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September 16, 2025Frontiers in Earth ScienceOpen Access

The research on intelligent evaluation methods for non-sealing faults in reservoirs based on well test analysis

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Authors

YYYiyi YangUniversity of North Carolina WilmingtonBLBoying LiHebei University of TechnologyXWXudong WangNorth Sichuan Medical University

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Overview

This research develops a quantitative evaluation method for non-sealing faults in reservoirs, incorporating XGBoost and PSO algorithms for model refinement.

Key Points

  • The proposed method allows for rapid and precise evaluation of non-sealing faults, enhancing reservoir management and exploitation.
  • Inverted values indicate strong fault connectivity, with the model yielding a fault connectivity coefficient of 0.73 between Well B30Y and Well B1A.
  • The research employs a novel composite reservoir well-test interpretation model with skin effects to improve quantitative fault analysis.
  • Utilization of intelligent algorithms, like XGBoost and PSO, supports advanced characterization of reservoir properties and fault connectivity.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/68d4565b31b076d99fa5b40ehttps://doi.org/10.3389/feart.2025.1659387
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Also Consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Estimation of Permeability and Reservoir Pressure From Bottom Hole Pressure Build-Up Characteristics1950 · 200 citations
  2. 2Effect of a Partially Communicating Fault on Transient Pressure Behavior1987 · 117 citations
  3. 3Pressure Behavior of Laterally Composite Reservoirs1997 · 72 citations