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Nowadays, there is a challenging endeavor of defining the reservoir rock regions that have similar petrophysical and geological properties and also consistently different from surrounding zones for better characterization, modeling and simulation of shaly reservoirs.
The main subjects covered are network synthesis, characterization, modeling and applications.
To facilitate and accelerate the process of introducing, evaluating and adopting new material systems, it is important to develop/establish comprehensive and effective procedures of characterization, modeling and failure prediction of composite structures based on the properties of the constituent materials, e.g., fibers, matrix, and the single ply or lamina.
To facilitate and accelerate the process of introducing, evaluating and adopting new material systems, it is important to develop/establish comprehensive and effective procedures of characterization, modeling and failure prediction of structural laminates based on the properties of the constituent materials, e. g., fibers, matrix, and the single ply or lamina.
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This bottleneck is continued when performing Life Cycle Impact Assessment, where characterization models and consequently characterization factors (CFs) for ENPs are missing.
Taking Shengli oilfield as an example, the history matching and prediction of polymer flooding are carried out, it is indicated that there exists a good matching between the quantitative characterization model and the field data, and this model can be extrapolated.
Converting life cycle inventory results to impact categories requires a characterization model and a characterization factor, a multiplier which is applied to transform the life cycle inventory results to a common unit for an impact category [ 14, 15].
Noteworthy advances in the fundamental understanding of evaporation and boiling from porous microstructures fed by capillary action and improvements in vapor chamber characterization, modeling, design, and fabrication techniques are reviewed.
System characterization, modeling, MIMO control design and simulation, and preliminary experimental results are presented.
The excavation design process is seen to have four elements: characterization, modelling, monitoring and design.
Our approach consisted of three main phases: signal characterization, model development, and model validation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com