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- Title
APPLICATION OF RESPONSE SURFACE METHODOLOGY (RSM) FOR THE MODELLING AND OPTIMIZATION OF SAND MINIMUM TRANSPORT CONDITION (MTC) IN PIPELINE MULTIPHASE FLOW.
- Authors
Salam, Kazeem K.; Arinkoola, Akeem O.; Aminu, Mohammed D.
- Abstract
This study investigated the influence of three operational parameters (liquid viscosity, pipe diameter and sand concentration) and their interactions on sand minimum transport condition (MTC) in multiphase pipelines using response surface methodology (RSM). Historical data: liquid viscosity (A) at 1, 7, 20, 105, 200, 340 cP; pipe diameter (B) at 0.0776 and 0.10 m; sand concentration (C) at 50 and 200 lb of sand per 1000 bbl of fluid, were correlated with the response (MTC). A two-factor interaction (2FI) regression model was developed and validated prior to optimization studies. The effects of the combination of these factors were also ascertained with 3D plots. The result showed that the predicted data had a reasonable agreement with the experimental data with the values of R2 (0.9941) and Adj-R2 (0.9869). The predicted optimum conditions of the operating parameters were observed at liquid viscosity (335.63 cP), pipe diameter (0.08 m) and sand concentration (115.61 lb/bbl) to achieve minimum sand MTC of 0.130242 m/s which were coherent with the experimental optimum conditions 340 cP liquid viscosity, 0.08 m pipe diameter, 125 lb/1000bbl sand concentrations and 0.130242 m/s MTC. Liquid viscosity and pipe diameter were the most significant operating parameters from the 3D plots. The study revealed that the response surface methodology (RSM) is an efficient statistical technique for providing appropriate empirical model for relating the operational parameters, and predicting the optimum operating conditions affecting sand MTC, a veritable parameter in evaluating sand transport in pipeline multiphase flow.
- Publication
Petroleum & Coal, 2018, Vol 60, Issue 2, p339
- ISSN
1335-3055
- Publication type
Academic Journal