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Mathematics in Computational Science and Engineering


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enhancement, and mathematically driven theoretical approach for the interpretation of time differenced field resistivity data or potential field data in terms of resistivity changes indicate that the dynamic adaptive inversion method is feasible. Several numerical modelling studies have clearly demonstrated that the electrical resistivity method is well suited for monitoring in-situ processes provided current dipole/excitation source is optimally installed with respect to the zone to be monitored. Sampling potential field with different electrode spacing is an economical and a better choice for EOR/IOR and geo-environmental in-situ processes [32]. Additionally, several subsurface-sampling electrodes may further help in accurately delineating propagation of fluid front and identification of swept anomalous zones.

      The physics of steam-front movement in IOR projects as a result of an injection process is different and complex, compared to the movement of a hot-water front. On the other hand, hot-water fronts may show large-scale fingering complexity. IOR projects involving steam injection create higher resistivity contrast, compared to IOR projects involving hot-water injection. The numerical studies [32] for the reservoir model involving a simple scenario of fluid-front propagation suggest that the monitoring of hot-water and steam fronts based on the measurement of differenced response is easier to understand only for a simpler resistivity distribution.

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