S Li, N Liu, F Li, J Gao, J Ding - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …
R Durall, A Ghanim, MR Fernandez, N Ettrich… - Computers & …, 2023 - Elsevier
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 …
L Lin, Z Zhong, Z Cai, AY Sun, CL Li - Geophysics, 2022 - library.seg.org
Fault identification plays a vital role in geologic structure interpretation, reservoir characterization, and reservoir evaluation. The traditional process for fault identification is …
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 …
Z Tang, B Wu, W Wu, D Ma - Remote Sensing, 2023 - mdpi.com
Seismic fault structures are important for the detection and exploitation of hydrocarbon resources. Due to their development and popularity in the geophysical community, deep …
Y Dou, K Li, J Zhu, T Li, S Tan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …