Abstract
The mechanical fracture compliance is of interest in a number of geoscientific applications. Seismic borehole methods, especially full-waveform sonic (FWS) data, have indicated their potential to infer the compliance of macroscopic fractures under in situ conditions. These approaches rely on the assumption of a homogeneous background embedding the fractures and, as of yet, compliance estimates for individual fractures are limited to static FWS measurements. In this work, we assess the potential of inferring the compliance of individual fractures from standard, production-type FWS data in the presence of background heterogeneity. We first perform a comparative test on synthetic data to evaluate three approaches known as the transmission, phase, and group time delay methods. The results indicate that the former two produce adequate compliance estimates for scenarios with a strongly heterogeneous background or a damage zone around the fracture. These two methods are then applied to two FWS data sets acquired before and after a hydraulic stimulation campaign in a crystalline rock, which allows to test them on natural and man-made fractures. The transmission method turned out to be unsuitable for the considered data due to its reliance on amplitudes. Conversely, the travel time behavior remained stable and the phase time delay method produced robust and consistent estimates. The results for a newly created hydro-fracture imply the capability of resolving remarkably small compliance values of the order of 10 −14 m/Pa. This estimate is one order-of-magnitude smaller than that for the natural fracture, which may help to distinguish between these two fracture types.
Originalsprache | Englisch |
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Aufsatznummer | e2022JB024302 |
Seitenumfang | 23 |
Fachzeitschrift | Journal of geophysical research |
Jahrgang | 127.2022 |
Ausgabenummer | 8 |
DOIs | |
Publikationsstatus | Veröffentlicht - 3 Aug. 2022 |
Bibliographische Notiz
Funding Information:This work benefited from logistic support from the Bedretto Underground Laboratory for Geosciences and Geoenergy, which is a research infrastructure of ETH Zürich in the Department of Earth Sciences. The construction was financed by ETH Zürich and by the Werner Siemens‐Stiftung. The Bedretto tunnel is property of the Matterhorn Gotthard Bahnen (MGB). We wish to thank Dr. Marian Hertrich (manager of Bedretto Lab) and Dr. Xiaodong Ma for support with the organization and logistics of the measurement campaigns, Dr. Ludovic Baron for assistance with the field work, and Dr. Benoît Valley for lending us his ATV logging tool. Zhenya Zhou gratefully acknowledges financial support from China Scholarship Council (CSC201906440072). Nicolás D. Barbosa and Klaus Holliger greatfully acknowledge partial support through Swiss National Science Foundation grants 196037 and 1789646, respectively.
Publisher Copyright:
© 2022. The Authors.