A tool to improve the ability to find hydrocarbon reservoirs in a more rapid, efficient and economic.
Team Ivan Amat CEO and Founder Electrical Engineer (University of Maryland and UPC) PhD in ICFO and former researcher in Harvard Medical School and Hospital Clínic de Barcelona
David Verde Business Development Geologist (University of Barcelona) Technology Transfer and Project Manager experience in UB, IRBB, PCB, Hospital Clínic and Fundació Bosch i Gimpera
This project is supported by
Automated interpretation of images for delineation of geologic structures of interest
The Problem DAYS OF “EASY” OIL ARE FINISHED OIL EXPLORATION COSTS ROCKET AS RISK RISE
LESS THAN 50% OF CASES PREDICTED VALUE IS CORRECT
GLOBAL SPEND ON ANALYSIS AND INTERPRETATION TECHNOLOGIES IS 10 BN/USD/YEAR
REQUIRES SEVERAL MONTHS AND HIGHLY QUALIFIED STAFF
Oil exploration costs rise.
Our technology allows to automatically delineate geological structures of interest faster and costless. Service is based in a computational engine that allows recognition of complex patterns by artificial intelligence We have developed and validated different algorithms to automatically perform analysis of Ultrasound images for medicine The problem of seismic geophysical image is analogous to ultrasound. We aim to use this biomedical solution for geophysical purposes.
+ PRICE –
Expert + Software
Cost = Price x Efficency
Oil/Gas CO2 , Gas Storage
Pertophysical Properties Estimation
Time to Market
2014 Phase 1
Phase 2 Phase 3
How it Works The truck beats the ground generating a small seismic wave
The wave travels through the subsurface and itâ€™s reflected by different structures, the reflected wave turns back to the surface and is registered by different sensors
The cloud sends back the interpretation in few minutes.
The information is processed and sent to the GeoYmaging cloud
Main Milestones Achieved
Estimated Salt Dome
Real Salt Dome