Hydrocarbon Processing Accelerating and expanding process control benefits Advanced industrial data analytics has a prominent role to play in process control and automation. Expect the unexpected: Estimation of uncertainty in custody measurement Uncertainty in input parameters does not have an identical effect on uncertainty in the output. Web-based software for predicting crude compatibility and optimization for increasing heavy oil processing Refineries in oil-importing nations typically process a blend of crude oils, rather than a single crude oil, to ensure that an optimum product mix can be obtained at the minimum costs. Innovations Endress+Hauser has released its new Cerabar and Deltabar pressure and differential pressure instruments (FIG. 1), Sustainability through efficiency: A plan for the refining industry The U.S. Energy Information Administration projects that carbon dioxide (CO2) emissions will decrease through 2050 in Organization for Economic Co-operation and Development countries (OECD), which includes the U.S.1 Shrinking the carbon footprint: A digital transformation roadmap for green fuel producers From ethanol and renewable diesel to biofuels and gas-to-liquids, the world is moving toward low-carbon energy sources to mitigate climate change and boost energy security. Corrosion: Maintaining profitability with opportunity crudes while mitigating naphthenic acid corrosion Refiners are asked to produce products within ever tighter margins in a changing industry. Process Controls, Instrumentation and Automation: Improved methods for trace element analysis of challenging petrochemical samples There is no doubt that the purpose of refining crude oils into natural raw materials is crucial to produce a vast array of fuels and products used in our daily lives. How one analyzer technology can improve a semi-regenerative catalytic reforming process Going back to the earliest days of the industry, oil refiners have found that breaking down crude oil into marketable fractions does not always result in high volumes of the most profitable products. Using ANN modeling to predict the melt flow index in real time Controlling polymer quality during manufacturing is a significant challenge due to the cost, maintenance and reliability of online measurements of final product quality.