A comparative study on sand transport modeling for horizontal multiphase pipeline

Choong, K.W. and Wen, L.P. and Tiong, L.L. and Anosike, F. and Shoushtari, M.A. and Saaid, I.B.M. (2014) A comparative study on sand transport modeling for horizontal multiphase pipeline. Research Journal of Applied Sciences, Engineering and Technology, 7 (6). pp. 1017-1024.

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Abstract

Presence of sand causes adverse effects on hydrocarbon production, pipeline erosion and problems at wellbore. If the problems persist, production may be stopped and delayed. This imposes workover cost. Hence, operating expenses increase and revenue reduces. There is no explicit calculation algorithm for sand transportation modeling readily available in flow simulators. Therefore, this study aims to develop an Excel-based spreadsheet on sand transportation to predict sand critical velocity and onset of sand deposition based on published literature. The authors reviewed nine sand transportation models in pipelines and made comparisons on the selected models based on various criteria. Four of which were then developed into a sand modeling spreadsheet. The four models are the Turian et al. (1987), Oudeman (1993), Stevenson et al. (2002b) Model and Danielson (2007). The spreadsheet presently focuses on sand production prediction in horizontal two-phase flow. The Danielson model can predict sand hold up while the other models estimate grain size transportable and critical velocity of sand. Flowing pipeline properties, sand properties and results of simulations like using OLGA (for flow rate, velocity and superficial velocity of different phases) are necessary inputs of the spreadsheet. A user selects any model based on different operating conditions or user preference. The spreadsheet was validated by comparing data extracted from the research papers. Sensitivity analyses can also be performed with the spreadsheet by manipulating the parameters such as grain size and flow rate. This review is useful for flow simulators' development to include sand transport modeling. © Maxwell Scientific Organization, 2014.

Item Type: Article
Impact Factor: cited By 6
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 09:07
Last Modified: 25 Mar 2022 09:07
URI: http://scholars.utp.edu.my/id/eprint/31365

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