Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review
Carbon capture, utilisation and storage (CCUS) will play a critical role in future
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
A comparison of classification techniques for seismic facies recognition
During the past decade, the size of 3D seismic data volumes and the number of seismic
attributes have increased to the extent that it is difficult, if not impossible, for interpreters to …
attributes have increased to the extent that it is difficult, if not impossible, for interpreters to …
ADDCNN: An attention-based deep dilated convolutional neural network for seismic facies analysis with interpretable spatial–spectral maps
With the dramatic growth and complexity of seismic data, manual seismic facies analysis has
become a significant challenge. Machine learning and deep learning (DL) models have …
become a significant challenge. Machine learning and deep learning (DL) models have …
The lithofacies and reservoir characteristics of the Upper Ordovician and Lower Silurian black shale in the Southern Sichuan Basin and its periphery, China
C Han, Z Jiang, M Han, M Wu, W Lin - Marine and Petroleum Geology, 2016 - Elsevier
The black shale of the Upper Ordovician and Lower Silurian is a significant target for shale
gas exploration in the Southern Sichuan Basin. In this study, we introduced a lithofacies …
gas exploration in the Southern Sichuan Basin. In this study, we introduced a lithofacies …
Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps
Recent developments in seismic attributes and seismic facies classification techniques have
greatly enhanced the capability of interpreters to delineate and characterize features that are …
greatly enhanced the capability of interpreters to delineate and characterize features that are …
3D structural modeling using seismic data and well logs for Khatatba reservoir in Matruh-Shushan Basin, North Western Desert, Egypt
Middle Jurassic reservoirs present challenges in the northern segment of the Western
Desert due to geometric uncertainties arising from structural configurations, lateral facies …
Desert due to geometric uncertainties arising from structural configurations, lateral facies …
Unsupervised contrastive learning for seismic facies characterization
Seismic facies characterization plays a key role in hydrocarbon exploration and
development. The existing unsupervised methods are mostly waveform-based and involve …
development. The existing unsupervised methods are mostly waveform-based and involve …
Constraining self-organizing map facies analysis with stratigraphy: An approach to increase the credibility in automatic seismic facies classification
Pattern recognition-based seismic facies analysis techniques are commonly used in modern
quantitative seismic interpretation. However, interpreters often treat techniques such as …
quantitative seismic interpretation. However, interpreters often treat techniques such as …
Predicting shale mineralogical brittleness index from seismic and elastic property logs using interpretable deep learning
The mineralogical brittleness index (MBI) of organic-rich shale formations is one of the key
parameters to identify the optimal production well locations and optimize hydraulic …
parameters to identify the optimal production well locations and optimize hydraulic …
Brittleness and microcracks: a new approach of brittleness characterization for shale fracking
With the recent global development of shale gas, geomechanical characterization of shale
plays is now at a critical point, for which brittleness prediction is a key element. Since …
plays is now at a critical point, for which brittleness prediction is a key element. Since …