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https://repository.sustech.edu/handle/123456789/19242
Title: | Prediction Production Performance of Progressive Cavity Pump for High Viscous Oil |
Other Titles: | توقع أدائية انتاج مضخة التجويف التدريجي للزيت ذو اللزوجة العالية |
Authors: | Hassan, Ahmed Hassan Ismael Ramadan, Hamid Ahmed Ibrahim Turja, Hamid Suleiman Hamid Alamin, Mohammed Ali Mohammed Supervisor, - Mohamed Mirghni |
Keywords: | Petroleum Engineering and Technology Prediction Production Performance Progressive Cavity Pump for High Viscous Oil |
Issue Date: | 12-Oct-2017 |
Publisher: | Sudan University of Science & Technology |
Citation: | Hassan, Ahmed Hassan Ismael . Prediction Production Performance of Progressive Cavity Pump for High Viscous Oil : Case study Alrawat \ Ahmed Hassan Ismael Hassan , Hamid Ahmed Ibrahim Ramadan ...{etal} ; Mohamed Mirghni .-khartoum: Sudan University of Science & Technology, College of Petroleum Engineering and Technology, 2017.- 67 P:ill; 28cm.-Bachelors search |
Abstract: | The progressive cavity pump (PCP) is one of the best method of artificial lift which achieves the economic goals which achieve the country and company policies. Its component and function and the factor affecting it have been discussed in this research. The aim of this study is prediction production performance of progressive cavity pump by using PIPESIM to estimate the oil flow rates for numbers of wells (four wells located in Alrawat field) have viscous crude oil, whereas Progressive Cavity Pump consider one of the best artificial methods that is Compatible with this crude . Also Number of Parameters sensitivities, Nodal Analysis™ for tubing size by using PIPESIM have been done for the wells to show the effect of those parameter on their optimal design. The study shows that Using PCP increases the overall oil flowrate from (322.845 bbl/day) to ( 4012.348 bbl/day ) . |
Description: | Bachelor Research |
URI: | http://repository.sustech.edu/handle/123456789/19242 |
Appears in Collections: | Bachelor of Petroleum Engineering & Technology |
Files in This Item:
File | Description | Size | Format | |
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Prediction Production Performance ... .pdf | Research | 3.6 MB | Adobe PDF | View/Open |
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