From crude oil to LNG, oil and gas refineries rely on the fundamentals of process engineering to achieve consistent product quality. However, refinery operations are often complex, making optimization challenging:
Heterogeneous material quality
Complex multi-step reaction dynamics
Noisy or sparse sensor information
Oil Drilling Operations
With Basetwo, companies can connect to several data sources and leverage ML to predict power load and adaptively schedule diesel generator sets and/or energy storage systems to reduce power consumption, generator operating hours, and GHG emissions.
Drilling rigs can consume energy and emit GHG emissions equivalent to what’s required to power thousands of homes, even with dynamic power load profiles and alternative energy sources.
From FCC to steam reforming or gasification units, conversion processes are usually the most complex unit operations in a refinery. Due to nonlinearities and raw material disturbances, controlling and operating conversion unit operations is challenging, let alone optimizing them.
Basetwo empowers process engineers with a low code platform that provides an up-to-date digital representation of their conversion unit operations that enables real-time process understanding.
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.
Reducing the energy consumption of distillation is complex due to nonlinearities of upstream process disturbances that influence current operating conditions and process efficiency.
Basetwo’s modeling and optimization capabilities leverage industry-proven methods to generate and accurately predict operating information, enabling engineers to rapidly react to changes in process conditions driven by upstream output or other disturbances.