As a consequence of this programmable platform modeling style, the models can be annotated directly with characterization data from a concurrent characterization process to be described.
The major objective of the reservoir characterization process is to produce models that are robust enough to help improve the accuracy of the predictions of reservoir properties for use in full-field and large-scale simulation models.
The ultimate aim of a petroleum reservoir characterization process is to determine the properties of the reservoir structure in order to find the optimal production techniques that will optimize the production procedures.
Innovative experimental methodologies based on high-throughput technologies are scaling the characterization process up to tens of thousands of designed sequence variants, providing larger datasets to better understand sequence/activity relationships (Dvir et al., 2013; Kinney et al., 2010; Patwardhan et al., 2009, 2012; Sharon et al., 2012; Smith et al., 2013).
Since AM materials change rapidly and the characterization process will have to be repeated, it is shown how to fully exploit the Design of Experiments method to create a cost and time efficient design with a high statistical accuracy.
The presented computational techniques allow us to fulfil both characterization processes (i.e. the structural and the energetic ones) using an entirely controlled framework.
Therefore, it is necessary to develop a series of characterization and modeling processes to increase the effectiveness of the hyperthermia treatments, thanks to the prediction of the system response.
The index change of 0.000449 found in characterization process is used to simulate the LPG in pure silica fiber.
MIT.nano will be a 200,000-square-foot building that houses state-of-the-art cleanroom, imaging, and prototyping facilities that can support fabrication and characterization processes on the nanoscale.
This option can control both the fabrication and characterization processes with real-time measurements.
