Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
A deep learning-based data-driven approach for predicting mining water inrush from coal seam floor using micro-seismic monitoring data
H Yin, G Zhang, Q Wu, S Yin… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Microseismic monitoring during mining operations generates spatiotemporal data that could
indicate strata fractures and deformations leading to water inrush anomalies. However …
indicate strata fractures and deformations leading to water inrush anomalies. However …
Seismic fault identification based on multi-scale dense convolution and improved Long Short-Term Memory network
L Guo, R Xiong, J Zhao, H Wang, Z Chen, X Zou - IEEE Access, 2023 - ieeexplore.ieee.org
Aiming at the local, global and temporal morphological characteristics of faults in seismic
profiles, this paper proposes the MCD-ABiLSTM method for fault identification. The method …
profiles, this paper proposes the MCD-ABiLSTM method for fault identification. The method …