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Dr. Lisa Maria Ringel

MEng Lisa Maria Ringel

+49 345 / 55 – 26076

Room 4.23
von-Seckendorff-Platz 3
06120 Halle (Saale)

Dr. Lisa Maria Ringel

+49 345 / 55 – 26076

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

■  Numerical Methods
■  Inversion
■  Bayesian statistics
■  Hydraulic and Tracer Tomography

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., 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.

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N. N.

Secretary

Tel.: +49 345 / 55 – 26012
Fax: +49 345 / 55 – 27175

sekretariat@geo.uni-halle.de

Room H3 1.30
von-Seckendorff-Platz 3
06120 Halle (Saale)