[图书][B] Value of information in the earth sciences: Integrating spatial modeling and decision analysis

J Eidsvik, T Mukerji, D Bhattacharjya - 2015 - books.google.com
Gathering the right kind and the right amount of information is crucial for any decision-
making process. This book presents a unified framework for assessing the value of potential …

A mathematical approach to design verification strategies that incorporate corrective activities as dedicated decisions

P Xu, A Salado - IEEE Open Journal of Systems Engineering, 2022 - ieeexplore.ieee.org
System verification activities (VAs) are used to identify potential errors and corrective
activities (CAs) are used to eliminate those errors. However, existing math-based methods to …

Building Bayesian networks from basin-modelling scenarios for improved geological decision making

G Martinelli, J Eidsvik, R Sinding-Larsen… - Petroleum …, 2013 - lyellcollection.org
Basin models are used to gain insights about a petroleum system, and to simulate
geological processes required to form oil and gas accumulations. The focus of such …

Dynamic decision making for graphical models applied to oil exploration

G Martinelli, J Eidsvik, R Hauge - European Journal of Operational …, 2013 - Elsevier
We present a framework for sequential decision making in problems described by graphical
models. The setting is given by dependent discrete random variables with associated costs …

Probability elicitation using geostatistics in hydrocarbon exploration

AL Morosov, RB Bratvold - Computational Geosciences, 2021 - Springer
The exploratory phase of a hydrocarbon field is a period when decision-supporting
information is scarce while the drilling stakes are high. Each new prospect drilled brings …

Simulation–regression approximations for value of information analysis of geophysical data

J Eidsvik, G Dutta, T Mukerji, D Bhattacharjya - Mathematical geosciences, 2017 - Springer
Value of information analysis is useful for helping a decision maker evaluate the benefits of
acquiring or processing additional data. Such analysis is particularly beneficial in the …

[HTML][HTML] Price stress testing in offshore oil field development planning

G Lei, V Hagspiel, M Stanko - Energy, 2023 - Elsevier
Oil & gas field development planning has the objectives of maximizing economic value and
also mitigating potential risk. An optimal development concept and strategy depend on the …

Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration

G Martinelli, J Eidsvik - Knowledge-Based Systems, 2014 - Elsevier
The paper considers the problem of optimal sequential design for graphical models. Oil and
gas exploration is the main application. Here, the outcomes at prospects or reservoir units …

[PDF][PDF] Fire risk analysis in FLNG processing facility using Bayesian network

H Ibrahim, P Rao - Journal of Engineering Science and …, 2019 - jestec.taylors.edu.my
Natural gas processing is always a high-risk operation in the floating liquefied natural gas
facility (FLNG). This facility is considerably prone to unfavourable accidents, especially fires …

A sequential dynamic Bayesian network for pore-pressure estimation with uncertainty quantification

RH Oughton, DA Wooff, RW Hobbs… - …, 2018 - pubs.geoscienceworld.org
Pore-pressure estimation is an important part of oil-well drilling because drilling into
unexpected highly pressured fluids can be costly and dangerous. However, standard …