May 18-19, 2022.

As the digital transformation expands its reach across the industry, operators are looking for new ways to navigate through a post-pandemic world and embrace the ‘digital oilfield age’ for more efficient and cost-effective operations. While digitalization has reduced overall OpEx and CapEx costs and helped operators to survive the downturns, the industry now faces new challenges along its digital transformation journey. 

The digital oilfield is offering operators the opportunity to use the information they have at their fingertips to uncover efficiencies at a rapid pace - allowing them to better monitor their operations and improve business performance. The Canadian Digital Oilfields 2022 conference is set to become the region’s leading exhibition and conference exclusively for oilfield operators and technology providers to present new digital solutions for the industry. 

Meet Canvass at Canadian Digital Oilfields 2022 

 Managing oil & gas facilities at their optimal can often come undone when recurrent and unplanned downtime, maintenance issues and ageing assets come into play. The sector is also under tremendous pressure to increase throughput while protecting their margins. It’s estimated that 92% of refinery shutdowns were due to unplanned maintenance, costing the energy companies an average of $42 million a year and up to $88 million a year in the worst-case scenarios. These challenges mean that the industry needs to optimize their processes to improve their top and bottom-line results. Artificial Intelligence (AI) and Machine Learning (ML) enable industrials to predict how to run their processes more efficiently to improve yield, quality and reduce downtime. 

 Date: May 18-19 

Ali Abou Daya 

Ali Abou Daya is an Account Executive in the process industry space. Having started his career as a data engineer in the Oil & Gas, Petrochemical, Power and Utilities, Ali possesses a deep understanding of the business challenges that the manufacturing industries face as well as the means to solve them via modern data processing technologies and analytics.