Automated seismic fault interpretation has been an active area of research. Since 2018,
Deep learning (DL) based seismic fault interpretation methods have emerged and shown …

Delineating seismic faults is one of the main steps in seismic structure interpretation.
Recently, deep learning (DL) models are used to automatic seismic fault interpretation. For …

Seismic reflection utilizes sound waves transmitted into the subsurface, reflected at rock
boundaries, and recorded at the surface. Interpretation of their travel times and amplitudes …

Fault detection is a fundamental and important research topic in automatic seismic
interpretation since the geometry of faults usually reveals the accumulation and migration of …

Seismic data processing involves techniques to deal with undesired effects that occur during
acquisition and pre-processing. These effects mainly comprise coherent artefacts such as …

Fault identification plays a vital role in geologic structure interpretation, reservoir
characterization, and reservoir evaluation. The traditional process for fault identification is …

裂缝是致密碳酸盐岩储层的重要渗流通道, 影响油藏开发效果. 由于裂缝的地球物理响应弱且
复杂, 使得裂缝预测困难. 在深度挖掘地震属性中裂缝特征信息的基础上, 建立了基于人工智能的 …

Fault analysis plays an important role in determining the location of potential CO2 storage
sites in which long-term storage feasibility is critical. The presence of faults and fracture …

Seismic fault structures are important for the detection and exploitation of hydrocarbon
resources. Due to their development and popularity in the geophysical community, deep …

Data-driven fault detection has been regarded as a 3-D image segmentation task. The
models trained from synthetic data are difficult to generalize in some surveys. Recently …