Analyzers
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 (CO<sub>2</sub>) emissions will decrease through 2050 in Organization for Economic Co-operation and Development countries (OECD), which includes the U.S.<sup>1</sup>
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.
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