Jakarta, INTI - Artificial Intelligence (AI) is beginning to enter oil and gas drilling operations, driving a shift in workforce roles from manual supervision toward decision-making supported by digital systems. The technology is increasingly being utilized to enhance workplace safety and operational risk management.
Avep Disasmita, President Director of PT Pertamina Drilling Services Indonesia (Pertamina Drilling), revealed that AI implementation is now being applied to support occupational safety systems and Process Safety Management (PSM) within the oil and gas industry, particularly in drilling operations. He shared this during the seminar titled “The Role of Artificial Intelligence in Supporting Occupational Safety Management Systems (SMK3) & Process Safety Management (PSM) in Industry” held at Hotel Bidakara, as quoted on Monday, May 25, 2026.
In his presentation, Avep explained that AI development creates opportunities for the drilling industry to improve workplace safety, operational efficiency, and real-time data-driven decision-making.
According to him, the adoption of AI technology is part of the company’s operational transformation strategy aimed at strengthening safety standards while maintaining drilling productivity.
“The implementation of AI within Pertamina Drilling rigs represents one of the company’s transformation steps to improve safety standards and operational productivity. This technology supports monitoring processes, predictive maintenance, and faster, more accurate work risk mitigation,” Avep stated.
AI Begins Reshaping Work Patterns in Drilling Operations
Avep explained that AI implementation in drilling operations is not solely focused on efficiency, but is also increasingly used to supervise field activities.
The technology can assist in monitoring the use of personal protective equipment (PPE), analyzing potential hazards, and detecting conditions that could potentially lead to workplace safety risks at an early stage.
According to him, these developments indicate that workers in the oil and gas industry are gradually shifting toward roles centered on supervision, data interpretation, and decision-making supported by digital systems.
He added that AI-driven transformation is not merely an industry technology trend, but part of broader efforts to build more reliable, safer, and sustainable oil and gas operations.
“The oil and gas industry faces increasingly complex challenges. Therefore, the use of AI has become a strategic solution to strengthen safety culture while improving company competitiveness,” he said.
Risk Monitoring Considered Faster and More Data-Driven
On the same occasion, VP HSSE of Pertamina Drilling, Mas Rakhmatsyah, stated that AI implementation in Health, Safety, Security, and Environment (HSSE) systems can help companies improve risk monitoring and analysis capabilities more comprehensively.
According to him, AI technology can accelerate hazard identification processes while also supporting evaluations of incidents occurring in operational areas.
“AI can help identify potential hazards earlier, accelerate incident investigations, and improve the effectiveness of SMK3 and PSM implementation in the field,” Mas Rakhmatsyah explained.
He added that AI-based technologies also contribute to building a more adaptive and data-driven workplace safety culture.
Energy Industry Encourages Digital Transformation Collaboration
The seminar also featured several national energy industry players discussing experiences related to digital transformation and technology implementation in the energy sector.
Among the speakers were Indra Pehulisa Sembiring, President Director of Pertagas, and Taufik Adityawarman, Vice President Director of Pertamina Patra Niaga.
The event became part of broader efforts to encourage cross-sector collaboration in responding to technology-driven industrial developments while strengthening workplace safety implementation across Indonesia’s industrial sector.
Conclusion
The adoption of AI in Indonesia’s oil and gas drilling industry is transforming operational processes, workplace safety systems, and workforce roles. By leveraging data-driven technologies for monitoring, predictive maintenance, and risk mitigation, the industry aims to build safer, more efficient, and sustainable operations while preparing workers for a more digital-driven future.
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