Titlebook: Value of Information and Flexibility; Making Decisions Und Martin J. Vilela,Gbenga F. Oluyemi Book 2022 The Editor(s) (if applicable) and T

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Utility Theory,es and producing one average result; In this chapter, the need to incorporate the decision-maker’s risk attitude in the valuation process is introduced. We discuss the utility function for representing the decision-maker’s risk attitude and describe several risk attitude behaviours. The concept of a

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Probability and Inference Theory,ning the most important concepts of probability used later during the decision-making workflows. A section is dedicated to Bayes’ theorem, which is used later, in Chap. ., for developing the value of information assessment. Concepts of random sampling and statistical inference are also introduced fo

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Probabilistic Evaluation of Uncertainties: Monte Carlo Method,ainties in the variables (reservoir permeability, porosity, etc.) impact the future performance of the system (for example, a well’s oil rate) and, in general, the project valuation (oil price, material cost, etc.). Monte Carlo simulation is a procedure used to randomly account for uncertainties and

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Case Studies for the Value of Information and Flexibility in the Oil and Gas Industry,ng the decision maker’s risk attitude. The second case study shows an example of the value of flexibility in an oil development example. The third case study uses the design of experiments methodology to optimize the value of information assessment. Finally, the fourth case study incorporates the da

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Book 2022ormation and value of flexibility are explored as a means to make more complex and nuanced decisions..The book develops the complete formalism for assessing the value of acquiring information with two novel approaches. Firstly, it integrates the fuzzy characteristics of data, and secondly develops a