The subject of this book is uncertainty assessments as a basis for decision-making and improved regularity management. The book and PhD thesis is an attempt to contribute to 1) a further development of the predictive, Bayesian approach to risk and uncertainty, with respect to both the implication of applying the approach and to increase its area of application, and 2) to increase the understanding and application of regularity analyses. Proposals to frameworks for characterizing regularity, expressing uncertainty, making use of expert judgments and qualifying technology have been developed, and it is shown how a unified and holistic approach for various perspectives on regularity management is suitable for the application of this doctorial dissertation, i.e. the petroleum industry. The book consists of two parts. Part I provides an introduction to the scientific fundation. Part II consists of five papers covering various aspects of regularity analyses and decision-making under uncertainty. The work was given the "PhD of the year" award by the Society of Petroleum Engineers in Stavanger, Norway.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.