Scholarlink

<p>The Bassein Formation, a key hydrocarbon-bearing unit in Western Offshore India, comprises interbedded limestone, dolostone, and shale, leading to complex pore structures and variable texture. This variability challenges the ability of any single rock physics model to satisfactorily replicate the in situ elastic response of such formations. To address this shortcoming, the present study adopts a multi-model approach, comparing Gassmann's model with two Differential Effective Medium (DEM) variants, DEMSA-G (single aspect ratio) and DEMIA-G (inverted aspect ratio), to evaluate their effectiveness in modeling seismic velocities after fluid substitution. Well logs dataset from the Bassein formation were used to estimate elastic properties across various lithologies. Results reveal that while Gassmann's model performs better in more homogeneous lithofacies (e.g., Mudstone/Packstone) with correlation coefficients up to 0.9, DEM models offer improved predictions in heterogeneous intervals (e.g., Wackestone/Packstone with Shale), achieving correlation coefficients up to 0.64. These findings highlight the importance of integrating multiple models to account for lithological and pore-structure variability, ultimately enhancing the accuracy of in situ elastic property prediction and supporting more effective hydrocarbon exploration and recovery strategies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Sensitivity of pore characterization aided effective medium modeling for seismic property prediction in complex carbonates of western offshore India

  • 期刊论文

  • 发表日期：

    2026年3月10日

查看全文
  • Hirakjyoti Kalita,
  • Ravi Sharma,
  • Prabhat Pandey,
  • Piyush Yadav,
  • Nitin Nagarkoti,
  • Ashish Dhiman,
  • Ankita Kukshal

摘要

The Bassein Formation, a key hydrocarbon-bearing unit in Western Offshore India, comprises interbedded limestone, dolostone, and shale, leading to complex pore structures and variable texture. This variability challenges the ability of any single rock physics model to satisfactorily replicate the in situ elastic response of such formations. To address this shortcoming, the present study adopts a multi-model approach, comparing Gassmann's model with two Differential Effective Medium (DEM) variants, DEMSA-G (single aspect ratio) and DEMIA-G (inverted aspect ratio), to evaluate their effectiveness in modeling seismic velocities after fluid substitution. Well logs dataset from the Bassein formation were used to estimate elastic properties across various lithologies. Results reveal that while Gassmann's model performs better in more homogeneous lithofacies (e.g., Mudstone/Packstone) with correlation coefficients up to 0.9, DEM models offer improved predictions in heterogeneous intervals (e.g., Wackestone/Packstone with Shale), achieving correlation coefficients up to 0.64. These findings highlight the importance of integrating multiple models to account for lithological and pore-structure variability, ultimately enhancing the accuracy of in situ elastic property prediction and supporting more effective hydrocarbon exploration and recovery strategies.