We can all go to the Annual Darwin ACA networking event this year because it is a webinar.
All ACA members are entitled to free admission to this event, by using the below discount code at the checkout to remove the $30 charge.
Discount Code: Login to your ACA account to access
Discount Code: ACANT
Speakers

Kathryn McDaid | Aquip
Kathryn has worked in the Australian Oil and Gas industry for over a decade, with a focus on industrial instrumentation for NDT, rotating machinery reliability, vibration analysis, and ultrasonic measurement technology for subsea and topside pipelines. Her career has centred on assisting Oil and Gas, Mining and Water industry clients find the most suitable solutions to challenging applications.
As Key Account Manager for Aquip Systems’ Oil and Gas clients, Kathryn has worked closely with the ClampOn technical team in Norway to provide non-invasive instrumentation solutions to support client operations in monitoring well integrity and pipeline reliability efforts.

Chris Partington
Chris has been working in the protective coatings industry for 30 years, predominately with Intumescent type coatings. Initially based in the UK working for several leading European manufacturers as an R&D chemist and various technical engineering roles, Chris Emigrated to Australia in 2007 working for passive fire protection manufacturers and is currently working for Nullifire developing their range of intumescent across Australia and New Zealand.

Sam Pattemore
Sam is the founder of Corrosion Instruments, a tech startup aimed at bringing cathodic protection into the information age. Sam is an electrical engineer with several years’ experience in the pipeline and oil & gas industry. During his time working for a leading Australian pipeline company, Sam noticed some significant deficiencies in the application and monitoring of cathodic protection. Sam has dedicated himself to developing new hardware, systems and methods of monitoring and controlling cathodic protection and hopes to make great discoveries through deep analysis of extensive asset management data.