The Challenge
Connecting Data with Decision Making.
Modern applications use increasingly complex data for modelling and decision-making. However, the exponential growth of data doesn’t always translate into actionable information.
Our Solution
Making data meaningful through Machine Learning.
We develop data-driven solutions to the most complex problems in the field. Our algorithms turn data into actionable information. In Exploration and Production applications they help to improve our understanding of subsurface reservoirs. In Medical applications they help to turn new types of data about the human body into medical diagnosis.
We have been applying machine learning models to detailed human breath spectra in order to detect and identify biomarkers and ultimately improve medical diagnostics.
Exploration & Production
Exploration and Production poses a wide spectrum of problems ranging from seismic analysis and reservoir simulation to equipment maintenance and asset optimization.
Our framework allows us to develop bespoke algorithms that blend Machine Learning with sophisticated analytical methods used in the industry and apply them to the real data.
Exploration
Improvement of geological models by applying ML to seismic surveys.
Geology
Improvement of geological models by applying ML to logging data.
Development
Optimization of field development plan in new zones.
Production
Production modelling and optimization for mature fields.
Geonavigation
Automatic geological assistance and geonavigation of horizontal well placement.
Pumps
Well production optimization and prediction of failures of subsurface equipment.
Medical
Our technology was developed to understand complex relationships in data. We are working to apply this technology to the medical field. New measurement instruments make it possible to collect new types of data about the human body. We use Machine Learning to turn this data into medical diagnoses.
Deep Breath
We have been applying machine learning models to detailed human breath spectra in order to detect and identify biomarkers and ultimately improve medical diagnostics.
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