Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition
Reducing the uncertainties in the detection of fluid-filled fractures and faults is essential for natural resource exploration and earthquake forecasting, yet it remains a complex challenge. This study explores the hypothesis that seismic anisotropy and wave resonances can help to reduce uncertainti...
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| Language: | English |
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Elsevier
2025-12-01
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| Series: | Results in Earth Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211714825000056 |
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| author | Andrés Pech-Pérez |
| author_facet | Andrés Pech-Pérez |
| author_sort | Andrés Pech-Pérez |
| collection | DOAJ |
| description | Reducing the uncertainties in the detection of fluid-filled fractures and faults is essential for natural resource exploration and earthquake forecasting, yet it remains a complex challenge. This study explores the hypothesis that seismic anisotropy and wave resonances can help to reduce uncertainties in fracture and fault detection, particularly in the Noto Peninsula. Seismic data from KiK-net stations ISKH06 and ISKH04 are analyzed using deconvolution and empirical mode decomposition (EMD) to identify wave patterns possibly related to fluid flow and crack propagation. The ISKH06 and ISKH04 stations have boreholes equipped with triaxial accelerometers at depths of 200 m and 100 m, respectively, as well as at the surface. Deconvolution of seismic events recorded at the surface and at depth helps identify anisotropic layers. To interpret interferograms, the study utilizes a one-dimensional layered medium, empirical mode decomposition, and an orthorhombic model. Genuine resonances or tremors are identified mainly along: a) directions subparallel to horizontal stress orientations, and b) directions that traverse intersecting fractures. This study can significantly impact the fields of resource exploration and production, and earthquake preparedness, by providing strategies to mitigate the uncertainties in the detection of subsurface fractures and faults, ultimately leading to better resource management, improved characterization of fluid mobility, and enhanced seismic hazard assessments. |
| format | Article |
| id | doaj-art-aca879d8d0d34af1b5c842a55cb8ad39 |
| institution | Kabale University |
| issn | 2211-7148 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Earth Sciences |
| spelling | doaj-art-aca879d8d0d34af1b5c842a55cb8ad392025-01-30T05:14:03ZengElsevierResults in Earth Sciences2211-71482025-12-013100063Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decompositionAndrés Pech-Pérez0Instituto Tecnológico de Oaxaca, Avenida Ingeniero Víctor Bravo Ahuja 125, Esquina Calzada Tecnológico, Oaxaca de Juárez, Oaxaca, Mexico; Smart Ray Geosolutions, Privada de Rosales 107, Colonia Reforma, Oaxaca de Juárez, Oaxaca, Mexico; Corresponding author at: Instituto Tecnológico de Oaxaca, Avenida Ingeniero Víctor Bravo Ahuja 125, Esquina Calzada Tecnológico, Oaxaca de Juárez, Oaxaca, Mexico.Reducing the uncertainties in the detection of fluid-filled fractures and faults is essential for natural resource exploration and earthquake forecasting, yet it remains a complex challenge. This study explores the hypothesis that seismic anisotropy and wave resonances can help to reduce uncertainties in fracture and fault detection, particularly in the Noto Peninsula. Seismic data from KiK-net stations ISKH06 and ISKH04 are analyzed using deconvolution and empirical mode decomposition (EMD) to identify wave patterns possibly related to fluid flow and crack propagation. The ISKH06 and ISKH04 stations have boreholes equipped with triaxial accelerometers at depths of 200 m and 100 m, respectively, as well as at the surface. Deconvolution of seismic events recorded at the surface and at depth helps identify anisotropic layers. To interpret interferograms, the study utilizes a one-dimensional layered medium, empirical mode decomposition, and an orthorhombic model. Genuine resonances or tremors are identified mainly along: a) directions subparallel to horizontal stress orientations, and b) directions that traverse intersecting fractures. This study can significantly impact the fields of resource exploration and production, and earthquake preparedness, by providing strategies to mitigate the uncertainties in the detection of subsurface fractures and faults, ultimately leading to better resource management, improved characterization of fluid mobility, and enhanced seismic hazard assessments.http://www.sciencedirect.com/science/article/pii/S2211714825000056Seismic deconvolutionShear wave velocityTime-lapse changesSeismic interferometryLayered media |
| spellingShingle | Andrés Pech-Pérez Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition Results in Earth Sciences Seismic deconvolution Shear wave velocity Time-lapse changes Seismic interferometry Layered media |
| title | Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition |
| title_full | Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition |
| title_fullStr | Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition |
| title_full_unstemmed | Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition |
| title_short | Detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the Noto Peninsula using seismic interferometry and empirical mode decomposition |
| title_sort | detection of seismic anisotropy and azimuthally varying resonances from seismic data recorded at the noto peninsula using seismic interferometry and empirical mode decomposition |
| topic | Seismic deconvolution Shear wave velocity Time-lapse changes Seismic interferometry Layered media |
| url | http://www.sciencedirect.com/science/article/pii/S2211714825000056 |
| work_keys_str_mv | AT andrespechperez detectionofseismicanisotropyandazimuthallyvaryingresonancesfromseismicdatarecordedatthenotopeninsulausingseismicinterferometryandempiricalmodedecomposition |