Ms. Mayra Dayana Lopez Carrasquilla | Planetary Sciences | Best Keynote Speaker
Ms, Mayra Dayana Lopez Carrasquilla, University of Houston, United States
Mayra Dayana Lopez Carrasquilla is a third-year Geophysics Ph.D. candidate at the University of Houston, with a focus on seismic and rock physics characterization of geothermal and geological storage reservoirs. She holds an M.Sc. in Geophysics from Universidade Federal do Pará (UFPA) and a B.S. in Geological Engineering from Universidad Pedagógica y Tecnológica de Colombia (UPTC). Her research interests include renewable energy applications, geomechanical modeling, seismic imaging, and carbon capture. She has experience in marine seismic data processing and deep learning techniques for geophysics, with a strong background in programming and seismic analysis.
Educational Details
Mayra Dayana Lopez Carrasquilla is a dedicated scholar currently pursuing her Ph.D. in Geophysics at the University of Houston, where she maintains an impressive GPA of 3.79. Her dissertation focuses on the seismic and rock physics characterization of geothermal and geological storage reservoirs. She previously earned her M.Sc. in Geophysics from the Universidade Federal do Pará (UFPA) in Brazil, where her thesis involved a comprehensive analysis of synthetic bulk density logs using both linear and non-linear regressions, achieving a GPA of 3.65. Before that, she completed her B.S. in Geological Engineering at the Universidad Pedagógica y Tecnológica de Colombia (UPTC), with a thesis centered on the paleoenvironmental study of coals through organic petrography and their physicochemical properties. Throughout her academic journey, she has developed strong expertise in geophysics and geological engineering, with a focus on renewable energy and geological storage solutions.
Research Assistant:
Since August 2022, Mayra Dayana Lopez Carrasquilla has been contributing to multiple renewable energy and carbon capture and storage (CCS) projects at the University of Houston. Her work is centered on geothermal systems, CO2 injection monitoring, and seismic data processing. She has successfully applied machine learning and deep learning techniques to geophysics, enhancing the detection of fractures in rocks and improving geomechanical characterization. Through her innovative research, Mayra is helping to advance the understanding of subsurface processes, particularly in relation to renewable energy solutions and geological storage applications.
Professional Experience :
During her internship at PGS in Houston, TX, from June to August 2023, Mayra Dayana Lopez Carrasquilla worked extensively on marine seismic data processing and 4D imaging. She utilized PGS SWIM technology to produce high-resolution results for CO2 storage investigations and Gulf of Mexico OBN data sets. By optimizing time and costs, she successfully achieved effective 4D responses with minimally processed data. Throughout the internship, Mayra enhanced her expertise in data processing, 4D imaging for oil and gas production, carbon sequestration monitoring, and seismic data analysis. This experience also strengthened her teamwork skills and deepened her knowledge of advanced marine seismic techniques.
Carrasquilla, M.D.L., Sun, M., Long, T., Huang, L., & Zheng, Y. (2024). Seismic anisotropy of granitic rocks from a fracture stimulation well at Utah FORGE using ultrasonic measurements. Geothermics, 123, 103129.
Carrasquilla, M.D.L., Parsons, J., Long, T., Zheng, Y., & Han, D.-H. (2023). Ultrasonic measurements of elastic anisotropy of granitic rocks for enhanced geothermal reservoirs. SEG Technical Program Expanded Abstracts, 2023-August, 79–83.
Carrasquilla, M.D.L., Costa, M.D.F.B., Souza, I.J.S., Amanajás, C.E., & Nunes, L.R.A. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part II – The use of non-linear regression on empirical parameters estimation. Journal of Applied Geophysics, 206, 104838.
Carrasquilla, M.D.L., Carvalho, C.P., Costa, M.D.F.B., Amanajás, C.E., & Rautino, L. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part I – The use of linear regression on empirical parameters estimation. Journal of Applied Geophysics, 204, 104733.