The Role of Predictive Analytics and Machine Learning in Enhancing Safety and Environmental Sustainability in Oil and Gas Operations

Traditionally, the oil and gas industry has been victim to the hazards of operation, environmental challenges, and an unstable market condition. Artificial intelligence (AI), and more specifically predictive analytics and machine learning (ML), have taken the industry by storm in the last decade by creating opportunities for proactive and sustainable decision- making. This journal discusses the application, benefits, and challenges associated with the integration of predictive analytics and ML within oil and gas operations. Through the examination of different cases and real data sets, the paper emphasizes how safety and environmental hazards reduction are aspects that can be improved by operational improvements through these technologies. Later, the implementation challenges relating to data quality, infrastructure, and workforce readiness are discussed. The paper ends with some recommendations concerning industry-wide implementations and the future of AI and sustainability in oil and gas.