New AI seismic interpretation software launched

GLOBAL ARTIFICIAL INTELLIGENCE (AI) seismic interpretation experts Geoteric have released Geoteric 2023.1 including structurally-aware AI Horizons, building on its cutting-edge AI Fault Interpretation that accurately detects faults invisible to the human eye.

The technology identifies every event from surface to region of interest in hours, and comes at a crucial time for operators facing demands to fast-track production, enabling them to de-risk well placement, reduce their environmental impact and increase profitability by better predicting future production, the company says. The software enables 100% interpretation of the data in a seismic volume, even in complex geology, in a very short time frame.

The software enables 100% interpretation of the data in a seismic volume, in a very short time frame.

Geoteric 2023.1 continues to leverage the combination of geoscientist expertise with the guidance of AI. The new user-friendly workflows bring together AI Faults and AI Horizons, reducing the time it takes to make accurate volumetric calculations or create structural models with the automatic fault surface extraction tool and one-click transfer to third party modelling software.

Nicola Blanshard, CEO at Geoteric said, “We’re proud to be the first AI seismic interpretation provider to deliver these innovative capabilities to our customers around the world. Users will now be able to complete projects faster than ever before with no compromise on accuracy or quality, whether they need to understand compartmentalisation of their reservoir for better production prediction, de-risk future well placement or be able to quickly identify suitable and safe locations for carbon capture and storage (CCS) sites. We believe that seismic interpretation is at its most powerful when human and artificial intelligence are combined, and this is true now more than ever. By reducing the time to complete tasks with no reduction in accuracy, our software enables companies to make better business decisions. We’re literally expanding their horizons.”

Ikon Science issues software updates

IKON SCIENCE HAS introduced updates to its subsurface knowledge management software, Curate 2023.2, and RokDoc 2023.2.

Curate 2023.2 offers greater flexibility, efficiency, and a more user-friendly data organisation and visualisation experience. It includes several new features, such as a preview option for datasets, the ability to colour-code wells on map views and an upgraded search and filter function in the Data Explorer app. Curate's comprehensive and easy-to-use platform provides users with quick and easy access to all subsurface data, enabling them to have a greater understanding of the subsurface to make well-informed business decisions.

Curate 2023.2 also features significant enhancements allowing teams to work collaboratively and share data effortlessly.

“These improvements to the Curate platform are expected to deliver immediate benefits to all users,” said Monica Beech, product manager of Data Management and Visualization at Ikon Science. “Our goal is for every Curate user to access data quickly and create knowledge from it, leading to improved business decisions.”

RokDoc 2023.2 expands functionalities in machine learning (ML), rock physics, and provides new visualisation measurement tools to document success. The new release features the addition of Extreme Gradient Boosting (XGB), one of the most popular and best algorithms for regression and classification problems. XGB is built using supervised machine-learning (ML) decision trees, ensemble learning, and optimised gradient boosting techniques. It focuses on speed, flexibility, and model performance. The latest developments improve ML workflow results while providing data statistics plots to support geoscience workflow documentation.

In this release of RokDoc, Ikon Science has made inversion QC easier with a track manager to ensure user-made track-ordering changes occur across all wells. Vertical zoom and user-added tracks are preserved upon re-calculation of the inversion for results comparison and documentation. Work becomes more efficient, with less time focused on visual settings and more time spent refining results.