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Knowledge of prediction of PVT properties of reservoir oil is of primary importance in many petroleum engineering studies such as inflow performance calculations, production engineering studies, numerical reservoir simulations and design of proper improved oil recovery techniques.
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The data will be visualized using charts and graphs to show the distribution of the data set to have a better knowledge of which prediction models will be more suitable for the data set.
Based on knowledge of mixture predictions, new features were incorporated into OCHEM allowing users to store and model properties of binary non-additive mixtures.
While there has been much written about impacts of climate variability, there has been relatively little done in relation to applying knowledge of climate predictions to modify actions ahead of likely impacts.
Many computational models assume a multitude of pairings of such internal models, containing the necessary motor knowledge for prediction and control of individual movements [ 20].
Based on observations of the system state, the control technique we proposed locally decreases the spatial energy of the amplitude in the vicinity of the highest burst, without needs of any knowledge or prediction of the system model.
To the best of our knowledge, the prediction of secondary phenotypes from primary screen annotations in combination with literature-curated phenotypes in mouse has not been addressed before.
This is of particular interest to improve our knowledge and prediction of patterns of soil physical parameters, such as carbon storage or water content, particularly sensitive to surface erosion and landscape structuration.
We show the utility of the discussed patterns in the context of the blind (without the knowledge of the ligand) prediction of binding sites.
Analyses of both tumour tissue and plasma with tissue microarray, proteomics and genomics may generate increased knowledge of prognosis and prediction of response to chemotherapy in the BACCHUS trial.
For the reliable and efficient design of such systems, an accurate knowledge or prediction of the pressure drop is of fundamental importance, as it plays an important economic role in situations involving high space velocities (high Reynolds numbers).
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