This course covers the fundamental principles of economics and engineering related to petroleum reservoirs. This course will review the concepts of petroleum reserves, the time value of money and their applications for evaluating investment situations. These techniques can be used to systematically qualify the relative economic merits of investment opportunities.

During this course, a number of analytical, empirical and numerical methods for estimating volumetric performances of petroleum reservoirs under uncertainties will be discussed. Field case studies will be provided to illustrate the field application of the petroleum economic evaluations and project investment decision-making concepts, methods, processes and practices

This course is designed for project engineers, geoscientists, reservoir engineers, production engineers, petroleum engineers, planning and development analysts, business planner, and senior to executive managers.

Environmental Management refers to the process of overseeing and regulating an organization’s activities, resources, and policies to ensure they align with environmental sustainability goals, minimize negative impacts on the environment, and comply with relevant regulations and standards. It involves systematic planning, implementation, monitoring, and improvement of practices to protect and conserve natural resources while maintaining or improving operational efficiency.

Environmental management is essential across various sectors, including industries, agriculture, construction, and service sectors, as it contributes to sustainable development and helps mitigate the negative impacts of human activities on the planet’s ecosystems. Organizations that effectively implement environmental management practices can achieve improved operational efficiency, reduced costs, enhanced reputation, and contribute positively to environmental conservation.

This course, Data-Driven Decision Making (DDDM) teaches an approach to making choices, setting strategies, and solving problems based on empirical evidence and data. It involves everaging data analytics, statistical analysis, and data visualization techniques to derive insights and inform decision-making processes across various domains and industries.

Decision-making models are structured approaches or frameworks used to systematically analyze and process information in order to make choices or reach conclusions. These models help individuals or groups navigate through complex situations by breaking down the decision-making process into manageable steps.

This course is designed for project engineers, geoscientists, reservoir engineers, production engineers, petroleum engineers, Inspectorate NUPRC, planning and development analysts, business planners, and managers.