[PDF][PDF] Deep convolutional neural networks for seismic salt-body delineation
Salt-bodies are important subsurface structures with significant implications for hydrocarbon
accumulation and sealing in offshore petroleum reservoirs, and accurate salt-body imaging …
accumulation and sealing in offshore petroleum reservoirs, and accurate salt-body imaging …
Patch-level MLP classification for improved fault detection
Fault detection and interpretation has been one of the routine tools used for subsurface
structure mapping and reservoir characterization from three-dimensional (3D) seismic data …
structure mapping and reservoir characterization from three-dimensional (3D) seismic data …
Improving seismic fault detection by super-attribute-based classification
Fault interpretation is one of the routine processes used for subsurface structure mapping
and reservoir characterization from 3D seismic data. Various techniques have been …
and reservoir characterization from 3D seismic data. Various techniques have been …
Integrated modelling of CO2 plume geothermal energy systems in carbonate reservoirs: Technology, operations, economics and sustainability
The rising CO 2 content in the atmosphere calls for urgent decarbonization efforts. Carbon
capture and storage (CCS) have proven effective in storing large volumes of CO 2 in …
capture and storage (CCS) have proven effective in storing large volumes of CO 2 in …
Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification
D seismic interpretation is essential for subsurface characterization and exploration. Many
existing interpretation techniques have been developed for identifying certain seismic …
existing interpretation techniques have been developed for identifying certain seismic …
Seismic structural curvature volume extraction with convolutional neural networks
Structural curvatures are widely used seismic attributes that help interpreters to understand
both structural and stratigraphic features. Traditional structural curvature extractions are …
both structural and stratigraphic features. Traditional structural curvature extractions are …
3D seismic flexure analysis for subsurface fault detection and fracture characterization
Seismic flexure is a new geometric attribute with the potential of delineating subtle faults and
fractures from three-dimensional (3D) seismic surveys, especially those overlooked by the …
fractures from three-dimensional (3D) seismic surveys, especially those overlooked by the …
Volumetric aberrancy to map subtle faults and flexures
X Qi, K Marfurt - Interpretation, 2018 - pubs.geoscienceworld.org
One of the key tasks of a seismic interpreter is to map lateral changes in surfaces, not only
including faults, folds, and flexures, but also incisements, diapirism, and dissolution features …
including faults, folds, and flexures, but also incisements, diapirism, and dissolution features …
Fault detection in seismic data using graph convolutional network
Generally, seismic data have discontinuity or planar fracture anomalies in the volume of
rocks, commonly known as seismic faults. A large number of methods exist to interpret …
rocks, commonly known as seismic faults. A large number of methods exist to interpret …
Fault detection from a large perspective with transformers
C Zhou, Y Fei, D Li, X He, H Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Fault detection is one of the core tasks in fault interpretation, which is of great significance to
the study of underground oil and gas transport and reservoir distribution. In recent years …
the study of underground oil and gas transport and reservoir distribution. In recent years …