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Deploy and scale real-time AI copilots to optimize oil & gas operations
Basetwo provides a complete process engineering solution that integrates data pipelining, model simulation, economic optimization, and quality control into a single low-code platform.
See our platformFrom crude oil to LNG, oil and gas refineries rely on the fundamentals of process engineering to achieve consistent product quality. However, oil and gas operations are often complex, making optimization challenging.
The Basetwo platform provides engineers with support at any point in their workflows including upstream, midstream, and downstream processes.
Upstream Operations
The Basetwo AI copilot gives engineers recommendations to optimize their upstream oil and gas operations, resulting in reduction of cost and emissions.
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DecarbonizationThe Basetwo platform enables a reduction of diesel fuel consumption and emissions at drilling rigs by supporting engineers in predicting rig state and scheduling generators.
Production optimizationWith Basetwo engineers can leverage AI optimization of degassing stations to streamline separation to reduce hydrocarbon loss and carryover. They can also receive recommendations for production well flows to maintain Gas Oil Separation Plant targets.
Well fault detection & integrity managementUsing AI, engineers can predict cement bond quality for onshore well integrity, predict asphaltene precipitation to mitigate well blockage, and perform optimization of the well safe operating envelope.
Midstream: LNG Liquefaction
Optimizing the LNG liquefaction process is a significant challenge as it requires balancing a number of conflicting objectives, such as maximizing energy efficiency, reducing costs, and ensuring the quality of the final product.
Basetwo allows plants to leverage multi-objective optimization functions to simultaneously optimize several control variables in LNG liquefaction, such as adaptive tuning of refrigerant flow rates, inlet and outlet pressures of compressors and expanders, and the exit temperature after heat exchangers based on dynamic feed gas profile to minimize energy consumption and maximize LNG quality.
Downstream
Digital Twins for Refineries: Leverage a library of dynamic process models and low-code interfaces for real-time troubleshooting, and “what-if” analyses.
Predictive Blending Optimization for Lubricant & Gasoline Plants: Use a real-time AI workflow to predict and optimize blending targets and octane levels to improve process efficiency and minimize giveaway.
Production Optimization for Refineries: Substitute LP models with reinforcement learning to optimize economic production planning more efficiently.
Downstream Operations
Using Basetwo, engineers can leverage digital twins to optimize their downstream oil and gas operations, increasing production efficiency while reducing costs.
Digital Twins for RefineriesLeverage a library of dynamic process models and low-code interfaces for real-time troubleshooting, and “what-if” analyses.
Predictive Blending Optimization for Lubricant & Gasoline PlantsUse a real-time AI workflow to predict and optimize blending targets and octane levels to improve process efficiency and minimize giveaway.
Production Optimization for RefineriesSubstitute LP models with reinforcement learning to optimize economic production planning more efficiently.
See how Basetwo can deliver:
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