Permeability Estimation Using Machine Learning Techniques for a Heterogeneous Mud Dominated Carbonate Reservoir, Offshore UAE
DR Contreras Perez, C Sellar, A Valente - SPE EuropEC-Europe …, 2023 - onepetro.org
Abstract The implementation of Artificial Intelligence and Machine Learning algorithms has
introduced the opportunity for alternative techniques to estimate permeability within uncored …
introduced the opportunity for alternative techniques to estimate permeability within uncored …
Uncertainty and Sensitivity of Permeability Models
R Farmer - Abu Dhabi International Petroleum Exhibition and …, 2023 - onepetro.org
Quantifying and managing uncertainty leads to improved project and business performance,
robust decision making, increased chance of success, fewer surprises and optimised …
robust decision making, increased chance of success, fewer surprises and optimised …
Machine Learning-Assisted Petrophysical Rock Type Classification and Permeability Estimation with Flow Zone Indicators
The main objective of this study is to derive petrophysical characteristics and predict
petrophysical rock types (PRT) from a well log from the Volve Field Dataset, using …
petrophysical rock types (PRT) from a well log from the Volve Field Dataset, using …
A Complex Morphologically Regular Pore Network Model to Study Water Retention Curve of Hydrate-Bearing Sediments
M Chen, Q Li, X Lyu, W Pang, Q Fu, C Lyu… - SPE EuropEC-Europe …, 2023 - onepetro.org
Water retention curve essentially determined by pore throat morphology, wettability, pore
connectivity and so on has a close relationship with many physical properties of hydrate …
connectivity and so on has a close relationship with many physical properties of hydrate …