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Thirdly, the model is compared against previously published models and field data.
In "Application to the seismic records" section, we show the performance of AL-TFPF on both synthetic models and field data and compare with the other methods.
Microcosms are best used in conjunction with theoretical mathematical models and field observational studies and tests as part of a broader research strategy.
The second approach, self-learning simulations (SelfSim), is an inverse analysis technique that combines finite element method, continuously evolving material models, and field measurements.
Improved models and field data to describe the role of geochemical reaction, adsorption-scale kinetics were recently published to impact cake formation, permeability damage and injection performance (Obe et al. 2017).
It is noted that all the inversion results shown in the "Numerical models" and "Field data inversion" sections are solely obtained from the minimization problem (5) and the modeling expression (3).
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The design principles of the SSIM, implementation of a parameterized transmittance model, and field performance comparisons of modeled solar spectra with reference radiometer measurements are presented.
Comparisons between the model and field observations indicate generally good agreement.
Open image in new window Fig. 3 Structure of experimental cylinder and dimensions of sand-filling model and field formation.
The comparison of productivity ratio for all cases between the calculated model and field data is presented in Fig. 6.
The bar chart shows the productivity ratio results between hydraulic fracturing mathematical model and field data for all cases.
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