Earth Science Analytics provides the EarthNET suite, a cloud-based geoscience platform that utilizes machine learning and high-performance computing to analyze and interpret subsurface data. This technology enables energy companies to reduce seismic interpretation time by over 90% and improve prediction accuracy by more than 95%, addressing the inefficiencies of traditional data analysis methods.
Funding
$10.9M 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.
Founders
Product
Problem
Energy companies face challenges in efficiently analyzing and interpreting vast amounts of subsurface data, leading to delays in critical decision-making for oil and gas exploration, carbon capture and storage (CCS), and renewable energy projects. Traditional data analysis methods are often time-consuming and may not fully leverage the potential of available datasets.
Solution
Earth Science Analytics offers EarthNET, a cloud-based geoscience platform that utilizes machine learning and high-performance computing to accelerate and improve subsurface data analysis. EarthNET enables energy companies to integrate and analyze diverse datasets with greater speed and precision, uncovering hidden insights for optimized decision-making. The platform facilitates the identification of overlooked hydrocarbons, optimizes production in existing fields, supports the development of CCS sites, and aids in the placement of wind farms. By automating workflows and providing advanced data analytics and visualization capabilities, EarthNET helps clients unlock the full potential of their subsurface data.
Target Audience
The primary target audience includes oil and gas companies, carbon capture and storage developers, and renewable energy companies seeking to optimize subsurface data analysis for improved decision-making in exploration, production, and site development.
Features
- Cloud-native platform accessible through existing infrastructure
- AI-powered workflows for seismic interpretation, fault detection, and geological trend analysis
- Pre-trained machine learning models for predicting overlooked hydrocarbons and characterizing carbon storage sites
- Data ingestion capabilities for integrating diverse subsurface datasets into the OSDU Data Platform
- Advanced data analytics and visualization tools for identifying patterns and correlations
- Workflow automation capabilities for streamlining geoscience processes