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Dynamic modeling & simulation of oil & gas Processing, control & optimization

By: Series: Bader, F.P ; Description: 3 pDDC classification:
  • CD W938 1 0013960
In: v. 5, p. 309Summary: Resumen del autor, extraído del trabajo. Modeling and simulation of oil and gas recovery and processing is used extensively to investigate and define project viability and make improvements in upstream and midstream assets. Nothing is usually known about ultimate performance, operability, stability, or control constraints using process (only) modeling. In most cases, only steady state modeling is used, producing more questions than answers. The ability to extend models into a dynamic mode complete with simulated control and optimization has been unattainable, due to diverse technology, high integration cost and capital control commitments well in advance of potential viability. Yet, the ability to dynamically model a complex control strategy and optimization with the process model can make a significant difference in determining economic viability and ROI. And the database derived from the model can become the design specifications for the process, automation, optimization and safe operation of the process, thereby decreasing the risk. This session walks the attendees through the dynamic modeling of a gas plant process, control, operation and optimization to produce a uniform design database and specification at an economic cost.
Item type: Archivo electrónico

Resumen del autor, extraído del trabajo. Modeling and simulation of oil and gas recovery and processing is used extensively to investigate and define project viability and make improvements in upstream and midstream assets. Nothing is usually known about ultimate performance, operability, stability, or control constraints using process (only) modeling. In most cases, only steady state modeling is used, producing more questions than answers. The ability to extend models into a dynamic mode complete with simulated control and optimization has been unattainable, due to diverse technology, high integration cost and capital control commitments well in advance of potential viability. Yet, the ability to dynamically model a complex control strategy and optimization with the process model can make a significant difference in determining economic viability and ROI. And the database derived from the model can become the design specifications for the process, automation, optimization and safe operation of the process, thereby decreasing the risk. This session walks the attendees through the dynamic modeling of a gas plant process, control, operation and optimization to produce a uniform design database and specification at an economic cost.



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