Masnadi, M.S., Brandt, A.R. Energetic productivity dynamics of global super-giant oilfields. Energy & Environmental Science, 2017. DOI:10.1039/C7EE01031A
Masnadi, M.S., Brandt, A.R. Energetic productivity dynamics of global super-giant oilfields. Energy & Environmental Science, 2017. DOI:10.1039/C7EE01031A
Ravikumar, A.P., A.R. Brandt. Designing better methane mitigation policies: The challenge of distributed small sources in the natural gas sector. Environmental Research Letters 12 044023
Ravikumar, A.P., Wang, J., Brandt, A.R. Are Optical Gas Imaging Technologies Effective for Methane Leak Detection? (2017) Environmental Science and Technology, 51 (1), pp. 718-724. DOI: 10.1021/acs.est.6b03906.
Teichgraeber, H., Brodrick, P. G., Brandt, A. R. Optimal design and operations of a flexible oxyfuel natural gas plant. Energy. DOI:10.1016/j.energy.2017.09.087.
*Tripathi, V. and A.R. Brandt. Estimating Decades-Long Trends in Petroleum Field Energy Return on Investment (EROI) with an Engineering-Based Model. PLOS ONE. DOI: 10.1371/journal.pone.0171083
Wang, J., O'Donnell, J., Brandt, A.R. Potential solar energy use in the global petroleum sector (2017) Energy, 118, pp. 884-892. DOI: 10.1016/j.energy.2016.10.107
Yeh, S., Ghandi, A., Scanlon, B.R., Brandt, A.R., Cai, H., Wang, M.Q., Vafi, K., Reedy, R.C. Energy Intensity and Greenhouse Gas Emissions from Oil Production in the Eagle Ford Shale. Energy & Fuels DOI: 10.1021/acs.energyfuels.6b02916
*Brandt, A.R., T. Yeskoo, S. McNally, K. Vafi, S. Yeh, H. Cai, M.Q. Wang. Energy intensity and greenhouse gas emissions from tight oil production in the Bakken formation. Energy & Fuels. DOI: 10.1021/acs.energyfuels.6b01907
Brandt, A.R., Heath, G.A., Cooley, D. Methane leaks from natural gas systems follow extreme distributions. Environmental Science & Technology. DOI: 10.1021/acs.est.6b04303
Cooney, G., M. Jamieson, J. Marriott, J. Bergerson, A.R. Brandt, T.J. Skone. Updating the US life cycle GHG petroleum baseline to 2014 with projections to 2014 using open-source engineering-based models. Environmental Science & Technology DOI: 10.1021/acs.est.6b02819