Quality Assurance in Flow Through Oil and Gas Pipelines

Muhammad Atif, Rakesh Mishra, Matthew Charlton, Andrew Limebear

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Oil and gas pipelines are extensively used in the energy industry. The optimal performance of these pipelines is essential to maintaining energy supply cost-effectively. In downstream operations, flow assurance is of paramount importance. Control valves are vital components of the oil and gas pipelines as they control and regulate the flow parameters. The valves have complex flow areas resulting in the generation of high shear forces which causes strong emulsification in the mixture. This emulsified mixture is difficult to separate and results in extra resources such as additional separation time and chemical additives resulting in a significant increase in the cost of the separation process. In the present work, the effect of the presence of a valve on enhanced mixing in oil and gas pipelines has been quantified. Novel indicators namely, Mixing Coefficient Mc, Modified Mixing Coefficient (MMc) and Velocity-involved Modified Mixing Coefficient (VMMc) based on the in-situ properties have been used for quantifying the mixing behaviour. The computational Fluid Dynamics based globe valve model has been simulated using different velocities and oil volume fractions. Various cross-sectional planes inside the valve and in the straight pipe are created and, Mc, MMc and VMMc are computed at those planes. The mixing behaviour of the valve has been quantified and a considerable increase in the mixing has been observed as compared to the straight pipe. Suggestions have been provided as to how to minimise the mixing effects through the design modifications.

Original languageEnglish
Title of host publicationInternational Congress and Workshop on Industrial AI and eMaintenance 2023
EditorsUday Kumar, Ramin Karim, Diego Galar, Ravdeep Kour
PublisherSpringer Nature Switzerland AG
Pages789-801
Number of pages13
ISBN (Electronic)9783031396199
ISBN (Print)9783031396182
DOIs
Publication statusPublished - 2 Jan 2024
Event7th International Congress and Workshop on Industrial AI and eMaintenance - Luleå, Sweden
Duration: 13 Jun 202315 Jun 2023
Conference number: 7

Publication series

NameLecture Notes in Mechanical Engineering
PublisherSpringer
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference7th International Congress and Workshop on Industrial AI and eMaintenance
Abbreviated titleIAI 2023
Country/TerritorySweden
CityLuleå
Period13/06/2315/06/23

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