Verónica Rodriguez Tribaldos

Research Scientist

Building 083, Room 0109R

M/S 74R316C

Phone: 510-292-1976

vrodrigueztribaldos@lbl.gov

Curriculum Vitae

Biography

I am a Research Scientist in the Energy Geosciences Division of the Earth and Environmental Sciences Area at Lawrence Berkeley Lab. I obtained a Bachelor Degree in Geology from the Autonomous University of Barcelona (Spain) and a joint M.Sc. Degree in Applied Geophysics from TU Delft (Netherlands), ETH Zurich (Switzerland), and RWTH Aachen (Germany). In 2018, I received a PhD from the University of Cambridge (United Kingdom) in which I investigated the spatio-temporal evolution of a large sedimentary basin in northeast Brazil by means of seismic imaging, subsidence analysis through well-log information and gravity modeling. I joined LBNL in 2018 as a postdoctoral researcher, to work in the application of fiber-optic sensing for near-surface imaging.

My research at LBNL focuses on developing and using seismic techniques for subsurface imaging, with the aim of understanding the dynamics of subsurface processes for environmental and energy-related applications. My expertise lies in the application of distributed acoustic sensing, DAS, and classic seismic techniques to these problems. I also focus on developing fiber-optics based sensing approaches for monitoring long-term strain and deformation using DAS and DSS (Distributed Strain Sensing), as well as temperature using Distributed Temperature Sensing (DTS).

Research Interests

My research interests include the development and application of innovative geophysical techniques to improve the understanding of subsurface properties that could have an impact on environmental issues, hazards and sustainable management of groundwater and energy resources. My work at LBNL focuses on applying mostly passive seismic approaches, such as ambient noise interferometry, to analyze seismic signatures recorded in DAS datasets that can be exploited for imaging at high resolution and a variety of scales from local, to regional to basin-scale. I am specially interested in combining DAS with Dark Fiber Networks (i.e. fiber-optic cable telecommunication networks that can be repurposed as seismic sensors) to achieve high-resolution monitoring of subsurface dynamics in complex environments that can be challenging to study using classic sensors (e.g. urban areas). The applications I am currently working on include geotechnical and hydrological characterization and monitoring, investigation of ground subsidence dynamics due to permafrost thaw in arctic environments, and basin-scale imaging of structures relevant to geothermal systems.