Application of a dynamic optimization-based multi-attribute fusion method for fault detection.

ABSTRACT: The focus of oil and gas exploration in the Tarim Basin has shifted from interlayers to fracture-controlled karsts. A significant oilfield characterized by strike-slip faults was discovered in the Yueman area. However, identifying such fault zones is challenging because of the complex and chaotic seismic reflection characteristics, as well as the presence of seismic noise and other discontinuities. To improve oilfield production, the accurate identification of strike-slip fault zones in ultradeep tight limestone is a critical issue. The seismic anomalies of such fault zones exhibit diverse characteristics, with the low-velocity zone of the fault causing a "beaded" reflection pattern. Traditional coherent and curvature attribute methods have large errors in identifying strike-slip faults an

SUBMITTER: Ma C 

PROVIDER: S-EPMC11913290 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature