Controlling CO2 emissions in the near-term - carbon management - is a necessity as the transition from fossil energy sources to renewable sources is a slow process. Our group leverages microfluidics to improve the environmental and economic performance of current CO2, oil, and gas operations. Our focus is on informing operators of the effectiveness of current and potential reservoir processes, as well as providing high resolution fluid property data to improve prediction through reservoir models.
Developing Rapid Methods for Oil, Gas, and CO2 Fluid Analysis
We have developed a series of microfluidics and optics based instrumentation systems to measure thermodyanmic fluid properties and transport properties. These efforts benefit from traditional strengths of microfluidics in fluid analysis, as well as the capacity for high temperatures and pressures – relevant to reservoir conditions. These microfluidic approaches can provide an increase in accuracy as well as speed (up to 2 orders of magnitude) with much reduced external infrastructure cost.
Informing Carbon Capture, Transport and Storage
Our group was the first to visualize and study the precipitation dynamics of salt after CO2 injection in deep saline aquifers. We have also developed rapid methods to detect the dew point of water in representative flue gas mixtures, which is a parameter of critical importance in CO2 pipelines. Expertise developed in this area is currently being applied to the development nanoparticle stabilized CO2 foams for combined storage and enhanced oil recovery (EOR).
Selected Recent Publications
Jatukaran, A, Zhong, J., Persad, A., Xu, Y., Mostowfi, F., and Sinton, D. ACS Applied Nano Materials, Accepted March 5, 2018.
Hasham, A. A., Abedini, A., Jatukaran, A., Persad, A., and Sinton, D. Journal of Petroleum Science and Engineering, Accepted Feb 7, 2018.
Lele, P., Syed, A. H., Riordon, J., Mosavat, N., Guerrero, A., Fadaei, H., and Sinton, D., Journal of Petroleum Science and Engineering, Accepted Feb 4, 2018.
Xu, L., Abedini, A., Qi, Z, Kim, M., Guerrero, A., and Sinton, D., Fuel, (2018)
Sharbatian, A., Abedini, A., Qi, Z., and Sinton, D., Analytical Chemistry, (2018), Accepted. DOI: 10.1021/acs.analchem.7b05358
Zhong, J., Talebi, S., Xu, Y., Pang, Y., Mostowfi, F., and Sinton, D., Lab on a Chip, (2018), Accepted manuscript, DOI: 10.1039/C7LC01193H
Zhong, J., Riordon, J., Zandavi, S. H., Xu, Y., Persad, A., Mostowfi, F., and Sinton, D., J. Phys. Chem. Lett., (2018), 9, 497–503, DOI: 10.1021/acs.jpclett.7b03003
Qi, Z., Abedini, A., Sharbatian, A., Pang, Y., Guerrero, A., and Sinton, D., Accepted in Energy & Fuels. Dec. 2017, DOI: 10.1021/acs.energyfuels.7b03495
Cheng, X., Qi, Z., Burdyny, T., Kong, T., and Sinton, D. Accepted in Bioresource Technology, (2018), 250, 481-485, DOI: 10.1016/j.biortech.2017.11.070
Xu, Y., Riordon, J., Cheng, X., Bao, B. and Sinton, D. Angew. Chem. Int. Ed., 56, 13962-13967, (2017), DOI: 10.1002/anie.201708238