Data Analytics for Subsurface Data Management | Katalyst

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Katalyst 360: Analytics for Subsurface Data Management

Find value deep within your data. Introducing Katalyst 360, a self-service data analytics environment that gives you the ability to gain insight into the subsurface data within your organization and extract the most value from those data assets.

The Katalyst 360 analytics platform gives oil and gas companies a 360 degree view of their subsurface data.  Users can utilize provided analytics dashboards that measure project status, data completeness and process efficiency. Users can also customize their subsurface data analytics reports to truly unleash their data’s potential.


The Katalyst 360 analytics platform gives oil and gas companies a 360 degree view of their subsurface data volumes.

Subsurface Data Analytics Insights and Opportunities

Data analytics provide live and up-to-date reports and dashboards that are synchronized to an oil and gas company’s upstream dataset. Katalyst 360 empowers energy companies as well as our own consultants with the ability to extract insight from subsurface data assets.

The subsurface metadata within iGlass is the starting point, and plans are to further enrich the environment with additional data, including oil and gas operational data and public data, enabling predictive and prescriptive analytics.  Hands-on workshops and consulting services will be available to help clients use the analytics to better understand and gain insight from their data. Finally, Katalyst’s subsurface consultants can create custom solutions to achieve your specific objectives.

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Katalyst Data Management

Exploratory Data Analysis

Obtain a general understanding of what subsurface data assets have been amassed through all E&P projects. In other words, understand the ‘big picture’ of what data has been loaded to date. Uncover insights and opportunities that lead to prescriptive actions to improve the value of their subsurface data assets.

Data Completeness

When you have a complete dataset, the value of that data is much higher. Field, navigation and supporting documentation such as observer’s reports are needed in order to reprocess the data, for example. Analyzing data completeness allows you to locate and identify gaps in a dataset, and also map out actions to correct the situation.

Data Quality

Find metadata gaps and inconsistencies within specific database fields and resolve to improve database organization, searchability and usability. Given that most end users start their searches and orders from a map, data that is “not map visible” won’t show up in searches by end users. Missing navigation data is often the reason that data isn’t visible on the map. Without navigation coordinates, the data has no immediate value to geoscientists.

Entitlements and Ownership

Get entitlements and ownership under control. Proprietary data can be marketed for license or sale, earning revenue rather than simply sitting on the shelf. On the flip side, exposing data for sale that has indeterminate ownership could lead to messy legal issues, so proving entitlement to data is critical.

Data Science for the Oil and Gas Industry

Our data science team is made up of experienced subsurface data managers and data scientists. The team’s overall goal is to use data science to solve problems and create opportunities for the subsurface data industry by packaging data in user-friendly way, transforming your subsurface data into insight and opportunity.  Katalyst 360 empowers users with the information and insight to monitor performance, reduce costs and increase efficiency within their organization.

For more information about Katalyst 360 and subsurface data analytics, please contact us.

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