Works matching IS 14200597 AND DT 2017 AND VI 21 AND IP 2
Results: 9
Estimating observation error covariance matrix of seismic data from a perspective of image denoising.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 205, doi. 10.1007/s10596-016-9605-0
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- Publication type:
- Article
A model for CO storage and seismic monitoring combining multiphase fluid flow and wave propagation simulators. The Sleipner-field case.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 223, doi. 10.1007/s10596-016-9607-y
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- Article
Probability distribution method based on the triple porosity model to identify the fluid properties of the volcanic reservoir in the Wangfu fault depression by well log.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 241, doi. 10.1007/s10596-016-9608-x
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- Publication type:
- Article
Dimensionality reduction for production optimization using polynomial approximations.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 247, doi. 10.1007/s10596-016-9610-3
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- Article
Gaussian Processes for history-matching: application to an unconventional gas reservoir.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 267, doi. 10.1007/s10596-016-9611-2
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- Article
Exploiting transformation-domain sparsity for fast query in multiple-point geostatistics.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 289, doi. 10.1007/s10596-016-9612-1
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- Article
A low-dimensional subsurface model for saturated and unsaturated flow processes: ability to address heterogeneity.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 301, doi. 10.1007/s10596-017-9613-8
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- Publication type:
- Article
Direct forecasting of reservoir performance using production data without history matching.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 315, doi. 10.1007/s10596-017-9614-7
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- Publication type:
- Article
Uncertainty quantification of two-phase flow problems via measure theory and the generalized multiscale finite element method.
- Published in:
- Computational Geosciences, 2017, v. 21, n. 2, p. 187, doi. 10.1007/s10596-016-9603-2
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- Publication type:
- Article