Simultaneous estimation of geologic and reservoir state variables within an ensemble-based multiple-point statistic framework

DOI10.1007/s11004-013-9504-zzbMath1323.86024OpenAlexW2115786260MaRDI QIDQ887566

Haiyan Zhou, Sanjay Srinivasan, Liangping Li, J. Jaime Gómez-Hernández

Publication date: 26 October 2015

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

Full work available at URL: http://hdl.handle.net/10251/52671

zbMATH Keywords

inverse methodpatternhistory matchingmultiple-point statisticsensemble-based method

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Geostatistics (86A32) Geological problems (86A60)

Related Items (3)

Reducing uncertainty in conceptual prior models of complex geologic systems via integration of flow response data ⋮ Joint high-order simulation of spatially correlated variables using high-order spatial statistics ⋮ Hybrid inversion method to estimate hydraulic transmissivity by combining multiple-point statistics and a direct inversion method

Uses Software

• EnKF
• MODFLOW
• MODFLOW-2000

Cites Work

• Stochastic simulation of patterns using Bayesian pattern modeling
• An improved parallel multiple-point algorithm using a list approach
• A probability conditioning method (PCM) for nonlinear flow data integration into multipoint statistical facies simulation
• Filter-based classification of training image patterns for spatial simulation
• A blocking Markov chain Monte Carlo method for inverse stochastic hydrogeological modeling
• Conditional simulation of complex geological structures using multiple-point statistics

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