Verónica Rodrı́guez Tribaldos

Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences

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Co-Authors

Jonathan Ajo‐Franklin

Rice University

Nicky White

University of Cambridge

Craig Ulrich

Lawrence Berkeley National Laboratory

Chet Hopp

Lawrence Berkeley National Laboratory

Patrick Dobson

Lawrence Berkeley National Laboratory

Jordi Julià

Universidade Federal do Rio Grande do Norte

Yves Guglielmi

Institut de Recherche pour le Développement

Michelle Robertson

Lawrence Berkeley National Laboratory

Nathaniel J. Lindsey

Lawrence Berkeley National Laboratory

Timothy J. Kneafsey

Lawrence Berkeley National Laboratory

Cooperative Institutions

Lawrence Berkeley National Laboratory

121

University of Wisconsin–Madison

121

Pacific Northwest National Laboratory

University of California, Berkeley

Lawrence Livermore National Laboratory

Los Alamos National Laboratory

Stanford University

Government of the United States of America

NASA Earth Science

Pennsylvania State University

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Mantle Transition Zone Topography Beneath the Parnaíba Basin of NE Brazil: New Constraints on Deep Mantle Dynamics

AGU Fall Meeting Abstracts (2019)

Jordi Julià D. L. O. Coelho Nicky White Verónica Rodrı́guez Tribaldos

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Joint inversion of high-frequency receiver functions and surface-wave dispersion for sedimentary structure: Case study in the Parnaíba Basin of NE Brazil

AGU Fall Meeting Abstracts (2018)

Jordi Julià T. S. D. C. Victor Nicky White Verónica Rodrı́guez Tribaldos

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The Imperial Valley Dark Fiber Project: Toward Seismic Studies Using DAS and Telecom Infrastructure for Geothermal Applications

Seismological Research Letters (2022)

Jonathan Ajo‐Franklin Verónica Rodrı́guez Tribaldos Avinash Nayak Feng Cheng R. J. Mellors

Abstract The Imperial Valley is a seismically active basin occupying the southern end of the Salton trough, an area of rapid extension, high heat flow, and abundant geothermal resources. This report describes an ongoing large-scale distributed acoustic sensing (DAS) recording study acquiring high-density seismic data on an array between Calipatria and Imperial, California. This 27 km array, operating on dark fiber since 9 November 2020, has recorded a wealth of local seismic events as well as ambient noise. The goal of the broader Imperial Valley Dark Fiber project is to evaluate passive DAS as a tool for geothermal exploration and monitoring. This report is intended to provide installation information, noise characteristics, and metadata for future studies utilizing the data set. Because of the relatively small number of basin-scale DAS studies that have been conducted to date, we also provide a range of lessons learned during the deployment to assist future researchers exploring this acquisition strategy.

Seismic Noise

10.1785/0220220072

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Citations (22)

Exploring the limits of fiber-optic sensing in Cascadia: Borehole passive seismic monitoring using co-located DAS, low noise optical accelerometers, and geophones

AGU Fall Meeting Abstracts (2020)

Julia Correa Chet Hopp Nathaniel J. Lindsey C. E. Layland-Bachmann Verónica Rodrı́guez Tribaldos

Geophone

Passive seismic

Vertical seismic profile

Distributed Acoustic Sensing

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Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection

Scientific Reports (2019)

Jonathan Ajo‐Franklin Shan Dou Nathaniel J. Lindsey Inder Monga Chris Tracy

We present one of the first case studies demonstrating the use of distributed acoustic sensing deployed on regional unlit fiber-optic telecommunication infrastructure (dark fiber) for broadband seismic monitoring of both near-surface soil properties and earthquake seismology. We recorded 7 months of passive seismic data on a 27 km section of dark fiber stretching from West Sacramento, CA to Woodland, CA, densely sampled at 2 m spacing. This dataset was processed to extract surface wave velocity information using ambient noise interferometry techniques; the resulting VS profiles were used to map both shallow structural profiles and groundwater depth, thus demonstrating that basin-scale variations in hydrological state could be resolved using this technique. The same array was utilized for detection of regional and teleseismic earthquakes and evaluated for long period response using records from the M8.1 Chiapas, Mexico 2017, Sep 8th event. The combination of these two sets of observations conclusively demonstrates that regionally extensive fiber-optic networks can effectively be utilized for a host of geoscience observation tasks at a combination of scale and resolution previously inaccessible.

