Classification and Evaluation Method for Complex Near-Surface Facies in Front of the Longmen Mountains
Метод классификации и оценки сложных приповерхностных фаций у подножия хребта Лунмэнь
2026-03-13
SCID: 54.1/wux6cyry
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Longmen Mountainsclassification and evaluation workflowcomplex piedmont zoneslow-velocity layersnear-surface facies
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Abstract (AI)
The near-surface of complex piedmont zones exhibits strong heterogeneity with significant variations in the thickness and velocity of low-velocity layers, which constitute key technical challenges in seismic exploration. This study proposes the concept, connotation and evaluation framework of near-surface facies, establishes a complete classification and evaluation workflow, and accurately divides the study area into 9 categories and 22 types of near-surface facies. The characteristics and spatial variation laws of near-surface facies are clarified from three dimensions, providing technical support for optimizing seismic exploration parameters. This research addresses the exploration challenges in the Longmen Mountains area and offers a valuable reference for similar studies in complex piedmont zones.
Key Findings
1
Addresses exploration challenges in the Longmen Mountains and offers a reference methodology for similar complex piedmont zones.
2
Clarifies three-dimensional characteristics and spatial variation laws of near-surface facies for the study area.
3
Establishes a complete classification and evaluation workflow that divides the study area into 9 categories and 22 near-surface facies types.
4
Proposes the concept, connotation, and an evaluation framework for near-surface facies in complex piedmont zones.
5
Provides technical support for optimizing seismic exploration parameters by characterizing near-surface facies heterogeneity.
Research Object
Near-surface facies in the piedmont zone in front of the Longmen Mountains
Research Subject
Classification, characterization, spatial variation laws and evaluation of near-surface facies (thickness and velocity variations of low-velocity layers) to inform seismic exploration parameter optimization
Publication Details
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2026-03-13
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