Session Abstract:
The Energy industry is a significant contributor of GHG (Green House Gases) emissions. The industry has made serious commitments towards achieving Net Zero goal by 2050 by launching major Decarbonization initiatives. Decarbonization involves GHG emissions detection, quantification, capture, transformation and sequestration. The first order of business is monitoring and quantification of GHG especially Methane which is 85% more potent than CO2. IoT and AI are now the leading technologies in this Decarbonization effort. At Softserve, we have a major initiative, MethaneX, that is focused on Methane and other GHG emissions detected from a wide range of IoTs: aerial systems like satellites and drones, hand-held optical gas imaging (OGI), and permanent imaging and gas sniffer systems. We are partnering with many IoT companies and developing solutions for data management, modeling and AI/ML solutions to accurately quantify emission from IoTs, fuse data from multiple IoTs, build predictive models and automate the process of GHG reporting to Governmental agencies like the EPA and others. Our presentation will provide an overview of our MethaneX initiative current progress and future roadmap.
Speaker:
Hatem Nasr Ph.D – A leading expert in Upstream Digital Oilfield (DOF), strategy definition and systems design of DOF systems for: production management, automation, IoT, workflow automation, field development, waterflood management, integrated asset management, and smart operations. His experience spans over 27 years in the energy industry, as a company executive, entrepreneur, and senior advisor the C-suites on Digital Strategy. Before joining Softserve, Hatem has been a senior advisor on strategy, technology roadmap and projects execution to several multinational companies across the world (IOCs and NOCs). He has been involved in more than 14 Digital Oilfield projects around the world with major oil companies, including: KOC (led DOF with budgets over $200 Million), Shell, Chevron, Saudi Aramco, ADNOC, PDO, Pemex and many others. Published over 30 articles and hold several patents. Previously, he was a co-founder of a leading Digital Oilfield start-up financed by Shell Technology Ventures and Director of Advanced Technology in Baker Hughes.
Key Takeaways
IoT in itself if you just use it you don’t get a whole lot, you just get data. The question is, what is in the data? And this is what we are focused on.
For many many years the industry used a wide range of methane measurement systems.
- Emission factors
- Operational information
- Source-level measurement
- Site-level measurement
But the industry is pushing for a continuous model to constantly measure to get the best information.
The Methane Problem
Methane is 84% more potent than CO2 and responsible for 25% of global warming! Methane is so much more potent because it stays in the environment. It lasts a long long time compared to other gasses. The industry must do more.
AI is key for processing methane data. The resolution of some satellites is getting down to the centimeters level. This is how powerful they are to allow the industry to use incredible cameras to detect methane. These technologies have only evolved in the last 5 or 6 years.
