In a compelling 30-minute webinar titled “Great Data Isn’t Enough; It Has to Be Usable,” Ikon Science unveiled the latest updates to its flagship subsurface data management platform, Curate 2025.2. The session was led by Dr. Alex Edwards, Vice President of Product, who walked viewers through the ...

We are Presenting at the ADTE Conference in Kuala Lumpur, Malaysia Wednesday, April 16, 2025, from 15:20 to 16:50 during Session 15: Optimized Operations Part 2! Pore pressure and fracture gradient workflows haven’t fundamentally changed in decades; static models, disconnected teams, decisions made ...

Ikon Science is excited to be exhibiting at the Fifth EAGE Digitalization Conference & Exhibition from March 24–26, 2025, at the Edinburgh International Conference Centre (EICC), UK. (Learn more)

Challenge: Planning wells often involves the integration and interpretation of multiple datasets and data types to ensure end-member scenarios are captured to allow both safe and cost-effective operations. Comparing real-time information with pre-drill pore pressure models and offset well data is ...

Challenge: Drilling operations are time-sensitive, costly, and not without their risks. Collaboration across all stakeholders can be inherently difficult if we are not all looking at the same data. Drilling operations departments need one solution to view and share both real-time and pre-drill ...

Challenge: Data has a value. We spend money acquiring it, it adds value to our business, and we can trade it and profit from the selling it. So why is so much historical data forgotten? Data, such as paper logs, are stored in archives and are difficult to search through and mesh with other data ...

Challenge: Core data is often our only physical link to the subsurface and yet is often stored in warehouses: abandoned and difficult to access, distribute and integrate with other data.

Challenge: Time is money, so why do we spend most of our time looking for the right data? Studies show that most companies spend more than 50% of time on a project just trying to locate the data they need to make critical decisions.

Demo: Challenge: The OSDUTM promises a standardized, flexible, and scalable data platform for the oil and gas industry. But how can we integrate it with our own data?