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MOTIVO

Seismic data conceals a wealth of information beyond initial appearances, and manual methods may not fully tap into its complete potential.

 

Log Cube

This innovative solution, employs advanced machine learning techniques to predict log parameters such as Gamma-Ray, Density, and more, througout the entire field, all presented in a log scale.

S.I.N.A.

Enhance the quality of seismic data by reducing noise and improving signal-to-noise ratio (SNR) with Seismic Image Noise Attenuation, our advanced deep learning algorithm.

S.I.Q.E.

Enhance seismic data with exceptional clarity and improved subsurface understanding using Seismic Image Quality Enhancement, a well data-free deep learning solution.

Digital Material Purchasing

Leveraging AI technology to create a centralized database and integrated modules for a more resilient procurement process.

 

AIQUM

Taking Sand Management to the next level by utilizing AI and Signal processing in sand production detection and quantification.

 

CoreDB

Establishing core inventory structures, standards, and a user-friendly web platform for boosting the value of core data and improving decision-making processes.

 

MIQSARS

Using the combined forces of satellite imagery, thermal drones, and AI algorithms to accurately locate and measure methane emissions in the oil and gas industry.

Wax Prediction

Intelligent model to predict wax precipitation in the oil and gas industry using a Feed-Forward Neural Network trained on DTS data.

 

ePattern

Making the cloud-based pattern management platform’s modular structure versatile and applicable to any data-driven field.

 

WORK WITH PRO TEAM

Would you like to have an R&D project? Let’s talk about it!

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