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Enterprise Layer Intelligence
Categories/AI Analytics/OriGen.AI
OriGen.AI

OriGen.AI

Founded 2018

Simulate oil and gas reservoirs and plan field development using machine learning models

You can use OriGen AI to model oil and gas reservoirs and simulate subsurface flows much faster than traditional methods. The system builds automated geological models and carries out assisted history matching to reproduce real-world reservoir behavior. You can run physics-informed neural network simulations and black-oil forecasts directly in the cloud. It also identifies ideal well locations and controls for field development projects, letting reservoir engineers test subsurface scenarios, evaluate greenfield developments, and make data-backed drilling decisions without waiting days for compute cycles to finish.

What OriGen.AI does

Generate geological reservoir modelsPerform assisted history matchingSimulate black-oil reservoir behaviorCalculate ideal well coordinatesRun physics-informed neural network simulationsExport simulation files to standard industry formatsPhysics-informed neural network simulator matching standard commercial output formatsPhysical surrogate modeling running significantly faster than traditional numerical simulatorsCloud-based black-oil simulator with high throughputAutomated geological model generation for realistic subsurface modelsAssisted history matching to calibrate models with field production historyField development planning to determine well coordinates and operational controlsDirect compatibility with major cloud infrastructure providers

Frequently asked

Microsoft AzureMicrosoft Azure

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OriGen AI, Proteus, reservoir simulation, field development planning, physics informed neural networks, PINN, assisted history matching, geological modeling, black oil simulation, energy AI, oil and gas, subsurface modeling, well placement, reservoir engineering, Microsoft Azure