Belmont Technology has developed a cloud-based SaaS platform powered by ‘Sandy’, a cognitive system that dramatically accelerate subsurface workflows by answering queries from geoscientists and reservoir engineers.

• A library of pre-trained AI agents on different geological contexts and public dataset (Data-As-A-Service).
• A ‘plug-and-play’ workbench to connect with third parties machine learning applications and analytics

Developed a cognitive system to answer typical questions from geoscientists and reservoir engineers that can:

• Understand natural language
• Disambiguate intents and context
• Access structured information and concepts (knowledge graph)
• Plan and execute tasks autonomously (skills engine and intelligent agents)
• Get results and deal with results variability (consistency solver)
• Action GUI and communicate to user (innovative software architecture)

Developed a physics based AI solution to predict reservoir properties with a speed up factor of x10,000 and 99% accuracy. AI learns to solve partial differential equations from Big Simulation Data for direct application in petroleum systems, stratigraphy modeling, geomechanics and flow simulation.

Developed a cognitive system pre-trained on large public dataset (starting onshore US) to jump start projects

Data/Knowledge Management

• Process unstructured database for fast evaluation by new venture teams
• Discipline knowledge capture and analogs data

Workflow Automation

• Workflow automation for sweet spot identification and infill drilling plan
• Seismic interpretation vs geology consistency check

Fast Simulation

• Prediction of petroleum systems and reservoir parameters
• Instant prediction of reservoirs architectures