A Strategy to Achieve 1 Mmbopd National Oil Production Target By Implementation of Artificial Intelligence Algorithm to Accelerate The Exploration Process

Abstract

Based on the latest data released by the Special Task Force for Upstream Oil and Gas Business Activities (SKK Migas), the average production per day of national oil and gas in 2021 was recorded at 0.66 million BOPD (Barrels Oil Per Day), while the Indonesian government targets the production of 1 million BOPD. The challenges to meet target are mainly due to declining production, pandemic (operational issues), unplanned shutdowns and limited exploration activities. The objective of this paper is to design an algorithm to accelerate the exploration process. A workflow consisting of strategy to meet the target of 1 MMBOPD national oil production by using AI (Artificial Intelligence) is developed. Critical variables such as licensing (permit), appraisal, conceptual screening, G&G survey, POD, drilling, logistic and infrastructure are all identified then weighed to ensure uncertainties are controlled. Based on these variables input, the algorithm is developed with additional looping process and data training to ensure that the output of decision making is reliable. As conclusion, Big Data and AI strategies are capable to provide real-time insights that help to consider the next steps more accurately in every process to accelerate exploration phase. The use of AI can enhance the exploration phase and also aligns with business strategy of planning and investment and reduces any possible uncertainties.