Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal

DOI10.1007/s10596-015-9491-xzbMath1392.86053OpenAlexW240582380MaRDI QIDQ723082

Céline Scheidt, Pejman Tahmasebi, Andrea Da Pra, Marco Pontiggia, Jef Caers

Publication date: 30 July 2018

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

Full work available at URL: https://doi.org/10.1007/s10596-015-9491-x

zbMATH Keywords

Bayesiandistance-based modelingmultiple-point geostatisticsreservoir model updating

Mathematics Subject Classification ID

Geostatistics (86A32) Potentials, prospecting (86A20) Geological problems (86A60)

Related Items (1)

Uncertainty quantification in reservoir prediction. II: Handling uncertainty in the geological scenario

Uses Software

• EnKF
• Silhouettes
• KernSmooth

Cites Work

• Comparing training-image based algorithms using an analysis of distance
• Multiple-point simulations constrained by continuous auxiliary data
• Representing spatial uncertainty using distances and kernels
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Data-dependent bandwidth choice for a grade density kernel estimate
• Modern multidimensional scaling: theory and applications
• A frequency matching method: solving inverse problems by use of geologically realistic prior information
• Equation of State Calculations by Fast Computing Machines
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Updating joint uncertainty in trend and depositional scenario for reservoir exploration and early appraisal