Ready for people today. Ready for AI tomorrow.
Most oil and gas companies sit on decades of valuable engineering data that is hard to reach, harder to trust, and not ready for what is next. We clean, structure, and connect that data — so your reservoir and production teams can use it today, and your AI systems can rely on it tomorrow.
Data Foundation
Industrial data is only valuable when it is organized correctly.Data Foundation
We design data foundations based on how subsurface and production teams actually work. Because we come from the same domain, we understand the real relationships between wells, reservoirs, laboratory data, production history and technical documents.
The result is a trusted data foundation that makes information easier to search, visualize, analyze and use—both for engineers today and AI applications tomorrow.
Featured project
NCS Insight – TerraMetrix designed and built the engineering data foundation for OREC’s NCS Insight platform by collecting, cleaning, restructuring and integrating public DISKOS data into a consistent, analysis-ready database
Report Processing
Many engineering reports exist only as scanned PDF documents. They cannot be searched, analyzed or reused without extensive manual work, and poor scan quality often makes them difficult to read—even for experienced engineers.Report Processing
We combine AI with subsurface expertise to extract structured data from technical reports. Because we understand the domain, we don’t stop at reading the text—we validate the extracted data against engineering rules and physical models before it becomes part of your data foundation.
The result is trusted engineering data that can be searched, analyzed and reused instead of remaining locked away in PDF reports. Every extracted value remains traceable to the original document and can be reviewed and corrected before approval.
Featured project
PVT Report Reader – TerraMetrix developed an AI-assisted workflow that extracts data from scanned PVT reports, validates the results using engineering models, assigns a quality score and allows every extracted value to be reviewed before it is stored in the database.
See it in action
Data Integration
Engineering decisions often depend on data from multiple sources. Public datasets, company databases and results from specialized software are rarely connected, making comparison and analysis a manual process.Data Integration
We combine data across systems while preserving its engineering context. Because we understand subsurface workflows, we can connect information from different sources in ways that are meaningful for engineers—not just technically compatible.
The result is a single, consistent view of your data, making it easier to compare, visualize and analyze information across projects and data sources.
Featured project
NCS Insight – TerraMetrix developed the data integration framework that allows customers to combine their own data with public DISKOS data without exposing it to other users.
Engineering Analysis
Engineering questions rarely have standard answers. Every field, dataset and project is different, making spreadsheets and off-the-shelf software insufficient for many analytical workflows.Engineering Analysis
We develop tailored analysis workflows that combine engineering expertise with modern data science tools. Whether the task involves reservoir simulation, production data or laboratory measurements, we build reproducible analyses that can be reused and extended as new data becomes available.
The result is faster, more reliable engineering analysis with complete transparency in every calculation.
Featured projects
Reservoir simulation analysis – Jupyter Notebook workflows for Eclipse summary and restart files, including ensemble analysis of hundreds of realizations.
Engineering Search
Engineering data is easy to store—but often difficult to find. Questions like * Which wells have SCAL data for this formation? * Are there analogue reservoirs with similar PVT properties? * Which reports mention this fault block? often require searching across multiple databases and hundreds of documents.Engineering Search
We build engineering knowledge graphs that preserve the relationships between data, making engineering information searchable by context instead of location.
The result is faster answers today—and a foundation for AI assistants tomorrow.
Featured project
Knowledge Graph for the ????– TerraMetrix connected wells, formations, laboratory data and technical reports into a searchable engineering knowledge base.
AI Assistants
AI assistants can only give reliable answers when they have access to well-structured data, clear relationships and trusted source documents. Without this foundation, they may miss important information or return answers without sufficient context.AI Assistants
We build AI assistants that work with engineering databases, reports and analysis results. Because we understand both subsurface workflows and the underlying data, we can define what the assistant should search, how different sources should be combined, and which engineering rules should be applied.
The result is an assistant that helps engineers find information, compare data and perform defined tasks, while keeping every answer connected to its original source.
In practice
A TerraMetrix assistant can search across structured data and technical documents, answer engineering questions, show the sources behind the answer and support repeatable workflows such as data screening, report review and comparison of wells or reservoirs.
