Machine learning applications in subsurface energy resource management: state of the art and future prognosis
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032074528
Date de publication :
27 déc. 2022
Dimensions :
22,9 x 15,2 cm
Poids :
860 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for machine learning applications in subsurface energy resource management (e.g., oil and gas, geologic carbon sequestration, geothermal energy).