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A Survey on Optimization Parameters and Techniques for Crude Oil Pipeline Transportation

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Modeling, Simulation and Optimization

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 292))

Abstract

In recent decades, the high cost of carrying oil and gas via pipelines has compelled analysts to develop optimization methods to assist pipeline managers in operating pipeline grids at the lowest possible cost. The network and operations of crude oil pipelines are very complicated. Pumps powered by crude oil engines are utilized in most situations, with gas-powered generators or turbines used in a few instances. Energy and heating expenses account for about 45–65% of the operational costs incurred in transporting crude oil to refineries. Pour point depressing chemicals, DRA dosage, and other expenses are also significant. Many optimization studies have been conducted on crude oil pipelines, including design, operations, network, scheduling, and maintenance, among other areas. Most works utilize classical algorithms in the early stages and dynamic algorithms in the later stages; however, contemporary evolutionary algorithms have become popular for optimizing oil pipeline transportation optimization. The article first reviews the efforts made by researchers in the design stage of the pipeline. Further, the optimization strategy followed in pipeline operations is considered. Later the rheological properties of waxy crude oil along with optimization strategy have been discussed. Furthermore, the difficulties associated with improving crude oil pipeline operations and the potential for future optimization in the pipeline sector are addressed in detail. This research will benefit crude oil pipeline operators, engineers, and researchers in the relevant area by providing a comprehensive understanding of the many kinds of optimizations that may be carried out in complicated oil transport operations.

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Correspondence to Amrit Sarkar .

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Sarkar, A., Arya, A.K. (2022). A Survey on Optimization Parameters and Techniques for Crude Oil Pipeline Transportation. In: Das, B., Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Modeling, Simulation and Optimization. Smart Innovation, Systems and Technologies, vol 292. Springer, Singapore. https://doi.org/10.1007/978-981-19-0836-1_43

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