Scientific Program

Conference Series Ltd invites all the participants across the globe to attend 3rd International Conference on Chemical Engineering
Chicago, Illinois ,USA.

Day 2 :

Keynote Forum

Adango Miadonye

Cape Breton University, Canada

Keynote: Microwave applications in petroleum processing

Time : 10:00-10:40

OMICS International Chemical Engineering 2017 International Conference Keynote Speaker Adango Miadonye photo

Adango Miadonye has his expertise in rheology and transport property of reservoir fl uids, heavy oil and bitumen, microwave energy for enhanced oil recovery, upgrading and refi ning processes. His collaboration with Innovation 121 Inc. helps to develop a new cleaner oil sands technology and an engineered micro-bubbles process that facilitates oil separation from the sand grains.


Statement of the Problem: Microwave energy is gradually becoming the most diverse form of energy transfer. It has been used with great success in the petroleum industry for inspecting coiled tubing and line pipe, measuring multiphase fl ow and the mobilization of asphaltic crude oil. Th ough its implications in petroleum applications are yet to be fully understood, the electromagnetic aspects of energy transfer between microwaves and other forms of matter are well comprehended in processes where microwave energy is used to eff ect a chemical or physical change. Th e depletion of conventional crude oil reserves is accompanied by growing economic demand for various types of fuel, giving more prominence to heavy oil and bitumen which deposits exceed light oil deposits by two orders of magnitude. In Canada, eff orts have been intensifi ed to develop microwave irradiation technology for in situ enhanced oil recovery of the country’s large deposits of bitumen and heavy oil. Of the estimated 30 billion barrels of heavy oil in place, about 26 billion barrels are considered unrecoverable using the current technology. Th e specifi c objectives were to study microwave process conditions that would aff ect the upgrading of heavy oil/bitumen to synthetic crude and achieve up to 50% desulphurization as well as obtain preliminary data on process design and economics.
Methodology & Theoretical Orientation: In a typical experiment, oil was mixed with one or more of additives and exposed to various dosages of microwave radiation at low pressure. Th e microwave reactor was constructed from a domestic microwave oven which was modifi ed to allow for the accommodation of a mixer, a device to monitor temperature and pressure in the reactor and interfaced with a desktop computer for data acquisition. Th e power level and irradiation intensity was at level high.
Findings: Results obtained with GC-MS showed evidence of fragmentation process in heavy oil/bitumen samples but, no signifi cant change in molecular structure for majority of the light crude oil samples aft er being subjected to microwave irradiation. Average
reduction in sulfur content of 16% and 39.4% were obtained for heavy oil and light oil respectively.
Conclusion & Significance: The work done so far showed strong indications for the microwave technology to be employed not only for hydrocarbon extractions but also for in situ upgrading and field upgrading of heavy oil and bitumen desulphurization of crude oil and future upgrading of coal and oil shale. Overall, the microwave technology presents the best alternative, economically and environmentally, to the existing technologies for enhanced oil recovery operations and processing.

Break: Networking & Refreshment Break 10:40-11:00 @ Foyer
OMICS International Chemical Engineering 2017 International Conference Keynote Speaker Ramesh Agarwal photo

Ramesh K Agarwal is the Professor William Palm of Engineering at Washington University in St. Louis, USA. His expertise is in computational fl uid dynamics and heat transfer and its applications to the problems in aerodynamics, energy and environment. He is the author and coauthor of over 500 publications and serves on the Editorial Board of 20+ journals. He has given many plenary, keynote and invited lectures at various national and international conferences worldwide. He is a Fellow of AAAS, ASME, AIAA, IEEE, SAE and SME.


Chemical-looping combustion (CLC) is a next generation combustion technology that has shown great promise in addressing the need for high-effi ciency low-cost carbon capture from fossil fueled power plants to address rising carbon emissions. A computational fl uid dynamics (CFD) simulation is developed using the Eulerian approach based on a laboratoryscale experiment with a dual fl uidized bed CLC reactor. Th e salient features of the fl uidization behavior in the air reactor and fuel reactor beds are accurately captured in the simulation. Th e results highlight the need for more accurate empirical reaction rate data for future CLC simulations. Th e spouted fl uidized bed setup provides several advantages when solid coal is used as fuel for CLC. Th e Lagrangian approach known as Discrete Element Method (DEM) coupled with the CFD solution of the fl ow fi eld provides an eff ective means of simulating the behavior of such a bed. Th e overall results using Fe-based oxygen carriers reacting with gaseous CH4 confi rm that chemical reactions have been successfully incorporated into the coupled CFD-DEM simulations. The results indicate a strong dependence of the fl uidization behavior on the density of bed material and provide important insight into selecting the right oxygen carrier to improve performance. Th is work provides a basis for future simulations of CD-CLC systems using solid coal as fuel. Given the high computing cost of CFD-DEM, it is necessary to develop a scaling methodology based on the principles of dynamic similarity that can be applied to a CFD-DEM simulation to expand the scope of this approach to larger CLC systems up to the industrial scale. A new scaling methodology based on the terminal velocity is proposed for spouted fl uidized beds. Simulations of a laboratory-scale spouted fl uidized bed are used to characterize the performance of the new scaling law in comparison with existing scaling laws in the literature. It is shown that the proposed law improves the accuracy of the simulation results compared to the other scaling methodologies while also providing the largest reduction in the number of particles.