Ambient noise level

Seismic interferometry

Distributed Acoustic Sensing

Passive seismic

10.1038/s41598-018-36675-8

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Citations (439)

Differentiating between gravitational and tectonic faults by means of geomorphological mapping, trenching and geophysical surveys. The case of the Zenzano Fault (Iberian Chain, N Spain)

Geomorphology (2013)

Domingo Carbonel Francisco Gutiérrez Rogelio Linares Carles Roqué i Pau Mario Zarroca

Escarpment

Fault trace

10.1016/j.geomorph.2013.01.020

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Citations (57)

Investigating a damaging buried sinkhole cluster in an urban area (Zaragoza city, NE Spain) integrating multiple techniques: Geomorphological surveys, DInSAR, DEMs, GPR, ERT, and trenching

Geomorphology (2014)

Domingo Carbonel Verónica Rodrı́guez Tribaldos Francisco Gutiérrez Jorge Pedro Galvé Jesús Guerrero

Sinkhole

Ground-Penetrating Radar

Electrical Resistivity Tomography

Groundwater-related subsidence

10.1016/j.geomorph.2014.02.007

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Citations (62)

Combining Ambient Noise and Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber Networks for High-resolution Imaging at the Basin Scale

AGU Fall Meeting 2020 (2020)

Verónica Rodrı́guez Tribaldos Nathaniel J. Lindsey Shan Dou Craig Ulrich Michelle Robertson

Ambient noise level

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Using Dark Fiber and Distributed Acoustic Sensing to Characterize a Geothermal System in the Imperial Valley, Southern California

Journal of Geophysical Research Solid Earth (2023)

Feng Cheng Jonathan Ajo‐Franklin Avinash Nayak Verónica Rodrı́guez Tribaldos R. J. Mellors

Abstract The Imperial Valley, CA, is a tectonically active transtensional basin located south of the Salton Sea; the area hosts numerous geothermal fields, including significant hidden hydrothermal resources without surface manifestations. Development of inexpensive, rugged, and highly sensitive exploration techniques for undiscovered geothermal systems is critical for accelerating geothermal power deployment as well as unlocking a low‐carbon energy future. We present a case study utilizing distributed acoustic sensing (DAS) and ambient noise interferometry for geothermal reservoir imaging, utilizing unlit fiber‐optic telecommunication infrastructure (dark fiber). The study exploits two days of passive DAS data acquired in early November 2020 over a ∼28‐km section of fiber from Calipatria, CA to Imperial, CA. We apply ambient noise interferometry to retrieve coherent signals from DAS records and develop a bin stacking technique to attenuate the effects from persistent localized noise sources and to enhance retrieval of coherent surface waves. As a result, we are able to obtain high‐resolution two‐dimensional (2D) S wave velocity ( V s ) structure to 3 km depth, based on joint inversion of both the fundamental and higher overtones. We observe a previously unmapped high V s and low V p / V s ratio feature beneath the Brawley geothermal system, which we interpret to be a zone of hydrothermal mineralization and lower porosity. This interpretation is consistent with a host of other measurements including surface heat flow, gravity anomalies, and available borehole wireline data. These results demonstrate the potential utility of DAS deployed on dark fiber for geothermal system exploration and characterization in the appropriate geological settings.

Ambient noise level

Geophone

Distributed Acoustic Sensing

Geothermal power

10.1029/2022jb025240

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Citations (19)

Seismic monitoring of well integrity

The Leading Edge (2022)

D. W. Vasco Thomas M. Daley Verónica Rodrı́guez Tribaldos P. Marchesini G. Michael Hoversten

Seismic tube waves, produced by flexure of the well boundary, pressure changes in the fluid in the well, and deformation of the material immediately surrounding the well, are particularly sensitive to variations in the state of the well. We evaluate a direct approach for generating and observing tube waves as a means of detecting well damage. While we find that it can be difficult to reliably excite observable tube waves without a very strong surface source, time-frequency techniques can be employed to increase the detectability of tube wave reflections. New technologies, particularly distributed acoustic sensing, hold great promise for evaluating well integrity by monitoring tube waves, temperature changes, and seismic noise due to well deformation and fluid leakage.

Fluid pressure

Vertical seismic profile

Acoustic Emission

Seismic Noise

10.1190/tle41020134.1

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Citations (2)