Data set generation and uncertainty analysis

Fan, Y, M Masnadi, L Jing, B Ren, and A Brandt. “The Pyxis Project: A Geospatial Data System for Emission Estimation Monitoring in the Oil and Gas Industry”, Energy and AI, 22 (December 1, 2025): 100601. https://doi.org/10.1016/j.egyai.2025.100601.

Chen, Z, R Zhong, W Long, H Tang, A Wang, Z Liu, X Yang, B Ren, J Littlefield, S Koyejo, M Masnadi, and A Brandt. “Advancing Oil and Gas Emissions Assessment through Large Language Model Data Extraction”, Energy and AI, 20 (May 1, 2025): 100481. https://doi.org/10.1016/j.egyai.2025.100481.

Zhang, Zhan, Evan Sherwin, and Adam Brandt. “Estimating Global Oilfield-Specific Flaring With Uncertainty Using a Detailed Geographic Database of Oil and Gas Fields”, Environmental Research Letters, 16, no. 12 (November 30, 2021): 124039. https://doi.org/10.1088/1748-9326/ac3956.

Brandt, Adam, Yuchi Sun, and Kourosh Vafi. “Uncertainty in Regional-Average Petroleum GHG Intensities: Countering Information Gaps With Targeted Data Gathering”, Environmental Science & Technology, 49, no. 1 (December 17, 2014): 679–686. https://doi.org/10.1021/es505376t.

Vafi, Kourosh, and Adam Brandt. “Reproducibility of LCA Models of Crude Oil Production”, Environmental Science & Technology, 48, no. 21 (October 3, 2014): 12978–12985. https://doi.org/10.1021/es501847p.

Vafi, Kourosh, and Adam Brandt. “Uncertainty of Oil Field GHG Emissions Resulting from Information Gaps: A Monte Carlo Approach”, Environmental Science & Technology, 48, no. 17 (August 10, 2014): https://doi.org/10.1021/es502107s. https://doi.org/10.1021/es502107s.