Course Number
IT-11-25
Title / Theme
Digital Transformation in Refineries (*Updated - 10/16)
Dates
2026.02.03〜2026.02.13
Objectives
For engineers with at least 5 years of experience regarding instrumentation and information systems, to learn the related theory and application of “digital twin technology” and AI technology using deep learning to refineries systematically, and to provide knowledge about the use of the latest ICT.
Main Topics
1. Lecture and Workshop: ・Overview of Japanese petroleum industry ・Basic AI technology (machine learning, neural network, etc.) ・Advanced ICT application (digital twin, etc.) ・Cybersecurity 2. Site visit: ・Refinery: Implementation of DX technology
Application Deadline
2025.12.03
Qualification
Engineers with at least 5 years of experience regarding instrumentation and information systems, or those with equivalent qualifications (including researcher)
Project Report
A training program was conducted for engineers engaged in instrumentation and information system operations at oil companies in various countries. The program was designed to help participants systematically learn the theory and applicationof AI technology utilizing deep learning, as well as to gain insights into the latest ICT applications in refineries.
Host Country
Japan
Participating Countries
Azerbaijan, Indonesia, Kazakhstan, Kuwait, Mexico, Peru, Saudi Arabia, Thailand, United Arab Emirates (UAE), Vietnam
Number of Participants
12
Site Visits
Chiyoda Corporation Headquarters, JGC Corporation Headquarters, ENEOS Corporation: Negishi Refinery, Yokogawa Electric Corporation Headquarters
Others
*Please note that the above details are subject to change.
Report (Japanese)
Report (English)