2022 - AVEVA PI World Amsterdam - Oil and Gas
Experiences in Migrating the PI System Infrastructure to Azure - INPEX
This presentation mainly describes how INPEX Corporation fully migrated PI System infrastructure in Japan to Microsoft Azure with an aim of not only mitigating workloads required for maintenance, but also optimizing the overall corporate IT infrastructure. Together with the main theme of the migration, since INPEX will give a first presentation at PI World, the entire architecture of PI System across INPEX group, including INPEX Australia, will also be introduced. Initially conceived as an Enterprise Historian, the role and criticality of the PI System changed significantly. The PI System has especially been playing an essential role during the commissioning of Ichthys LNG - requiring a re-implementation of PI System infrastructure to meet the zero data loss philosophy.
Naoto Yamabe is a Process Control Engineer with over 10 years of experience in Oil and Gas industry. Naoto joined INPEX Corporation in 2012 after he earned a master s degree of Chemical Engineering.
It was natural that he started his career as Process Engineer. He was involved in major LNG projects through which he demonstrated his proficiency not only in conventional scheme of process engineering but also in advanced techniques of automation.
In 2016, he joined Ichthys LNG project which was expected to be ranked among the most significant oil and gas projects in the world. At this point, he started a next stage of his career Process Control Engineer in Operations, and as a power user he got the most out of PI System for successful start-up of massive offshore facilities.
Since 2019, he has been in charge of PI System development in Digital Transformation Group, collaborating with both internal and external IT professionals for further growth of INPEX group.
Kohei Kawamura is a Reservoir Engineer with eight years of experience in Oil and Gas industry. Kohei joined INPEX Corporation in 2014 after he earned a master s degree in Petroleum Production Engineering.
He has mainly supervised contractors to acquire oil/gas wells borehole data for improving well production performance in domestic fields as well as overseas fields. He has been responsible for analyzing 40 years oil production data of a mature reservoir in an Abu Dhabi offshore field. He has conducted this analysis with a business intelligence tool, and suggested some development scenarios to increase oil production.
Based on these data related experiences, he has started solution engineering works in IT department last year. He is currently in charge of PI administration, instructing how to use the system and enhancing analyses with advanced PI functions. He manages a machine learning infrastructure in order to cooperate efficiently between data scientists and system engineers.