Seismic software identifies every event from surface to region of interest in hours

Jan. 27, 2023
A new software from Geoteric enables operators to de-risk well placement, reduce their environmental impact and increase profitability by better predicting future production.

Offshore staff

LONDON, UK – Geoteric, an artificial intelligence (AI) seismic interpretation company, has released a new software for energy companies that enables operators to de-risk well placement, reduce their environmental impact and increase profitability by better predicting future production.

Building on Geoteric’s AI Fault interpretation that accurately detects faults invisible to the human eye, the new releaseGeoteric 2023.1now includes structurally aware AI Horizons. The technology identifies every event from surface to region of interest in hours, which the company says comes at a crucial time for operators facing demands to fast-track production.

The software enables 100% interpretation of the data in a seismic volume, even in complex geology, in a short time frame. This technology will be essential for the energy sector where shorter seismic interpretation time ultimately equates to assets being brought online safer and faster, the company said.

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.

North Sea well performance case study

An asset that was under appraisal and operated by Ithaca Energy underwent an extended well test (EWT) to gain a better understanding of the productivity and characteristics of the reservoir. The EWT delivered disappointing results, indicating that the volume of connected hydrocarbons was smaller than expected.

Ithaca Energy wanted to leverage Geoteric AI seismic interpretation to have a better understanding of structural and stratigraphic complexities in the subsurface after surprising EWT results indicated that the volume of hydrocarbons in their reservoir was smaller than initially believed.

"Geoteric AI accurately predicted the size of the compartment and hydrocarbon volume in just a couple of weeks. This was corroborated by our well data, explaining the poor EWT results, and is a critical technology to de-risk future drilling," said Dave Brett, Ithaca Energy's senior geoscientist. 

01.27.2023