By Jesse Yoder, PhD, Fox Thermal Instruments, Inc.
Thermal flow meters are suddenly emerging into the spotlight and are primed to show an upswing in demand. Why is this? The answer lies primarily in the trend toward increased environmental monitoring and the suitability thermal flow meters have for such applications.
In a slight change in topic, this is going to be a more general article around why I believe water treatment technologies are so critical, why this industry is so vital, and what depends on the new technologies that this industry generates. We do so much where I work that goes well beyond produced water recycling, and it is all extremely important.
The Al Hosn Shah Gas Processing Plant in Abu Dhabi is a natural gas processing plant that purifies gases by removing certain contaminants in a sweetening process. The gas pipelines and other infrastructures that process sour gases need to be continuously monitored for leaks as the contaminant gases are often dangerous for human exposure. This case study explores the innovative combination of UAV and FLIR optical gas imaging technologies as an efficient way of monitoring vast gas fields from the air.
With a broad range of level measuring principles available means that finding the ideal solution is easy. No principle is suited to all application areas. Therefore, measuring systems must be selected that work reliably under the conditions of a particular application and, at the same time, meet the economic situations in the future. Endress+Hauser can support you from planning and commissioning through to the maintenance of your measuring point as well as assist you in automation, asset management, and the visualization of process data.
Are you challenged with managing the severity of reactor operation on a fixed-bed reactor and planning catalyst regeneration or replacement? It is important to analyze the catalyst activity and predict the end-of-useful-life for the catalyst in order to optimize near- and long-term economics. This process requires the calculation of normalized weighted average bed temperature, selecting historical data to “train” the correlations, and auto-updating with new data.