This new Handbook provides a series of reference guides to cleaner production methods, technologies, and practices for key industry sectors. Each volume covers, for each industry sector: * the manufacturing technologies * waste management * pollution * methods for estimating and reporting emissions * treatment and control technologies * worker and community health risk exposures * cost data.. Within the petroleum sector, the Norwegian administrative design of separated functions is seen as the best practice model, even though it has been shown that a lack of institutional quality and political stability is not a prerequisite for good oil sector performance (Thurber et al., 2011 ).
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Description. Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward.. As the oil and gas industry becomes increasingly complex, the requirements for petroleum engineers—and petroleum engineering education—are changing.. Participants in PEDHA meetings have shared best practices in attracting students to study petroleum engineering after the downturn, while addressing issues such as climate change and.
