Work

Unlocking the Potential of AI in Revolutionizing the Seismic-Driven Subsurface Workflows

Year: 2024

Type: conference-paper

DOI: 10.2118/222114-ms

Authors: A. Abubakar, T. Zhao, W. Hu, L. Lau

Institutions: Schlumberger (United States), Microsoft (United States)

Language: English

Topic: Seismic Imaging and Inversion Techniques

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4404014409

FWCI: 3.998

Cites: 22

Cited by: 1

Related to: 10