ECIM 2026

Haugesund, September 14-16

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Meet Cegal at ECIM 2026
The E&P Community for Data and Information Management

September 14-16
Quality Hotel Maritim, Haugesund, Norway

As a main ECIM Conference Partner, Cegal will present a range of topics and discuss Data Management and Information Management within the Energy industry.

Subsurface Data Services

How can we help you support data insights to enable better decision-making?

Subsurface data management encompasses the entire lifecycle of data related to the exploration and production of oil and gas resources, as well as Carbon Capture and Storage.

From data acquisition and storage to integration, analysis, and interpretation, effective data management practices enable oil and gas companies to make informed decisions, improve operational efficiency, and optimize resource extraction in a complex and dynamic subsurface environment.

At Cegal, we have built a suite of products and services designed to support different aspects of the subsurface data pipeline.

Presenting at the Plenary Session Wednesday | 13:50

Data is currency: why we need a data foundation fit for AI and ML
by Rebecca Williams, Data Products Portfolio Manager, Cegal

Get in touch or book a meeting?

Make sure to fill out the form if you have any questions or to book a meeting with us during ECIM 2026.

The ECIM 2026 team

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As Data Products Portfolio Manager, Rebecca oversees Cegal’s suite of subsurface data management products. She is responsible for the strategic direction, and with her team delivers unique data management solutions tailored to our industry's evolving needs. As a geoscientist by background, she understands customers’ perspectives and challenges, and she brings 12+ years of industry experience.

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Adam Watt is a Product Manager at Cegal, focused on technical and subsurface data management for the energy industry. He leads the development of Cenova, a platform designed to help organizations gain control of fragmented data estates through improved visibility, governance, and optimization. His work centers on turning complex data challenges into practical, scalable solutions that support better decision-making and operational efficiency.

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