Information gathering in Bayesian networks applied to petroleum prospecting

DOI10.1007/s11004-015-9616-8zbMath1397.86032OpenAlexW1727394248MaRDI QIDQ1789173

Ragnar Hauge, Marie Lilleborge, Jo Eidsvik

Publication date: 10 October 2018

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10852/53711

zbMATH Keywords

entropyinformation measuredesign of experimentpetroleum explorationdata acquisition

Mathematics Subject Classification ID

Geostatistics (86A32) Statistical aspects of information-theoretic topics (62B10) Potentials, prospecting (86A20)

Related Items (2)

Simulation-regression approximations for value of information analysis of geophysical data ⋮ Efficient designs for Bayesian networks with sub-tree bounds

Uses Software

• EnviroStat

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The value of information in spatial decision making
• Dynamic decision making for graphical models applied to oil exploration
• Object-oriented Bayesian networks for a decision support system for antitrust enforcement
• Statistical analysis of environmental space-time processes.
• Optimal Sequential Exploration: Bandits, Clairvoyants, and Wildcats
• On a Measure of the Information Provided by an Experiment
• Bayesian Networks and Decision Graphs
• Optimal Value of Information in Graphical Models
• An Exact Algorithm for Maximum Entropy Sampling
• Exchange algorithms for constructing large spatial designs
• On the measure of the information in a statistical experiment

This page was built for publication: Information gathering in Bayesian networks applied to petroleum prospecting