Flow characteristics of heavy oil-water flow during high water-content cold transportation

Lyu, Yang; Huang, Qiyu

doi:10.1016/j.energy.2022.125441

Cited by 9 publications

(1 citation statement)

References 46 publications

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“…With the continuous growth of the crude oil demand and the increasing scarcity of conventional crude oil, the supply of crude oil resources in the world is shifting from light oil to heavy oil. The abundant reserves of heavy oil is bound to play an important role in the global energy market in the coming decades. − However, due to its high viscosity, high density, and poor fluidity, heavy oil poses great difficulties and challenges in its extraction, storage, and processing . At present, pipeline transportation of heavy oil is mainly achieved through three ways: first, viscosity reduction, which refers to reducing the viscosity of crude oil.…”

Section: Introductionmentioning

confidence: 99%

Predictive Model of Restart-Up Pressure Drop after Shutdown for Heavy Oil–Water Ring Transportation Pipeline

Yin,

Wen,

Lin

et al. 2024

ACS Omega

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Aiming at the problem of restart-up for a heavy oil−water ring transportation pipeline due to instability and damage of the water ring, based on the self-developed design of a small indoor loop simulation experimental device and taking four kinds of ordinary heavy oil in the Lvda oilfield as the research object, the change trend of restart-up pressure drop with time is experimentally studied when the pipeline is restarted-up after shutdown at a constant water flow. On the basis of the regression analysis of the orthogonal restart-up experimental data of four factors (oil holdup, oil viscosity, standstill period, and water cleaning superficial velocity) and mixed levels by the statistical product and service solutions statistical analysis software, a multivariate nonlinear restartup maximum pressure drop prediction model is established. Through analysis of the characteristics of each stage of the restart-up process, an exponential decay model of restart-up pressure drop with time is created. The research results show that the variations in restart-up pressure drop with time can be divided into two stages: the attenuation stage and the equilibrium stage. The predicted value of restart-up pressure drop with time is in good agreement with the measured one, and the goodness of fit is very close to 1. The maximum restart-up pressure drop rises along with the increase in oil holdup, oil viscosity, standstill period, and water cleaning superficial velocity. The restart-up time prolongs with the increase in oil holdup, oil viscosity, and standstill period but shortens with the increase in water cleaning superficial velocity.

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