Paul Oram
Andrew Ogden-Swift
Andrew Ogden-Swift
By background, Paul is a process control and optimization engineer. His PhD research focussed on adaptive closed loop control.
In 2017, he became a Visiting Professor at Imperial College, where he has taught Process Dynamics and Control to Chemical Engineering undergraduates and postgraduates. He continues to give guest lectures to studen
By background, Paul is a process control and optimization engineer. His PhD research focussed on adaptive closed loop control.
In 2017, he became a Visiting Professor at Imperial College, where he has taught Process Dynamics and Control to Chemical Engineering undergraduates and postgraduates. He continues to give guest lectures to students on process control related topics.
Paul worked for a major oil and gas company for over 30 years in numerous locations, leaving in December 2020. He has extensive experience in designing, building and commissioning control and optimisation schemes across numerous petrochemical processes and oil & gas facilities around the world. In his last role, as Chief Engineer for Instrument, Electrical and Control, he became acutely aware that closed loop optimisation has the potential to deliver huge benefits across all processes but a new approach was needed to enable these to be captured at scale and pace. In short, the prize associated with real-time optimisation (RTO) was enormous but remained largely untapped.
So, in 2021, Paul set about tackling the difficulties which have, to date, impeded the widespread use RTO. This work has resulted in the novel ORTO algorithm which Ortomation Ltd now markets.
Andrew Ogden-Swift
Andrew Ogden-Swift
Andrew Ogden-Swift
Andrew has been developing and applying digital technologies for process manufacturing for over 40 years.
His early career was spent at Esso’s Fawley refinery, he then worked for suppliers, eventually spending 23 years working in research and development for Honeywell Process Solutions. After leaving Honeywell he worked for a small start-
Andrew has been developing and applying digital technologies for process manufacturing for over 40 years.
His early career was spent at Esso’s Fawley refinery, he then worked for suppliers, eventually spending 23 years working in research and development for Honeywell Process Solutions. After leaving Honeywell he worked for a small start-up in self-service analytics and machine learning.
Over his career Andrew has helped justify, implement and maintain optimisation solutions and has also been involved in the development of new technologies. He understands that the main impediment to widespread use of traditional RTO is its cost and the expertise and time needed to implement and maintain installed schemes. Recognising that ORTO dramatically simplifies how RTO is implemented and maintained, he is working with Paul to commercialise and market the technology.