Maximize Upstream Production Yield and Recovery

Insufficient and delayed visibility into upstream production

AI-based virtual meters deployed to every point of interest across wells and surface network assets

Convoluted production back-allocation

Continuously predict multi-phase flow rates at the individual well level with accuracy estimations

Poor artificial lift and injection performance caused by inadequate set points

Holistic yield optimization of all artificial lift and injection wells across a field in addition to integration with Baker Hughes ProductionLink

Hard-to-maintain, slow-to-update, and deterministic physics-based models

Agile, continuous and stochastic hybrid predictions that leverage deep machine learning and surrogate models

Aggregate and inaccurate production forecasting

AI-based hydrocarbon production forecasting leverages all relevant historical data to provide accurate and granular insights

Inefficient collaboration across multiple parties, data repositories, and tools

A unified, integrated, and OSDU-compatible application to streamline collaboration across key production operations