Day 2 :
Texas A&M University, Qatar
Keynote: Experimental Investigation of Pressure Drop for Gas / Shear Thinning Fluid Flows in a Horizontal Pipe
Time : 10:00-10:40
Rahman's background in multiphase flow experiments and CFD of both academic (fundamental) and industrial (applied) research contributions have been documented in more than 50 refereed journals and conference proceedings. In recognition of his high-quality research endeavors, Rahman has been awarded several multimillion-dollar grants from organizations such as the Natural Sciences and Engineering Research Council of Canada and Newfoundland Research & Development Corp. He has been involved in a number of research collaborations with companies, including Intecsea, Husky Energy, Syncrude Canada, GRI simulations, C-Core and Coanda Research & Development Corp.
Rahman was a postdoctoral fellow in 2012 in the School of Mining and Petroleum Engineering at the University of Alberta. He also worked as a postdoctoral fellow in 2011 in the Department of Chemical and Materials Engineering at the University of Alberta. He earned his Ph.D. from the University of Alberta in 2010 and his master's degree from Dalhousie University (Canada) in 2004. Rahman has successfully supervised a number of postdoctoral fellows, graduate students, research associates and undergraduate students. He is the recipient of a best teaching award from the University of Alberta in 2009. He is also involved in with a number of professional organizations, including SPE, ASME and CSME. He is a registered Profession Engineer in Alberta, Canada.
The objective of the study focuses on gas/non-Newtonian liquid horizontal flow in a pipeline. The gas and the liquid flow rates were varied over a wide range of flow conditions. The flow rate of the non-Newtonian liquid ranged from 0.023 to 0.115 m3/s, while that of the gas ranged from 0.023 to 0.160 m3/. The experiment was conducted to determine the pressure drop using a transparent pipe of 76.2 mm diameter and 2.44 m long horizontal pipe. Xanthan gum solution was used to simulate non-Newtonian fluid. The pressure drop gradient model of Lockhart-Martinelli as modified for gas/shear thinning fluid flow. The theoretical predictions of pressure loss were compared with the experimental data for air/shear thinning fluid flow results. From the experimental work, it was observed that the pressure drop was directly proportional with the concentration of Xanthan gum (shear thinning fluid). The flow regimes of bubbly, slug, plug and wavy flow were also captured by a high-speed camera.
• Rahman, M.A., (2011) Scaling of Effervescent Atomization, LAP LAMBERT Academic Publishing.
Publications in Journals
• Xiong X., Rahman, M.A., Zhang, Y.(2015). RANS Based CFD Simulation of Fully Turbulent Newtonian Flow in Concentric Annuli. Journal of Fluids Engineering. Submitted on March, 2015.
• Herath, D., Khan, F., Rathnayaka, S., Rahman, M.A. (2015). Probabilistic Estimation of Hydrate
• Formation. Journal of Petroleum Science and Engineering. 135: 32–38.
• Muhammad, M.J., Premkumar, T., Rahman, M.A., Khan, F. (2015). Subsea Pipeline Leak Modeling using Computational Fluid Dynamics. Process Safety and Environmental Protection. Submitted in 2015.
• Rahman, M.A.(2015). An Empirical Model for Annular Flow in Gas Wells. Procedia Engineering.
• Jujuly, M.M., Rahman, M.A., Ahmed, S., Khan, F.I.(2015). LNG Pool Fire Simulation For Domino Effect Analysis. Reliability Engineering & System Safety. 143: 19–29.
• Sule, I., Obeng, C., Adedeji, A. and Okosun, A., Morshed, M., Rahman, M.A., Hawboldt, K.(2014), CFD Analysis of Hydrate Formation in Subsea Pipelines. Petroleum Science and Technology. 33(5):571-578.
• Rahman, M.A., Amin, A., Hossain, A. and Fleck, B.(2014). Numerical Investigation of Two-Phase Nozzle, Flow. Procedia Engineering. 90: 346–350.
Heriot-Watt University, Dubai campus, UAE
Keynote: Optimal Design and Operation of Gas Processing Plant (GPP) under Uncertain Upstream Conditions
Time : 10:40-11:20
Mesfin is currently working as Assistant Professor & Program Director of Chemical Engineering at Heriot-Watt University Dubai Campus. He was a postdoc fellow at Yeungnam Univeristy (South Korea) before joining Curtin University, Sarawak Malays as faculty staff. Mesfin has won the 2014 IChemE Malaysia Award for Research Innovation and Excellence. He also got a prize for his research being highly commended in the Petrochemical Processing Award at the 2013 IChemE Malaysia Awards for Innovation and Excellence”. He has won also the 2015 APAC-EMEA (Asia Pacific, Europe, Middle East & Africa) Honeywell UniSim Design Challenge & the 2014 Asia Pacific Honeywell UniSim Design Challenge. His current research work focuses on optimal design and operation of thermally coupled distillation unit under uncertainties. Thermally coupled distillation such as dividing wall column (DWC) has significant advantage in terms of energy saving by more than 30% compared to the conventional distillation columns.
