Guanyu Yuan
+49 345 / 55 – 26076
lisa.ringel@geo.uni-halle.de
Room 4.23
von-Seckendorff-Platz 3
06120 Halle (Saale)
Dr. Lisa Maria Ringel
+49 345 / 55 – 26076
lisa.ringel@geo.uni-halle.de
Room 4.23
von-Seckendorff-Platz 3
06120 Halle (Saale)
About Me
My research focuses on the stochastic characterization of discrete fracture networks (DFNs). I use data from tomographic experiments to infer the properties of DFNs. For this purpose, I work on the implementation of fast forward models by suitable numerical methods and I compare different inversion approaches by their efficiency and performance.
Research Interests
CV
2019 – today | Research Assistant
Martin Luther University Halle-Wittenberg, Applied Geology
2019 – 2023 | PhD student
Martin Luther University Halle-Wittenberg, Applied Geology
2018 – 2019 | Research Assistant
Ingolstadt University of Applied Sciences, Institute of New Energy Systems (InES)
2018 | Master‘s thesis
German Aerospace Center, Institute of Aeroelasticity
Title: Preliminary design of a wind tunnel experiment for transient shock boundary layer interaction
2017 – 2018 | M. Eng. Technical Development in Mechanical Engineering
Ingolstadt University of Applied Sciences
2015 – 2018 | Scholarship holder
Max Weber-Program
2013 – 2017 | B. Eng. Renewable Energy Technologies
Ingolstadt University of Applied Sciences
Publications
Soltan Mohammadi, H., Ringel, L. M., Bott, C., Bayer, P. (2024). Adaptive management of borehole heat exchanger fields under transient groundwater flow conditions. Renewable Energy, 121060.
Soltan Mohammadi, H., Ringel, L. M., de Paly, M., Bayer, P. (2024). Sequential long-term optimization of shallow geothermal systems under descriptive uncertainty and dynamic variation of heating demand. Geothermics, 121, 103021.
Ringel, L. M., Illman, W. A., & Bayer, P. (2024). Recent developments, challenges, and future research directions in tomographic characterization of fractured aquifers. Journal of Hydrology, 631, 130709.
Römhild, L., Ringel, L. M., Liu, Q., Hu, L., Ptak, T. & Bayer, P. (2024). Hybrid Discrete Fracture Network Inversion of Hydraulic Tomography Data From a Fractured-Porous Field Site. Water Resources Research, 60, e2023WR036035.
Jiang, Z., Ringel, L. M., Bayer, P. & Xu, T. (2023). Fracture Network Characterization in Reservoirs by Joint Inversion of Microseismicity and Thermal Breakthrough Data: Method Development and Verification. Water Resources Research, 59(9), e2022WR034339.
Ringel, L. M., Jalali, M. & Bayer, P. (2022). Characterization of the highly fractured zone at the Grimsel Test Site based on hydraulic tomography. Hydrol. Earth Syst. Sci., 26, 6443–6455.
Ringel, L. M., Jalali, M. & Bayer, P. (2021). Stochastic Inversion of Three-Dimensional Discrete Fracture Network Structure With Hydraulic Tomography. Water Resources Research. 57(12), e2021WR030401.
Ringel, L. M., Somogyvári, M., Jalali, M., & Bayer, P. (2019). Comparison of Hydraulic and Tracer Tomography for Discrete Fracture Network Inversion. Geosciences, 9(6), 274.
