Mei Li

PhD Candidate

Biography

Mei Li is a PhD candidate in Civil Engineering at the University of Toronto. She holds BASc and MASc degree in Petroleum Engineering from Southwest Petroleum University, China. Her current research focuses on the development and utilization of experimental visualization techniques, traditional and machine learning-based image processing techniques, AI for engineering, and rock fracturing mechanisms of layered anisotropic rocks. She applies her work towards industrial applications in the fields of oil and gas, geothermal, and carbon storage, and is dedicated to providing artificial intelligence solutions to power a smarter and safer energy industry and to support the carbon net-zero emission goal. With a keen interest in interdisciplinary research, she has actively pursued projects that integrate various fields of study. Currently, she is part of the Old Books New Science initiative, where she applies her expertise to analyze rare book micro-CT scans and segment the contents for the preservation of valuable historical and cultural data.

May 2022

Invited Talk

Invited talk on "See the Unseen – High Resolution Imaging of Rock Fractures and the Read Throughs for Cap Rock Integrity" as part of the Geological Controls and Fracture Mechanics - Considerations for the Geological Storage of Carbon Dioxide, Hydrogen, Methane and Compressed Air.

April 2022

Candidacy

Became a PhD candidate.

March 2022

Award

Received the Lassonde International Graduate Scholarship in Mining

January 2022

Digital Album

Published digital artwork titled "Fracture network in laboratory hydraulic fracturing tested shale cube" in Album of Porous Media - Structure and Dynamics.

June 2021

Journal Paper

Published a Journal Paper in Rock Mechanics and Rock Engineering titled "Mapping Fracture Complexity of Fractured Shale in Laboratory: Three‑dimensional Reconstruction From Serial‑section Images"

April 2021

Award

Received the Lassonde International Graduate Scholarship in Mining

June 2020

Conference Paper

Published a Conference Paper at 54th US Rock Mechanics/Geomechanics Symposium, June 28 - July 1, 2020 titled "Mapping fracture complexity in hydraulically fractured Montney shale by serial section reconstruction"

May 2019

Joined

Joined as a PhD student

Publications

6575102 Mei Li 1 apa-5th-edition 50 date desc year 1 title Li, M. 538 https://geogroup.utoronto.ca/wp-content/plugins/zotpress/

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Abdelaziz, A., Wu, P. S.-Y., Li, M., Magsipoc, E., Peterson, K., & Grasselli, G. (2023). Understanding shale fracture network complexity in the laboratory. In W. Schubert & A. Kluckner (Eds.), 15th ISRM Congress 2023 & 72nd Geomechanics Colloquium (pp. 2152–2157). Presented at the 15th ISRM Congress 2023 & 72nd Geomechanics Colloquium, Salzburg, Austria: Schubert & Kluckner.

Abdelaziz, A., Wu, P. S.-Y., Li, M., Magsipoc, E., Peterson, K., & Grasselli, G. (2023). Understanding Shale Fracture Network Complexity in the Laboratory (Vol. All Days, p. 6). Presented at the 15th ISRM Congress, ISRM-15CONGRESS-2023-359.

Sun, L., Li, M., Abdelaziz, A., Tang, X., Liu, Q., & Grasselli, G. (2023). An efficient 3D cell-based discrete fracture-matrix flow model for digitally captured fracture networks. International Journal of Coal Science & Technology, 10(1), 70.

Sun, L., Tang, X., Li, M., Abdelaziz, A., Aboayanah, K., Liu, Q., & Grasselli, G. (2023). Flow simulation in 3D fractured porous medium using a generalized pipe-based cell-centered finite volume model with local grid refinement. Geomechanics for Energy and the Environment, 36.

Abdelaziz, A., Ha, J., Li, M., Magsipoc, E., Sun, L., & Grasselli, G. (2023). Understanding hydraulic fracture mechanisms: From the laboratory to numerical modelling. Advances in Geo-Energy Research, 7(1), 66–68.

Li, M., Magsipoc, E., Abdelaziz, A., Ha, J., Peterson, K., & Grasselli, G. (2023). Fracture Network in a Shale Cube Hydraulically Fractured in the Laboratory. Album of Porous Media (pp. 45–45).

Magsipoc, E., Li, M., & Grasselli, G. (2022). See The Unseen – High-resolution Imaging and Characterizing Laboratory Fractures in Layered Anisotropic Rocks.

Li, M., Magsipoc, E., Sun, L., Peterson, K., & Grasselli, G. (2022). High-resolution Mapping and Characterization of Shale Fractures Hydraulically Induced in the Laboratory.

Li, M., Magsipoc, E., Abdelaziz, A., Ha, J., Peterson, K., & Grasselli, G. (2021). Mapping Fracture Complexity of Fractured Shale in Laboratory: Three-dimensional Reconstruction From Serial-section Images. Rock Mechanics and Rock Engineering, 55(5), 2937–2948.

Magsipoc, E., Li, M., Abdelaziz, A., Ha, J., Peterson, K., & Grasselli, G. (2020). Analysis of the Fracture Morphologies from a Laboratory Hydraulic Fracture Experiment on Montney Shale (p. 6). Presented at the ARMA/DGS/SEG International Geomechanics Symposium, ARMA: American Rock Mechanics Association.

Li, M., Magsipoc, E., Abdelaziz, A., Ha, J., Guo, J., Peterson, K., & Grasselli, G. (2020). Mapping Fracture Complexity in Hydraulically Fractured Montney Shale by Serial Section Reconstruction (p. 9). Presented at the 54th U.S. Rock Mechanics/Geomechanics Symposium, ARMA: American Rock Mechanics Association.

Magsipoc, E., Zhou, H., Li, M., & Grasselli, G. (2019). Shear Dilation and Fluid Transmissivity of Rock Fractures Based on Quantified Surface Description.

Li, M., Magsipoc, E., Abdelaziz, A., Ha, J., & Grasselli, G. (2019). Mapping Fracture Complexity in Shale Rock.

Green, R., Li, M., Fleming, N., Zhou, Y., & Grasselli, G. (2019). Utilizing Ground Motion in the Traffic Light System to Better Mitigate Potential Damages Caused by Induced Seismic Events.

Zhou, Y., Li, M., Fleming, N., & Green, R. (2019). The Traffic Light System and the Management of Induced Seismicity in Alberta.

Zhou, Y., Li, M., Fleming, N., & Green, R. (2019). The Traffic Light System and the Management of Induced Seismicity in Alberta. Presented at the University of Calgary CREATE ReDeveLoP Annual Innovation Program, Calgary, Alberta.