Examples of identified research gaps in predictive modeling of diseases at these interfaces included data availability (cases, reservoirs, wildlife ranges), data granularity (land cover), real-time data to incorporate into models to support public health decision making, and lack of repositories for animal and human diagnostic specimens and pathogens.
In each case (reservoir), to circumvent the problem, a unique method is presented.
Figure 8 shows a schematic of the base-case reservoir model.
Other rock parameters, such as tensile strength, Young's modulus, and uniaxial compressive strength are of interest from an engineering point of view, e.g. in terms of borehole stability or in case reservoir stimulation becomes necessary.
The prediction cases for reservoir were run using well production rate control.
The upper measuring limit is regularly exceeded when the HPP is not adjusted fast enough to a sudden flood event; in this case, the reservoir storage level exceeds the operational range (10 15 m) and, consequently, overflows the grout curtain.
In the former case the reservoir may be filled by natural flow from upstream; in the latter the supply of water must be piped or pumped from a surface or subsurface source.
In each case, the reservoir fluid was obtained from recombination of produced separator gases and stabilized oil.
Even though the above-discussed models are powerful in terms of prediction ability, they are only useful for a specific case of reservoir application.
In this case, the reservoir ages of the food crusts AAR-11403, AAR-11404 and AAR-14212 would indicate only 10%to20%0% aquatic ingredients.
