Whitepapers

Prescriptive maintenance technology is changing how companies manage asset downtime. With more advance warning of equipment failures comes additional opportunity to mitigate the negative impact of shutdowns. In this new white paper discover how prescriptive maintenance powered by AI and machine learning can help predict equipment breakdowns up to months in advance, automate data collection, cleansing and analysis and quickly scale across similar assets enterprise-wide. Learn how companies have successfully implemented these solutions and the quantitative benefits achieved.

Refiners globally are using Clora® to test chlorides in crude and avoid the pitfalls of corrosion and refinery shutdowns. In this paper, we provide a detailed “how to” measure chlorides in crude by ASTM D4929C and water extraction. Download our whitepaper to learn about ASTM 4929C and water extraction procedures.

Engineers and researchers work hard to keep our gas turbines around the globe operating as efficiently and effectively as possible. These efforts include examining the impact of individual systems and components on the turbines' overall performance and reporting the results of our studies. Recently we took a look at the flame sensors in use in our gas turbines, and reached an important conclusion: the elimination of flame sensor water cooling can significantly enhance gas turbine reliability and uptime.

Refiners can optimize their catalyst quality by measuring metals in crude, and then assess the payoff of those optimizations in real-time by measuring chlorine concentration trends in the catalysts themselves. Download our whitepaper to learn about a reliable solution to measure chlorine in catalyst while meeting the UOP 979 criteria.

Unplanned downtime has wide-ranging impacts that affect more than just a plant’s productivity and profitability. Forced shutdowns also have a major impact on plant and personnel safety, as well as greenhouse gas emissions and environmental compliance. But what if you could actually plan for downtime?

In this paper, learn how advances in machine learning and predictive analytics are eliminating the surprise of unplanned downtime - enabling companies to minimize the most dangerous conditions, reduce the amount of gases released into the environment, and improve productivity and profitability.

Before, owners only had one way to evaluate future investment opportunities: historical comparative analysis. This approach does not provide the full picture and does not inform on tradeoffs inherent in any investment decision. Now, with the UOP E6 methodology, owners have a strategic framework that objectively quantifies how well an investment opportunity utilizes six key resources. The result: for the first time, owners can assess the value of an investment, ensuring alignment with business priorities, and realize consistently better outcomes. The UOP E6 – better decisions for a better future.

Chlorine-contaminated crude oil poses dangers such as the creation of hydrochloric acid, which causes corrosion in refining equipment and pipelines. Read our whitepaper to learn about a viable solution that allows refineries to obtain organic chloride concentrations in crude oil with increased precision and efficiency.

Today, more than ever, it is imperative that refineries and other process facilities operate efficiently and reliably. How is this achieved? The answers to just a few questions can show us the way. What should be done in order to increase reliability? What kind of instruments could provide digital reliability? What KPIs should be chosen show that investments in reliability are investments that can be paid back? This paper is dedicated to these concerns.