Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data

Mathematical Geosciences

Volumn 44, Issue 2, 2012, Pages 147-168

  Cherpeau, Nicolas ^a   Caumon, Guillaume ^a   Caers, Jef ^b   Lévy, Bruno ^c  

^a UNIVERSITÉ DE LORRAINE   (France)

^b STANFORD UNIVERSITY   (United States)

^c INRIA   (France)

Author keywords

Inverse modeling; Structural modeling; Topology; Uncertainty

Indexed keywords

CORRELATED MODEL; CURRENT MODELS; DISCRETE STATE; DYNAMIC DATA; FAULT CHARACTERISTICS; FAULT FEATURE; FAULT GEOMETRY; FAULT MODEL; FAULT ORIENTATIONS; FAULT POSITION; FAULT ZONE; FLOW DATA; FLOW RESPONSE; INVERSE APPROACH; INVERSE MODELING; INVERSION SCHEME; MONTE CARLO MARKOV CHAIN; NEW MODEL; NEW PARAMETERS; PARAMETERIZED; PHYSICAL PROCESS; PRIORI INFORMATION; RANDOM VECTORS; SIMULATED DATA; STOCHASTIC FAULTS; STOCHASTIC INVERSE MODELING; STRUCTURAL MODELING; STRUCTURAL UNCERTAINTY; UNCERTAINTY; UNCERTAINTY SPACE;

INVERSE PROBLEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TOPOLOGY; TWO PHASE FLOW; UNCERTAINTY ANALYSIS;

THREE DIMENSIONAL;

ALGORITHM; BAYESIAN ANALYSIS; GEOMETRY; INVERSE ANALYSIS; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; STOCHASTICITY; TOPOLOGY; UNCERTAINTY ANALYSIS;

EID: 84856756962     PISSN: 18748961     EISSN: 18748953     Source Type: Journal    
DOI: 10.1007/s11004-012-9389-2     Document Type: Article

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