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Major restrictions have been imposed in the models' assumptions such as: The reservoir is under volumetric depletion with no water drive, single well is producing at constant rate, and gas properties are assumed to be constant.
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However, a violation of the model assumptions, such as an unforeseen change in the topology, can invalidate the model predictions.
Model assumptions such as using a log-normal distribution for modeling loss masses, can be evaluated using the data.
Violations of model assumptions such as activation-induced changes in regional blood flow or specific binding in the reference tissue have negligible effects on lp-ntPET performance.
The tests were run under various ground motions, and the influence of modeling assumptions such as damping and initial stiffness was investigated.
Global sensitivity analysis (GSA) has the advantage over local sensitivity analysis in that GSA does not require strong model assumptions such as linearity or monotonicity.
Some of the model assumptions, such as constant variance, are not actually correct owing to the way that the data were simulated.
The estimation is derived without adopting conventional performance modeling assumptions, such as Poisson arrivals or exponential holding times, thus allowing non-standard behaviour patterns, including special phenomena of IP networks, such as self-similarity.
In this paper several different models are presented to illustrate the effects of different model assumptions such as the timing, depth and rates of the surface soil mixing on the calculated erosion rates.
In contrast to other wetting/drying methods, it is well-balanced and able to handle wetting/drying robustly at any polynomial order, without the introduction of physical model assumptions such as viscosity, artificial porosity or cancellation of gravity.
Changes to model assumptions (such as, e.g., the type of density-dependent recruitment) are unlikely to alter this overall trend.
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