Addressing conditioning data in multiple-point statistics simulation algorithms based on a multiple grid approach
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Publication:745867
DOI10.1007/s11004-013-9479-9zbMath1322.65036OpenAlexW2152854659MaRDI QIDQ745867
Julien Straubhaar, Duccio Malinverni
Publication date: 14 October 2015
Published in: Mathematical Geosciences (Search for Journal in Brave)
Full work available at URL: http://doc.rero.ch/record/325289/files/11004_2013_Article_9479.pdf
Uses Software
Cites Work
- 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
- The probability perturbation method: a new look at Bayesian inverse modeling
- Fast FILTERSIM simulation with score-based distance
- Conditional simulation of complex geological structures using multiple-point statistics
- A frequency matching method: solving inverse problems by use of geologically realistic prior information
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