29 March 2017 Microfluidic diffusivity meter: a tool to optimize CO2 driven enhanced oil recovery
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Proceedings Volume 10095, Laser 3D Manufacturing IV; 100950C (2017) https://doi.org/10.1117/12.2257673
Event: SPIE LASE, 2017, San Francisco, California, United States
As the energy demands continue to swell with growing population and there persists a lack of unexploited oilfields, the prime focus of any nation would be to maximize the oil recovery factor from existing oil fields. CO2-Enhanced oil recovery is a process to improve the recovery of crude oil from an oil field and works at high pressure and in very deep conditions. CO2 and oil are miscible at high pressure, resulting in low viscosity and oil swells. This swelling can be measured based on mathematical calculations in real time and correlated with the CO2 concentration. This process has myriad advantages over its counterparts which include being able to harness oil trapped in reservoirs besides being cheaper and more efficient. A Diffusivity meter is inevitable in the measurement of the diffusion co-efficient of two samples. Diffusivity meters currently available in the market are weighed down by disadvantages like the requirement of large samples for testing, high cost and complexity. This elicits the need for a Microfluidic based diffusivity meter capable of analyzing Nano-liter sample volumes besides being more precise and affordable. The scope of this work involves the design and development of a Microfluidic robust and inexpensive prototype diffusivity meter using a capillary tube and endorsing its performance by comparison of results with known diffusivity range and supervision of the results with an electronic microscope coupled to PC and Data Acquisition System. The prototype produced at the end of the work is expected to outweigh disadvantages in existing products in terms of sample size, efficiency and time saving.
Conference Presentation
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Puneeth S.B., Puneeth S.B., Young Ho Kim, Young Ho Kim, Sanket Goel, Sanket Goel, } "Microfluidic diffusivity meter: a tool to optimize CO2 driven enhanced oil recovery", Proc. SPIE 10095, Laser 3D Manufacturing IV, 100950C (29 March 2017); doi: 10.1117/12.2257673; https://doi.org/10.1117/12.2257673

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