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Combining geostatistics and flow simulators to identify transmissivity
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rotha, Chris Chilèsa, Jean-Paul Fouquetb, Chantal De |
| Copyright Year | 1998 |
| Abstract | The reconstruction of the transmissivity field from the more numerous experimental hydraulic head data, an inverse problem, remains the focus of continuing stochasticbased research. The difficulty of this problem arises not only from the complexity of the diffusion equation that links the two variables, but also from taking into account the physical aspects of the site under study; e.g. the boundary conditions, the effective recharge, and the geology. In practical applications, the validity of purely analytical techniques proposed to date is limited by certain simplifying assumptions, like the linearization of the flow equation, made in order to obtain a solution. For this reason, a hybrid methodology combining geostatistical techniques with deterministic numerical flow simulators is proposed. This combination allows the numerical calculation of the direct and cross covariances needed to cokrige the transmissivity from both the transmissivity and hydraulic head data. The flexibility of numerical flow simulators takes away the need for the simplifying assumptions of analytical techniques to apply the proposed methodology. q 1998 Elsevier Science Limited. All rights reserved |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://directory.umm.ac.id/Data%20Elmu/jurnal/A/Advances%20In%20Water%20Resources/Vol21.Issue7.1998/189.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Approximation Converge Finite difference First-order predicate Geology Goto Kriging Normal Statistical Distribution Numerical analysis Numerical method Numerous Published Comment Rechargeable battery Simulators |
| Content Type | Text |
| Resource Type | Article |