Low-Frequency Centroid Moment Tensor Inversion of the 2015 Illapel Earthquake from Superconducting-Gravimeter Data     

Eliška Zábranová  Ctirad Matyska 《Pure and Applied Geophysics》2016,173(4):1021-1027

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Erratum to: Flare-Shaped Acoustic Anomalies in the Water Column Along the Ecuadorian Margin: Relationship with Active Tectonics and Gas Hydrates     

Francois Michaud  Jean-Noël Proust  Alexandre Dano  Jean-Yves Collot  Grâce Daniella Guiyeligou  María José Hernández Salazar  Gueorgui Ratzov  Carlos Martillo  Hugo Pouderoux  Laure Schenini  Jean-Frederic Lebrun  Glenda Loayza 《Pure and Applied Geophysics》2016,173(4):1429-1429

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Active Crustal Deformation in the Area of San Carlos,Baja California Sur,Mexico as Shown by Data of Local Earthquake Sequences     

Luis Munguía  Mario González-Escobar  Miguel Navarro  Tito Valdez  Sergio Mayer  Alfredo Aguirre  Victor Wong  Manuel Luna 《Pure and Applied Geophysics》2016,173(10-11):3631-3644

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Low Angle Contact Between the Oaxaca and Juárez Terranes Deduced From Magnetotelluric Data     

Jorge A. Arzate-Flores  Roberto Molina-Garza  Fernando Corbo-Camargo  Víctor Márquez-Ramírez 《Pure and Applied Geophysics》2016,173(10-11):3357-3371

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The Triglav Glacier (South-Eastern Alps,Slovenia): Volume Estimation,Internal Characterization and 2000–2013 Temporal Evolution by Means of Ground Penetrating Radar Measurements     

Costanza Del Gobbo  Renato R. Colucci  Emanuele Forte  Michaela Triglav Čekada  Matija Zorn 《Pure and Applied Geophysics》2016,173(8):2753-2766

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A Case Study of the Mechanisms Modulating the Evolution of Valley Fog     

C. Hang  D. F. Nadeau  I. Gultepe  S. W. Hoch  C. Román-Cascón  K. Pryor  H. J. S. Fernando  E. D. Creegan  L. S. Leo  Z. Silver  E. R. Pardyjak 《Pure and Applied Geophysics》2016,173(9):3011-3030

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Estimation of Seismic and Aseismic Deformation in Mexicali Valley,Baja California,Mexico, in the 2006–2009 Period,Using Precise Leveling,DInSAR, Geotechnical Instruments Data,and Modeling     

Olga Sarychikhina  Ewa Glowacka  Braulio Robles  F. Alejandro Nava  Miguel Guzmán 《Pure and Applied Geophysics》2015,172(11):3139-3162

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Identification of T-Waves in the Alboran Sea     

Enrique Carmona  Javier Almendros  Gerardo Alguacil  Juan Ignacio Soto  Francisco Luzón  Jesús M. Ibáñez 《Pure and Applied Geophysics》2015,172(11):3179-3188

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Spatial and Spectral Representations of the Geoid-to-Quasigeoid Correction     

Robert Tenzer  Christian Hirt  Sten Claessens  Pavel Novák 《Surveys in Geophysics》2015,36(5):627-658

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Application of diffracted wave analysis to time‐lapse seismic data for CO2 leakage detection     

Faisal Alonaizi  Roman Pevzner  Andrej Bóna  Mohammad Alshamry  Eva Caspari  Boris Gurevich 《Geophysical Prospecting》2014,62(2):197-209

Time‐lapse seismic analysis is utilized in CO₂ geosequestration to verify the CO₂ containment within a reservoir. A major risk associated with geosequestration is a possible leakage of CO₂ from the storage formation into overlaying formations. To mitigate this risk, the deployment of carbon capture and storage projects requires fast and reliable detection of relatively small volumes of CO₂ outside the storage formation. To do this, it is necessary to predict typical seepage scenarios and improve subsurface seepage detection methods. In this work we present a technique for CO₂ monitoring based on the detection of diffracted waves in time‐lapse seismic data. In the case of CO₂ seepage, the migrating plume might form small secondary accumulations that would produce diffracted, rather than reflected waves. From time‐lapse data analysis, we are able to separate the diffracted waves from the predominant reflections in order to image the small CO₂ plumes. To explore possibilities to detect relatively small amounts of CO₂, we performed synthetic time‐lapse seismic modelling based on the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC) Otway project data. The detection method is based on defining the CO₂ location by measuring the coherency of the signal along diffraction offset‐traveltime curves. The technique is applied to a time‐lapse stacked section using a stacking velocity to construct offset‐traveltime curves. Given the amount of noise found in the surface seismic data, the predicted minimum detectable amount of CO₂ is 1000–2000 tonnes. This method was also applied to real data obtained from a time‐lapse seismic physical model. The use of diffractions rather than reflections for monitoring small amounts of CO₂ can enhance the capability of subsurface monitoring in CO₂ geosequestration projects.  相似文献