Automated Author Profile

Thanudcha Khunmek

Current S-Index

0.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

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S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Optimal Electrical Submersible Pump (ESP) design using variable speed technique for varing well conditions

In this study, reservoir simulation is applied to predict the performance of the fluid rate and bottom-hole pressure. The vertical lift performance is used to estimate the discharge pressure required to lift fluid to the surface. The results from reservoir simulation together with vertical lift performance are used to design the number of pump stages and compare with industrial practice. Water and solution-gas drive reservoir were considered to investigate the pressure behavior and determine the number of pump stages and the pump model. From the results, it was found that the specific gravity of fluid mixture has a significant influent in number of pump stage. In the case of water drive reservoir has proved that the larger aquifer will require a higher number of pump stages than smaller aquifer. For solution-gas drive reservoir, once the solution gas vaporizes as a free gas, it has a significant effect of reducing fluid density, resulting in number of pump stage reduction. Finally, the number of pump stages calculated from conventional design with 10%, 25% and 50% reduction factor was compared with the proposed method. The numbers of pump stages calculated from conventional design with all reduction factors are underestimated when compared with the results from the simulation in the fixed speed application. In the variable speed application, only 50% reduction factor in the conventional design can satisfy the requirement when compared to simulation results. However, overestimation of pump stages happens in many cases when 50% reduction factor is used.

Authors

  • Thanudcha Khunmek
0 Citations0 Mentions15% FAIR0.3 Dataset Index
10.14457/cu.the.2012.684January 2012