Earth Science Analytics
Earth Science Analytics (ESA) is a geoscience AI company specializing in subsurface data analysis for the energy sector.
Profile
AI-powered analysis of geological data for energy exploration.
Earth Science Analytics (ESA) is a geoscience AI company specializing in subsurface data analysis for the energy sector. Founded in Norway, the company has positioned itself as a digitalization partner for oil and gas firms, leveraging machine learning to interpret seismic and well data. Its EarthNET platform integrates cloud computing and AI to streamline exploration workflows.
ESA has secured partnerships with major energy players like Equinor, TotalEnergies, and ConocoPhillips, as evidenced by client logos on its site. In a strategic move, IMDEX acquired a majority stake in ESA, signaling consolidation in the geoscience AI space. The company collaborates with PETRONAS on Malay Basin exploration and has published technical papers on applications like missed pay identification and CCUS site characterization. While ESA doesn't disclose financials, its enterprise deployments with TotalEnergies and others suggest traction in upstream digital transformation.
Who buys this
- Oil and gas exploration companies
- National oil companies
- Carbon capture and storage providers
- Energy data service providers
- Geoscience consultancies
Publicly disclosed clients
- Equinor
- TotalEnergies
- ConocoPhillips
- Aramco
- Wintershall Dea
- PETRONAS
Strengths and what to watch
Strengths
- Enterprise deployments with major energy firms like TotalEnergies
- Published peer-reviewed technical papers validating methodology
- Strategic acquisition by IMDEX providing industrial backing
Watch for
- Dependence on oil and gas sector amid energy transition
- Integration challenges post-IMDEX acquisition
- Competition from Schlumberger and Halliburton's AI offerings
Recent moves
Key Information
- Founded
- 2012
- Headquarters
- AI-driven
Frequently Asked Questions
What does Earth Science Analytics do?
Earth Science Analytics provides AI-powered subsurface data analysis for energy companies. Their EarthNET platform uses machine learning to interpret seismic and well data, helping oil and gas firms streamline exploration. The Norway-based company works with major clients like Equinor and TotalEnergies on digital transformation in energy exploration.
How does AI help in oil and gas exploration?
AI accelerates oil and gas exploration by analyzing seismic and well data faster than traditional methods. Earth Science Analytics' machine learning identifies patterns humans might miss, like overlooked reservoirs or optimal carbon storage sites. Their technology helps reduce exploration risks and improve decision-making for energy companies.
Which companies use Earth Science Analytics' technology?
Major energy firms like Equinor, TotalEnergies, and ConocoPhillips use Earth Science Analytics' AI platform. National oil companies including PETRONAS and Aramco also partner with them. Their enterprise deployments focus on upstream digital transformation, with published case studies on Malay Basin exploration and CCUS site characterization.
What is EarthNET platform used for?
EarthNET is Earth Science Analytics' cloud-based AI platform for geological data analysis. It integrates machine learning to interpret seismic surveys and well logs, helping identify hydrocarbon reservoirs and carbon storage sites. The system streamlines exploration workflows for oil companies and has been validated through peer-reviewed technical papers.
Who owns Earth Science Analytics?
IMDEX acquired a majority stake in Earth Science Analytics in late 2025, providing industrial backing for its geoscience AI technology. This strategic move strengthened ESA's position in the competitive market against offerings from Schlumberger and Halliburton while maintaining its focus on energy sector digitalization.
Can AI help with carbon capture site selection?
Yes, Earth Science Analytics applies machine learning to characterize carbon storage sites using legacy geological data. Their AI identifies suitable formations for CCUS projects by analyzing subsurface structures. This approach was demonstrated in a published case study, showing how AI can repurpose existing data for energy transition applications.
Sources
- www.earthanalytics.ai — Client logos and product offering
- blog.earthanalytics.ai — IMDEX acquisition and PETRONAS partnership
- www.earthanalytics.ai — Technical validation through published papers
- geoexpro.com — CCUS application case study