Work

Wellbore Stability Uncertainty Quantification Using a Bayesian Machine Learning Framework

Year: 2024

Type: conference-paper

Source: SPE Annual Technical Conference and Exhibition

DOI: 10.2118/220771-ms

Authors: Peng L. Ray, John R. Tipton, S. Cheng, Devin Francom

Institutions: Chevron (United States), Los Alamos National Laboratory

Language: English

Topic: Drilling and Well Engineering

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4402668335

FWCI: 0.962

Cites: 12

Cited by: 1

Related to: 10