Join Brian Rohrback, president of Infometrix, for his talk on Industrial Strength Analytics Friday April 23rd at 13:00 BST.
The conference is free to attend and is open to all. Register at: https://apact.co.uk/
Industrial Strength Analytics
As scientists, we need to be focused on specific aspects of technology in order to make advances in our fields. Success in the lab is key, but if we want to reap the benefits, the tasks that come next are every bit as critical as the initial innovation. In order for the work to be useful in the manufacturing sector, the analytics need to be industrialized and often the peripheral portions of this hardening process are as complex as the discovery process and it takes time, often more than Phase I. The example here is to outline the steps required to optimize the use of optical spectroscopy in manufacturing quality control.
Join Brian Rohrback, President of Infometrix on Feb. 25th at 1:00pm ET.
Free Webinar: Process Control & Instrumentation Series
Practical AI: In Search of Dynamic, Autonomous Process Analytics
The application of the concepts behind artificial intelligence and machine learning mandates a systematic approach to extracting information from multiple, byte-dense data sources. Effective extraction of this information leads to improvements in decision making at all levels of the chemical, petrochemical, and petroleum industries. To accomplish anything in the AI space, we need to combine traditional approaches in statistics, database organization, pattern recognition, and chemometrics with some newer concepts tied to better understanding of data mining, neurocomputing, and machine learning. This is an introduction to a practical approach to deploying AI and how a multi-company, multi-industry, hydrocarbon processing consortium, established eight years ago to re-evaluate how the calibration process for sensors and analyzers could be managed more efficiently. The focus spans optical spectrometers, chromatographs, and process sensors, independently and in combination, with a shift from current practices to approaches that take advantage of the computational power at our fingertips.
Dr. Rohrback’s expertise covers the integration of multivariate data processing for process analyzers and laboratory instruments catering to routine quality analysis. Prior to his current position, he worked for Cities Services Oil Company, now Occidental Petroleum, with industry positions including research scientist managing the chromatography group, an exploration geologist, and manager of planning/budget for EAME. He holds a B.S. in chemistry, a Ph.D. in organic geochemistry, and an MBA. His 50-year span of published works include topics in petroleum exploration, chemical plant optimization, clinical and pharmaceutical diagnostics, informatics, pattern recognition and multivariate analysis.