reservoir characterization. This study builds on existing research by employing Gassmann’s fluid-substitution model and sparse-spike deconvolution to systematically evaluate how mud filtrate alters seismic reflections in both synthetic and real datasets from the Norne field in Norway. Our analysis demonstrates that fluid saturation levels, reservoir porosity, and invasion extent significantly affect P-wave, S-wave, and density measurements, leading to measurable discrepancies in well-seismic correlations. The findings corroborate earlier work showing effects of invasion on elastic properties while providing new insights into wavelet distortion patterns under varying saturation conditions. By quantifying these impacts, our results underscore the need to account for mud filtrate effects in seismic-well calibration workflows to improve the reliability of reservoir models for exploration and production applications.