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Temperature-dependent viscosity is one of critical properties in designing facilities for waxy crude oil production. Several viscosity models have been developed and available in literature. Nevertheless, those models are still insufficient to cover all waxy crude oil produced from various regions. Therefore, this work aims to develop a general viscosity model for Malaysian waxy crude oils. Extensive rheological study was conducted and showed that viscosity behavior below WAT can be best described using Herschel-Buckley model. Multiple correlation and regression analysis were also performed to identify critical physico-chemical properties dictating the viscosity behavior. Based on the finding, a general viscosity model was developed by modifying Herschel-Buckley model and incorporate the critical physico-chemical properties. The general model was compared with widely used viscosity model and other models available in literatures to assess its performance on describing the viscosity behavior. The comparison showed that the general model has lowest average absolute percentage error and hence, it is more superior than the other models. Nevertheless, the model still has limitation in describing viscosity at the transition regime which is between WAT and 5°C below WAT.

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Cloud computing is an extension of Service Oriented Architecture (SOA). For cloud elastic nature, it will often need to dynamically reconfiguring and reorganising the services interaction as some unpredictable events, such as crashes or network problems, will typically cause service unavailability. The complexity and dynamism of current global network system require an architecture that is capable of autonomously changing its structure and functionality to meet the changes with little human intervention.In this paper, an autonomic SOA framework is proposed to extend the intelligence and capability in the cloud.The use of case-based reasoning and the architectural consideration of autonomic computing paradigm are presented.