Markov chain Monte Carlo methods for conditioning a permeability field to pressure data

Author:

Oliver Dean S.,Cunha Luciane B.,Reynolds Albert C.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Mathematics (miscellaneous),Earth and Planetary Sciences (miscellaneous),Mathematics (miscellaneous)

Reference35 articles.

1. Alabert, F., 1987, The practice of fast conditional simulations through the LU decomposition of the covariance matrix: Math. Geology, v. 19, no. 5, p. 369–386.

2. Chu, L., Reynolds, A. C., and Oliver, D. S., 1995, Computation of sensitivity coefficients for conditioning the permeability field to well-test pressure data: In Situ, v. 19, no. 2, p. 179–223.

3. Davis, M., 1987a, Generating large stochastic simulations—the matrix polynomial approximation method: Math. Geology, v. 19, no. 2, p. 99–107.

4. Davis, M., 1987b, Production of conditional simulations via the LU decomposition of the covariance matrix: Math. Geology, v. 19, no. 2, p. 91–98.

5. Deutsch, C. V., 1992, Annealing techniques applied to reservoir modeling and the integration of geological and engineering (well test) data: unpubl. doctoral dissertation, thesis, Stanford University, 325 p.

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