Data Analytics Applications in Oil and Gas Industry in Indonesia: Some Implementation in SKK Migas and Pertamina Hulu Rokan (PHR)

Abstract

The application of data analytics becomes a growing trend in the Oil and Gas Industry. The implementation of digital transformation relying on Artificial Intelligence and Data Science such as Machine Learning, etc. is increasingly being found in various sectors in the upstream oil and gas industry and is even expected to contribute more portion in the future. In Indonesia, where upstream oil and gas industry still gives significant contribution to the country income, the growing trend of the data analytics drives the business process improvement by transforming the conventional approaches into new ways based on data sciences in order to raise effectiveness and efficiency.

As one of the strategic institutions, which is responsible for managing the upstream oil and gas industry in Indonesia, SKK Migas has succeeded in developing an Integrated Operation Center (IOC), which integrates monitoring systems of Production Sharing Contract (PSC) Operators data all over Indonesia. Not only carrying out the monitoring function, the IOC has also a role as collaborative support to encourage the development of digital transformation in SKK Migas and PSC Operators towards a center of operational excellence. In carrying out its mission, SKK Migas cooperates with all PSC operators in Indonesia to gradually modernize the automation technology, build integrated dashboards and systems as well as encourage the data analytics into real program implementation that can create value and improve business process.

This paper summarizes the digital innovation based on data analytics applications developed in the upstream oil and gas industry in Indonesia, which concentrates on a pilot project in SKK Migas and several application summaries of Pertamina Hulu Rokan (PHR). Derived from the IOC roadmap which places the data analytics as ultimate objective of the future development, an Oil Production & Lifting Data Analytics System which involves the data science as a prediction tool is built in order to realize the vision into reality. The system has successfully unified the puzzles of the lifting operational data which simplifies the evaluation and analysis into dashboards to speed up the decision making process. The next cases describe some data science applications developed by Pertamina Hulu Rokan (formerly Chevron Pacific Indonesia) starting from building Integrated Optimisation Decision Support Center (IODSC) as data science center of expertise. It consists of some applications involving data analytics like Integrated and Real-Time Prediction and Prevention Tool to Prevent Oil Congealing and Production Loss, that has been successfully reducing the congeal issue in Rokan block. Likewise with other application using Artificial Intelligence approach, it has been successfully developed to automate the classification of dynamometer card for rod pump failure identification. Another application that is no less advanced is the implementation of fuzzy logic to analyze ESP performance with limited surveillance data. It succeeds to detect ESP failure symptoms using limited surveillance data.