石油物探2026，Vol.65Issue(5)：871-882,12.DOI:10.12431/issn.1000-1441.2026.0064
基于改进Frangi滤波与级联空间约束的断层识别方法
A fault identification method based on improved Frangi filtering and cascaded spatial constraints
摘要
Abstract
Faults are geologically critical to safe coal mining and hydrocarbon enrichment.Fault identification is crucial for disaster prevention and control,migration pathway characterization,and the construction of geological transparency during exploration and development.To address the limitations of traditional coherence attributes in low signal-to-noise ratio(SNR)data volumes—such as weak fault responses,strong non-structural background interference,and discontinuous fault trajectories—a fault identification method based on an improved Frangi filter and cascaded spatial constraints is proposed.This method achieves fault identification through the synergy of Hessian geometric sharpening,structure tensor soft constraints,and data-driven iterative background suppression.A 2D geological model of coal-bearing strata with dipping complex structures is first constructed,and the effectiveness of the proposed method is verified using forward modeling data.Random noise with different SNRs is then added to the model,and the robustness of the method under low SNR conditions is validated by comparing it with traditional methods,including the Roberts,Canny,and standard Frangi filtering operators.The application to fault identification in actual coalfield seismic data demonstrates that the proposed method exhibits good performance in recovering fault spatial continuity,enhancing boundary convergence,and suppressing background noise.These results provide a reliable geophysical basis for refined fault interpretation under complex structural backgrounds and offer important guidance for achieving the geological transparency of coal mines.关键词
断层识别/改进Frangi滤波/级联空间约束/Hessian矩阵/边缘检测Key words
fault identification/improved Frangi filtering/cascaded spatial constraint/Hessian matrix/edge detection分类
能源科技引用本文复制引用
曹涵博,黄亚平,李建国,程彦..基于改进Frangi滤波与级联空间约束的断层识别方法[J].石油物探,2026,65(5):871-882,12.基金项目
国家自然科学基金项目(42274180,42574191)和国家重点研发计划课题(2021YFC2902003)共同资助. This research is financially supported by the National Natural Science Foundation of China(Grant Nos.42274180,42574191)and the National Key Research and Development Program of China(Grant No.2021YFC2902003). （42274180,42574191）
