Pipeline optimizer system

Abstract

One embodiment of the invention provides a method for optimizing a variety of aspects of pipeline operations by using a genetic algorithm. Generally, the genetic algorithm is used to evolve a population of feasible solutions over successive generations until a termination condition is satisfied. Each solution specifies a feasible operational state of the pipeline system. Over successive generations existing solutions are modified, and an identified solution in the population is removed at each successive generation. Over repeated generations, the solutions in the population improve. Once an optimized production solution is generated, an optimized pressure solution may be generated using a direct pressure optimization process.

Description

Background technique [0001] Typically, a piping system consists of a continuous line of pipes and also includes equipment such as valves, compressor stations, communication systems and metering devices used to transport liquid or gaseous substances from one point to another, usually from a production or processing point to another production or processing point, or point of use. For example, FIG. 1 shows a dual conduit system that also includes a gaseous nitrogen conduit running parallel to the gaseous oxygen conduit. Plants are shown at various locations along the pipeline route where air separation units, compressors, boosters, regulators and other plant elements operate to introduce material into the pipeline. [0002] Optimizing the operation / running of a piping system such as the one shown in Figure 1 is a complex undertaking. In particular, it has been demonstrated that optimizing piping systems to take into account power costs at each node, reconfigurable elements (e....

AI Technical Summary

Problems solved by technology

This often leads to suboptimal solutions

Additionally, even when current systems have been shown to determine high-quality solutions, they often fail to do so in a reasonable amount of time

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