Uncertainty is an inherent characteristic of any process. It may arise both from external and internal factors and has a profound effect especially for gas processing plant as its feeds are normally originated from upstream production facilities. Thus, the plant is usually subjected to continuous variations in upstream conditions, such as feed flow rate, composition, ambient temperature and pipeline pressure. These variations effects propagate throughout the plant and affect its normal operation. As a result, decision making for optimal operating conditions of an in-operating plant is a complex problem and it is exacerbated with changing product specifications and utility requirements. Moreover, the condition of feed composition is an important factor since it mainly determines what kind of process configuration to be employed for recovering natural gas liquids (NGLs). Besides, due to the number of process schemes developed for NGL recovery, it is usually difficult to select the best process scheme that can consolidate capital and operating costs within an acceptable range. In industrial practice, heuristic optimization approach based on trial and error have been employed to solve those problems. The main reason for such kind of decision is due to lack of systematic solution approach. As a result, aggressive decision may be preferred due to high profit expectation. However, this strategy will deteriorate the objective function and later leads to constraint violation. Therefore, a systematic method is required to evaluate the trade-off between profitability and reliability of holding the process constraints. The challenge here is how to find solution approaches that can incorporate all these uncertainties effect and enable us to make prior-decision for the in-operating plant.
1. Mesfin, G & Shuhaimi, M. (2010).“A chance constrained approach for a gas processing plant with uncertain feed conditions”. Computers and Chemical Engineering,34(8),1256-1267.
2. Mesfin, G., Shuhaimi, M & Moonyong, L.(2012). “Analyzing the effects of uncertainties on the economic performance of a chemical process plant using a probabilistic optimization technique”. Computer Aided Chemical Engineering,30,832-836.
3. Mesfin, G., Khan M.S., Long, N.V., & Moonyong, L. (2012).“Studying the effect of feed composition variation on typical natural gas liquid (NGL) recovery processes”. Computer Aided Chemical Engineering,31,405-409.
4. Khan, M.S., Husnil,Y.A., Mesfin, G & Moonyong, L.(2012). “Modeling and Simulation of Multi-stream Heat Exchanger Using Artificial Neural Network”. Computer Aided Chemical Engineering,31,1196-1200.
5. Jung, Y., Long, N.V., Mesfin, G & Moonyong, L.(2012). “A Study of Complex Distillation Arrangements for Improved Depropanizing, Debutanizing and Deisobutanizing Fractionation of NGL”. Computer Aided Chemical Engineering,31,680-684.
6. Mesfin, G., Shuhaimi, M & Moonyong, L. (2013).“Techno-economic analysis of potential natural gas liquid (NGL) recovery processes under variations of feed compositions”. Chemical Engineering Research and Design, 91(7),1272-1283.
7. Mesfin, G., Shuhaimi, M & Moonyong, L.(2013). ”Profit optimization for chemical process plant based on a probabilistic approach by incorporating material flow uncertainties”. Computers and Chemical Engineering, 59,186-196.
8. Khan, M.S., Chaniago, Y.D., Mesfin, G & MOONYONG L.(2014).”Energy saving opportunities in integrated NGL/LNG schemes exploiting: Thermal-coupling common-utilities and process knowledge”. Chemical Engineering & Processing: Process Intensification, 82,54-64.
9. Khan, M.S., Lee, S., Mesfin, G & Moonyong, L.(2015).”Knowledge inspired investigation of selected parameters on energy consumption in nitrogen single and dual expander processes of natural gas liquefaction”. Journal of Natural Gas Science and Engineering, 23,324-337.
10. Mesfin, G. Shuhaimi, M., Yudi,S., Khan, M.S., Bahadori, A., Moonyong, L.(2015).“Risk-based optimization for representative natural gas liquid (NGL) recovery processes by considering uncertainty from the plant inlet”. Journal of Natural Gas Science and Engineering,27,42-54.
11. Park, J.H., Khan, MS., Andika, R., Mesfin, G., Bahadori, A., Moonyong, L.(2015). “Techno-economic evaluation of a novel NGL recovery scheme with nine patented schemes for offshore applications”. Journal of Natural Gas Science and Engineering, 27,2-17.
12. Tiong, C.C, Jobrun, N & Mesfin, G.(2016).” Retrofitting Options for Natural Gas Liquid (NGL) Fractionation Trains Using the Concept of Single Column Development”.Procedia Engineering,148,923-931.