EarthNET: Revolutionizing Geoscience Analytics with AI

EarthNET is a cloud-native, web-based AI platform developed by Earth Science Analytics, designed to transform geoscience workflows in the energy sector. Built for oil & gas, carbon capture and storage (CCS), and renewable energy industries, it leverages high-performance computing and artificial intelligence to accelerate data processing, improve prediction accuracy, and reduce operational costs. With a focus on seamless integration into existing client infrastructure, EarthNET enables teams to streamline subsurface data analysis through advanced automation and collaboration tools. It empowers geoscientists and energy professionals to make faster, more accurate decisions using AI-driven insights across seismic interpretation, well data analysis, image processing, and 3D property modeling.

Key Features:

• EarthNET Data Lake: Centralized, cloud-native repository for managing diverse geoscience data types (well, seismic, image, lab, cultural) with indexing, georeferencing, and metadata tagging.
• EarthNET Viewer: Interactive web-based tool for visualizing, querying, filtering, and analyzing geoscience data across multiple platforms.
• EarthNET AI Images: Computer vision-powered tool for interpreting cuttings and core images using object detection, classification, and segmentation with pre-trained models and uncertainty quantification.
• EarthNET AI Wells: Machine learning-driven solution for rapid well log interpretation, reducing a 13–27 year workflow to just 3 months, with support for lithology, porosity, water saturation, and more.
• EarthNET AI Seismic Interpretation: AI-powered module using 2DCNN and 3DCNN models to interpret faults, horizons, geobodies, and stratigraphic zones, accelerating workflows by over 10x.
• EarthNET AI Seismic Properties: AI tool for predicting reservoir properties (e.g., VP, VS, density, porosity, permeability) from seismic data, generating 3D property cubes in weeks instead of months.
• EarthNET Insights: Decision-support system combining AI predictions with human expertise for enhanced analysis and interpretation.
• Active Learning Workflows: Continuous model improvement with minimal manual effort, enabling iterative refinement of AI predictions.
• Model Library & Version Control: Stores and tracks trained AI models with metadata, supporting performance monitoring and model updates.
• OSDU™ Integration: Fully compatible with the OSDU™ Data Platform for interoperability and data exchange.
• Multi-Client Products: Offers analytics-ready basin-scale 3D-property volumes and interpreted data (NNS, US Gulf of Mexico, Utsira OBN, NCS) for shared industry insights.
• No-Code Interface: Enables users to train and customize AI models without programming knowledge.
• Custom Model Integration: Support available for tailoring models to specific project needs.
• In-App Support & Help Center: Real-time assistance via in-app widget and access to a comprehensive knowledge base.

Pricing: EarthNET operates on a subscription-based model with tiered access and full platform subscriptions including AI applications for automated data interpretation. A free trial is available for prospective users to experience the platform’s capabilities.

Conclusion: EarthNET is a powerful, future-ready geoscience analytics platform that dramatically accelerates data interpretation, enhances accuracy, and supports sustainable energy transitions—ideal for energy professionals seeking intelligent, scalable, and collaborative AI solutions.