Orbio is a data fusion platform that utilizes satellite imagery to provide real-time methane emissions tracking for oil and gas infrastructure, enabling operators to identify super-emitter durations and prioritize reduction opportunities. The platform addresses the challenge of underreported methane emissions, which can be as high as 70%, by delivering precise, asset-level insights that help companies comply with emerging regulations and mitigate financial risks.
Funding
$4.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CFESICFounders
Product
Problem
Current methods for monitoring methane emissions from oil and gas infrastructure often rely on generic emission calculation methods, leading to significant underreporting, potentially as high as 70%. This lack of accurate, asset-level data makes it difficult for financial and energy sectors to manage risks associated with increasing methane regulations.
Solution
Orbio Earth provides a data fusion platform that leverages satellite imagery to deliver real-time methane emissions tracking for oil and gas infrastructure. The platform enables operators and financial institutions to identify the durations of super-emitter events and prioritize reduction opportunities. By reconciling satellite emissions data with emission factor datasets, Orbio Earth offers improved emission benchmarks for assets, companies, and supply chains, facilitating compliance with emerging regulations and mitigating financial risks.
Target Audience
The primary users are oil and gas operators seeking to reduce emission risks and private equity and finance firms aiming to understand portfolio exposure to methane emissions.
Features
- Real-time methane monitoring using satellite data, capturing images every four days from any site.
- Identification of super-emitter event durations to prevent the 91-day assumed duration under the EPA program.
- Root cause analysis linking emission events to specific site and source types.
- High spatial resolution data enabling attribution of emissions to specific assets.
- Reconciliation of emissions data with non-emission datasets to inform existing reporting efforts and aid with risk identification.