Pipeline risk assessment using artificial intelligence: A case from the colombian oil network
Year: 2017
Type: article
Source: Process Safety Progress
DOI: 10.1002/prs.11890
Authors: Alexander Guzman Urbina, Atsushi Aoyama
Institution: Ritsumeikan University
Language: English
Topic: Risk and Safety Analysis
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: closed
OpenAlex ID: W2604424019