Energy infrastructure: Investment, sustainability and AI

This paper provides theoretical and methodological underpinnings for optimal investment decisions in the oil & gas industry. In doing so, this paper investigates how to transition from intuitive investment decisions to processing big data. AI and flexible and interactive databases allow for rationalizing decision-making and avoiding randomly insufficiently high environmental effects of investment projects. The corporate responsibility of the oil & gas industry enterprises will be subject to quantitative measurement, statistical accounting, and broad state and public monitoring. The perspectives of the oil & gas industry must connect to the systemic of projects in sustainable development and digitalization. The paper recommends acquiring collections of companies' interactive profiles to manage this industry on big data processing and AI technologies. The analysis supports the necessity for “green” regulation, the development of “smart” dataset monitoring controlled by AI and enterprises’ corporate responsibility subjected to quantitative measurement, statistical accounting, and broad public tracking. •This paper provides theoretical and methodological underpinnings for optimal investment decisions in the oil & gas industry.•The corporate responsibility of the oil & gas industry enterprises will be subject to quantitative measurement.•The paper recommends acquiring collections of companies' interactive profiles to manage this industry on big data processing.•The paper advocates acquiring collections of companies' interactive profiles of qualitative and quantitative information.