Reducing methane pollution is an essential pillar of Canada’s climate plan: a plan that includes a rigorous target of reducing emissions by 40% by 2025 with hefty fines for missing the mark.
With that deadline looming, government and industry are exploring new and innovative ways of tackling greenhouse gas pollution.
In this free webinar, we convened a panel of experts to discuss the future of methane emissions management and how technologies such as AI will impact the energy sector.
Panelists:
David Wares - Sales Director, Western Canada, GHGSat
David Wares attended Queen’s University where he attained a Chemical Engineering degree. He has been in the energy industry for 16 years with time at Shell (in their Green House Gas Department), Weatherford, Pason and most recently joined GHGSat to help clients utilize satellites, aircraft and analytics to decarbonize their activities and the planet we all share.
Liz O’Connell – President and Co-Founder, Arolytics
Arolytics is a software and expert services company providing data solutions for oil and gas emissions management. Liz has spent multiple years as a research scientist working to quantify, monitor, and reduce greenhouse gas emissions from >5,000 energy sites across Canada. She has authored multiple peer-reviewed publications on oil and gas methane emissions, and, with Arolytics, has commercialized two data solutions: AROviz – an emissions management software, and AROfemp – a methane emissions simulation tool.
Jackson Hegland - Executive Director, Methane Emissions Leadership Alliance; President, Modern West Advisory
Modern West Advisory is a strategic advisory firm working with the oil and gas industry, with specialization in corporate ESG strategy, carbon accounting, and carbon markets. Jackson is the Executive Director of the Methane Emissions Leadership Alliance: an industry association composed of methane reduction technology and service providers from throughout Canada and the United States. He is also a partner with Carbon Connect International. Jackson graduated from Princeton University with a degree in Environmental Economics.
This webinar was made possible through Amii’s Reducing Emissions through Machine Intelligence (REMI) program, which will enable Alberta industries to harness the power of AI to meet their commitment to measurably reduce emissions.
View a recording of the panel discussion here: