Abstract
To establish a consistent framework for seismic wave propagation that honors the effects of stress changes, it is critical that we take into account different types of stress measures and their corresponding effects on seismic quantities (e.g., velocities) as dictated by continuum mechanics. Revisiting this theoretical foundation, we discuss connections among existing theories that describe the variation of elastic moduli with effective stress. We show that there is a direct connection between predicting stress-induced elastic changes with the well-known third-order elasticity tensor and the recently-proposed adiabatic pressure derivatives of elastic moduli. Each of these approaches, however, have different qualities and shortcomings both in terms of experimental validation as well as in their use in, e.g., waveform inversion. In addition, we investigate the connection with another general approach that relies on micromechanical structures (e.g., cracks and pores): while it can only be done algebraically, this connection remains unclear as to which type of stress measure and which corresponding constitutive relation should be considered in practical scenarios. We support our analysis with validations on previously published, benchmark experimental data.
Original language | English |
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Title of host publication | SEG TECHNICAL PROGRAM EXPANDED ABSTRACTS 2019 |
Publisher | Society of Exploration Geophysicists |
Pages | 409-413 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 10 Aug 2019 |
Event | Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019 - San Antonio, United States Duration: 15 Sept 2019 → 20 Sept 2019 |
Publication series
Name | SEG Technical Program Extended Abstracts |
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Volume | 2019 |
ISSN (Electronic) | 1949-4645 |
Conference
Conference | Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019 |
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Country/Territory | United States |
City | San Antonio |
Period | 15/09/19 → 20/09/19 |
Funding
We thank L. Adam for helpful discussions and R. Prioul for sharing the data. This work is supported by the European Research Council (ERC) under the European Union’s Seventh Framework Programme (FP/2007-2013) grant agreement number 320639 (iGEO).