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<p>High-resolution gravity and magnetic parameters play a vital role in revealing geological structures and processes. This study focuses on assessing different boundary-detection filters to improve the interpretation of gravity features in the Triassic area of the Algerian Sahara. This study expands upon the latest developments in boundary filters, which have been classified into derivatives-based, phase characteristics-based, and statistical/sliding techniques. Employing 2.5D models of synthetic gravity parameters, various boundary filters were implemented across different scenarios, including noise contamination, to evaluate their effectiveness in delineating geological features. The findings indicate that the innovative mixed-class filters, including IL, SF, ILTHG, LTHG, and FSED, surpassed conventional methods by effectively detecting both shallow and deep structural boundaries while minimizing noise interference. Subsequently, these filters were utilized on actual gravity parameters from the Triassic province, uncovering important insights into the structural framework and geodynamic features of the area. The results indicate that employing a comparative multi-filter method significantly improves the resolution and accuracy of geological interpretations, thereby aiding in better structural and resource assessment in the Algerian Saharan region. Future investigations will incorporate these boundaries enhancement filters and inversion algorithms to yield highly resolved structural interpretations derived from potential field parameters.</p>

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Comparative evaluation of amplitude and phase filters for the delineation of structural trends within the Triassic region, Algerian Sahara

  • 期刊论文

  • 发表日期：

    2026年7月21日

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  • Mebarek Hacid,
  • Oualid Melouah,
  • Ebong Dickson Ebong,
  • Nabile Chabour

摘要

High-resolution gravity and magnetic parameters play a vital role in revealing geological structures and processes. This study focuses on assessing different boundary-detection filters to improve the interpretation of gravity features in the Triassic area of the Algerian Sahara. This study expands upon the latest developments in boundary filters, which have been classified into derivatives-based, phase characteristics-based, and statistical/sliding techniques. Employing 2.5D models of synthetic gravity parameters, various boundary filters were implemented across different scenarios, including noise contamination, to evaluate their effectiveness in delineating geological features. The findings indicate that the innovative mixed-class filters, including IL, SF, ILTHG, LTHG, and FSED, surpassed conventional methods by effectively detecting both shallow and deep structural boundaries while minimizing noise interference. Subsequently, these filters were utilized on actual gravity parameters from the Triassic province, uncovering important insights into the structural framework and geodynamic features of the area. The results indicate that employing a comparative multi-filter method significantly improves the resolution and accuracy of geological interpretations, thereby aiding in better structural and resource assessment in the Algerian Saharan region. Future investigations will incorporate these boundaries enhancement filters and inversion algorithms to yield highly resolved structural interpretations derived from potential field parameters.