Scholarlink

<p>The fracture system has a certain controlling effect on gas-water distribution, and the seismic precise character of faults is of great significance for well location’s optimization in complex gas-water zones. However, conventional seismic data techniques for fault identification have consistently proven inadequate for finely delineating small-displacement in fracture systems. To address this challenge, this study enhances the visibility of faults and improves fault detection capabilities through post-stack well-seismic joint high-resolution processing technology. Based on this, we adopt the integrated interpretation method of 3D illuminant symmetry body attributes and dip-oriented likelihood body attributes to achieve accurate prediction of small-displacement. The findings demonstrate that the post-stack well-seismic joint high-resolution processing method effectively boosts the spectral quality of seismic data while preserving subtle signals within fracture zones, making faults more pronounced. The fusion interpretation method utilizing 3D illuminant symmetry and dip-oriented likelihood body attributes offers clearer fault energy, more accurate fault character depiction, improved identification of small faults, and simplified integration of fault plane, thereby reducing uncertainty of the identification results. This technology was successfully applied in the Sulige Gas Field, firstly achieving the detailed characterization of small faults in its western region. It resolved the long-standing difficulty of identifying small-displacement faults in this area, providing critical support for the exploration and development of gas-water complex zones in the western Sulige Gas Field and similar research areas.</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

Precise identification of faults research based on expanding frequency seismic data

  • 期刊论文

  • 发表日期：

    2025年8月19日

查看全文
  • Si Guo,
  • Hai-Sang Ban,
  • Tian-Wen Hu,
  • Chong Han,
  • Yu Peng,
  • Di Zhao,
  • Zong-Wei Wu

摘要

The fracture system has a certain controlling effect on gas-water distribution, and the seismic precise character of faults is of great significance for well location’s optimization in complex gas-water zones. However, conventional seismic data techniques for fault identification have consistently proven inadequate for finely delineating small-displacement in fracture systems. To address this challenge, this study enhances the visibility of faults and improves fault detection capabilities through post-stack well-seismic joint high-resolution processing technology. Based on this, we adopt the integrated interpretation method of 3D illuminant symmetry body attributes and dip-oriented likelihood body attributes to achieve accurate prediction of small-displacement. The findings demonstrate that the post-stack well-seismic joint high-resolution processing method effectively boosts the spectral quality of seismic data while preserving subtle signals within fracture zones, making faults more pronounced. The fusion interpretation method utilizing 3D illuminant symmetry and dip-oriented likelihood body attributes offers clearer fault energy, more accurate fault character depiction, improved identification of small faults, and simplified integration of fault plane, thereby reducing uncertainty of the identification results. This technology was successfully applied in the Sulige Gas Field, firstly achieving the detailed characterization of small faults in its western region. It resolved the long-standing difficulty of identifying small-displacement faults in this area, providing critical support for the exploration and development of gas-water complex zones in the western Sulige Gas Field and similar research areas.