Climate Action Engine emissions data platform demonstration
Climate Action Engine
Climate Intelligence for the Oil & Gas Industry
What is the Climate Action Engine?
The Climate Action Engine (CAE), an emissions data platform developed by Rocky Mountain Institute in partnership with Spherical Analytics, weaves together emissions data with other oil and gas information, such as location, ownership, and financial performance data under a single data and analytics platform. This platform is uniquely positioned to provide irrefutable, real-time knowledge to respond to the industry’s need to make emissions reduction actionable.
Why is it important?
At current emissions rates, there are approximately 10–15 years left in the global carbon budget to limit global warming to 1.5°C–2°C. Over half of global energy-related carbon dioxide equivalent emissions come from the production, transportation, and use of oil and gas products, leading to scrutiny and pressure for the oil and gas industry to reduce emissions by regulators, buyers, investors, and the general public.
The CAE is unique in its ability to provide actionable insights, through emissions data and other climate relevant information, that align with existing reporting structures for operations and strategic decision-making.
How does the CAE help reduce emissions?
As a data and analytics platform, the CAE is designed to meet and respond to the oil and gas industry’s need to reduce emissions in ways that inform and align with Business Intelligence methods and tools.
The CAE's asset-grade data will:
- Enable operators to ensure that they are prioritizing emissions reduction initiatives that have the largest methane emissions reduction potential;
- Track emissions reduction initiatives to ensure changes before and after their implementation;
- Report emissions in line with various reporting guidelines such as those stipulated by the Taskforce on Climate related Financial Disclosures, Sustainability Accounting Standards Board, Global Reporting Initiative, and CDP; and
- Allow users to explore what-if scenarios such as identifying sub-economic assets under a carbon tax scenario and flagging potential stranded asset risks in the context of climate change like more frequent and severe floods and hurricanes.
- Analyze how much gas production meets new certification standards for low-methane gas, and how production could be improved to meet these standards.
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