Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2022
Genre:	Naturwissensch., Medizin, Technik
	Automatic control engineering / COMPUTERS / Data Science / Data Modeling & Design / COMPUTERS / Machine Theory / data-driven modeling / deep learning for reservoir simulation / Energy technology & engineering / Energy technology and engineering / field development optimization / Geochemistry / geologic carbon storage / machine learning / multiphase flow analysis / surrogate modeling / TECHNOLOGY & ENGINEERING / Chemical & Biochemical / TECHNOLOGY & ENGINEERING / Civil / General / TECHNOLOGY & ENGINEERING / Materials Science / General / TECHNOLOGY & ENGINEERING / Petroleum / TECHNOLOGY & ENGINEERING / Power Resources / Fossil Fuels / Uncertainty Quantification mehr...
ISBN:	9781032074528
EAN-Code:	9781032074528
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 229 mm / B 152 mm / D
Gewicht:	860 gr
Seiten:	360
Illustration:	schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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).