نتایج جستجو برای: Scale Prediction
تعداد نتایج: 813553 فیلتر نتایج به سال:
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
QUESTIONS Can clinical prediction rules be derived for injured Australian workers with persistent musculoskeletal pain? Are they valid? DESIGN Longitudinal observational study. PARTICIPANTS 847 injured workers with persistent musculoskeletal pain undergoing rehabilitation. OUTCOME MEASURES At baseline, 12 putative predictors were measured. At 9 weeks, short-term outcomes such as pain (vis...
The ocean and the atmosphere are dynamically coupled by the transport of momentum which is driven by the wind shear at the sea surface. However, in situ wind measurements are relatively sparse over most of the world’s ocean and are largely limited to the locations of shipping routes. They are insufficient to cover the temporal and spatial scales required to study global environmental changes. T...
Water flooding is one of the most influential methods for pressure maintenance and enhanced oil recovery. However, water flooding is likely to develop the formation of oilfield scale. Scale formation in reservoirs, due to the mixing of injection water and formation water, could cause formation damage and production limit. Therefore, it is necessary to simulate the compatibility of brine and inj...
In this work, scaling tendency and amount of precipitation of barium sulfate (BaSO4) were determined; the process is depending on temperature, pressure and mixing ratio of injection and formation of waters. Results showed that BaSO4 precipitation is largely dependent on mixing ratio. Temperature and pressure had no influence on BaSO4 precipitation. Different sca...
The objective of this thesis is to present the foundation of an automated large-scale disease prediction system. Unlike previous work that has typically focused on a small self-contained dataset, we explore the possibility of combining a large amount of heterogenous data to perform gene selection and phenotype classification. First, a subset of publicly available microarray datasets was downloa...
introduction: stroke is recognized as the third cause of mortality after cardiovascular and cancer diseases, so that lead to death of about 5 million people, annually. there are several scales to early prediction of at risk patients and decreasing the rate of mortality by transferring them to the stroke center. in the present study, the accuracy of cincinnati pre-hospital stroke scale was asses...
In this study fuzzy arithmetic is presented as a tool to tackle the prediction of the amount of barium, strontium and calcium sulfates scales in oilfield operations. Since the shape of fuzzy numbers’ membership functions is a spread representative of the whole possible values for a special model parameter, fuzzy numbers are able to consider the uncertainties in parameter determinations and thus...
Fault-tolerance has been identified as a major challenge for future extreme-scale systems. Current predictions suggest that, as systems grow in size, failures will occur more frequently. Because increases in failure frequency reduce the performance and scalability of these systems, significant effort has been devoted to developing and refining resilience mechanisms to mitigate the impact of fai...
Many numerical models for weather prediction and climate studies are run at resolutions that are too coarse to resolve convection explicitly, but too fine to justify the local equilibrium assumed by conventional convective parametrizations. The Plant–Craig (PC) stochastic convective parametrization scheme, developed in this paper, solves this problem by removing the assumption that a given grid...
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