Gulf Coast Conference 2021 – Managing Calibrations for Optical Spectroscopy

GCC 2021 event

GCC 2021

Join Brian Rohrback on 10/12/2021 at the Orchid Room, 9:40 AM – 10:10 AM.

Abstract:
A multi-industry consortium got together 8 years ago to rethink how calibrations need to be performed for spectroscopy instruments and analyzers. The priority was on solutions that are non-disruptive, fully utilize legacy systems, and lessen the workload rather than layer on additional requirements. The result is a foolproof, simple approach that can be used with any type of brand of spectrometer, any type or brand of chemometrics, and ensures robust and reliable calibrations. For more information, email info@infometrix.com.

2021 AFPM Summit – The Role of Artificial Intelligence in Manufacturing and Petroleum Refining

2021 AFPM SummitJoin Brian Rohrback on October 5th at 11:00 am – 12:00 pm CST for panel discussion on The Role of Artificial Intelligence in Manufacturing and Petroleum Refining at the 2021 AFPM Summit.

 

Session Description:
Artificial intelligence and machine learning are inevitable results of the work driven by the consumer side of our economy. The question is not whether it will impact refining and chemical plant operation, but how soon and how long it will take for the benefits to outstrip the costs. The goal is to distinguish between vision and hallucination and to provide some practical guidance for making progress in this complicated set of fields. For more information, email info@infometrix.com.

ISA Webinar – Practical AI: In Search of Dynamic, Autonomous Process Analytics

ISA 2021 webinar postingJoin 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.