Downhole quantitative evaluation of gas kick during deepwater drilling with deep learning using pilot-scale rig data
Gas kick occurs frequently during deep-water drilling operations caused by the lack of safe
margin between pore pressure and leakage pressure. The existing research is limited to gas …
margin between pore pressure and leakage pressure. The existing research is limited to gas …
Self-attention fully convolutional densenets for automatic salt segmentation
3-D salt segmentation is important for many research topics spanning from exploration
geophysics to structural geology. In seismic exploration, 3-D salt segmentation is directly …
geophysics to structural geology. In seismic exploration, 3-D salt segmentation is directly …
Accurate identification of salt domes using deep learning techniques: Transformers, generative artificial intelligence and liquid state machines
K Souadih, A Mohammedi… - Geophysical …, 2024 - Wiley Online Library
Across various global regions abundant in oil and natural gas reserves, the presence of
substantial sub‐surface salt deposits holds significant relevance. Accurate identification of …
substantial sub‐surface salt deposits holds significant relevance. Accurate identification of …
[图书][B] Data-Driven Modeling and Prediction for Reservoir Characterization and Simulation Using Seismic and Petrophysical Data Analyses
X Zhou - 2020 - search.proquest.com
This study explores the application of data-driven modeling and prediction in reservoir
characterization and simulation using seismic and petrophysical data analyses. Different …
characterization and simulation using seismic and petrophysical data analyses. Different …
Automatic Fault Segmentation Using Wavelet Convolutional Neural Networks
This study presents a novel neural network model to explore its application in automatically
interpreting subsurface faults from seismic images. A Wavelet Convolutional Neural Network …
interpreting subsurface faults from seismic images. A Wavelet Convolutional Neural Network …