Work

Optimizing Hydrogen Storage in the Subsurface Using a Reservoir-Simulation-Based and Deep-Learning-Accelerated Optimization Method

Year: 2024

Type: conference-paper

Source: SPE Annual Technical Conference and Exhibition

DOI: 10.2118/220865-ms

Authors: Esmail Eltahan, Deema J. Albadan, Mojdeh Delshad, Kamy Sepehrnoori, Faruk Omer Alpak

Institutions: The University of Texas at Austin, Shell (United States)

Language: English

Topic: Reservoir Engineering and Simulation Methods

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W4402668185

FWCI: 4.079

Cites: 41

Cited by: 4

Related to: 10