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Volumn 44, Issue 3, 2002, Pages 230-241

Markov random field models for high-dimensional parameters in simulations of fluid flow in porous media

Author keywords

Bayesian statistics; Computer model; Inverse problem; Markov chain Monte Carlo

Indexed keywords

AQUIFERS; COMPUTER SIMULATION; HYDROLOGY; INVERSE PROBLEMS; MARKOV PROCESSES; MECHANICAL PERMEABILITY; MONTE CARLO METHODS; POROUS MATERIALS;

EID: 0036678130     PISSN: 00401706     EISSN: None     Source Type: Journal    
DOI: 10.1198/004017002188618419     Document Type: Article
Times cited : (70)

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  • 23
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    • Fast sampling of Gaussian Markov random fields with applications
    • Norwegian University of Science and Technology, Dept. of Mathematical Sciences
    • (2000) Statistics , vol.1
    • Rue, H.1
  • 24
    • 0032812377 scopus 로고    scopus 로고
    • A complex sand-shale facies model conditioned on observations from wells, seismics and production
    • eds. E. Y. Baafi, and N. A. Schofield, Dordrecht: Kluwer Academic
    • (1997) Geostatistics Wollongong '96 , vol.1 , pp. 634-646
    • Tjehneland, H.1    Omre, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.