Automated detection and characterization of harmonic tremor in continuous seismic data
Sign Up to like & getrecommendations! Published in 2017 at "Geophysical Research Letters"
DOI: 10.1002/2017gl073715
Abstract: Harmonic tremor is a common feature of volcanic, hydrothermal, and ice-sheet seismicity, and is thus an important proxy for monitoring changes in these systems. However, no automated methods for detecting harmonic tremor currently exist. Because… read more here.
Keywords: harmonic tremor; automated detection; detection characterization; seismic data ... See more keywords
Reprocessing of high‐resolution seismic data for imaging of shallow groundwater resources in glacial deposits, SE Sweden
Sign Up to like & getrecommendations! Published in 2020 at "Near Surface Geophysics"
DOI: 10.1002/nsg.12101
Abstract: Reprocessing of high-resolution seismic reflection data over groundwater-bearingglacial deposits near Heby, southeastern Sweden, improved the images of near-surface structure at this site. Post-sta ... read more here.
Keywords: high resolution; groundwater; resolution seismic; seismic data ... See more keywords
Sub-basalt Imaging of Hydrocarbon-Bearing Mesozoic Sediments Using Ray-Trace Inversion of First-Arrival Seismic Data and Elastic Finite-Difference Full-Wave Modeling Along Sinor–Valod Profile of Deccan Syneclise, India
Sign Up to like & getrecommendations! Published in 2018 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-018-1831-z
Abstract: Imaging below the basalt for hydrocarbon exploration is a global problem because of poor penetration and significant loss of seismic energy due to scattering, attenuation, absorption and mode-conversion when the seismic waves encounter a highly… read more here.
Keywords: basalt; full wave; hydrocarbon; seismic data ... See more keywords
Image-oriented distance parameterization for ensemble-based seismic history matching
Sign Up to like & getrecommendations! Published in 2017 at "Computational Geosciences"
DOI: 10.1007/s10596-017-9652-1
Abstract: Time-lapse (4D) seismic data provides spatial information about dynamic changes in a reservoir. This information can be used in combination with production data from wells to adjust reservoir models through a history matching procedure. However,… read more here.
Keywords: distance; seismic data; distance parameterization; history matching ... See more keywords
Comprehensive Correlations Between the Geotechnical and Seismic Data Conducted via Bender Element
Sign Up to like & getrecommendations! Published in 2019 at "Geotechnical and Geological Engineering"
DOI: 10.1007/s10706-019-00963-5
Abstract: Bender element (BE) is a useful seismic tool to predict the geotechnical soil properties using empirical correlations. However, there were uncertainties in the correlation equations which were not discussed in detail. In this study, the… read more here.
Keywords: seismic wave; bender element; correlation equations; seismic data ... See more keywords
Combined Gravimetric–Seismic Crustal Model for Antarctica
Sign Up to like & getrecommendations! Published in 2017 at "Surveys in Geophysics"
DOI: 10.1007/s10712-017-9423-5
Abstract: The latest seismic data and improved information about the subglacial bedrock relief are used in this study to estimate the sediment and crustal thickness under the Antarctic continent. Since large parts of Antarctica are not… read more here.
Keywords: crust; antarctica; seismic data; moho depth ... See more keywords
Prediction of coal-bearing strata characteristics using multi-component seismic data—a case study of Guqiao coalmine in China
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal of Geosciences"
DOI: 10.1007/s12517-018-3767-0
Abstract: The longwall mining method has been widely used in underground mining of coal seams. For longwall mining, the stability of coal-seam roofs and hardness of coal rocks in coal-bearing strata are particularly important. High-precision multi-component… read more here.
Keywords: coal seam; component seismic; multi component; seismic data ... See more keywords
Seismic imaging of complex geometry: Forward modeling of sandstone intrusions
Sign Up to like & getrecommendations! Published in 2019 at "Earth and Planetary Science Letters"
DOI: 10.1016/j.epsl.2019.02.011
Abstract: Abstract Sandstone intrusions form large bedding-discordant sandstones that intruded into finer grained, less permeable host strata. They form naturally sand-propped hydraulic fractures that constitute a connected network of permeable conduits through which fluids escape to… read more here.
Keywords: sandstone intrusions; seismic data; forward modeling; geometry ... See more keywords
Using seismic data to estimate the spatial distribution of rock thermal conductivity at reservoir scale
Sign Up to like & getrecommendations! Published in 2017 at "Geothermics"
DOI: 10.1016/j.geothermics.2016.11.007
Abstract: Abstract Subsurface rock thermal conductivity predictions from laboratory measurements are limited by the number of available borehole data or of analogue outcrops. A method for spatially predicting subsurface rock thermal conductivity is demonstrated by using… read more here.
Keywords: seismic data; thermal conductivity; conductivity; using seismic ... See more keywords
Wave equation datuming applied to S-wave reflection seismic data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2018.03.015
Abstract: Abstract S-wave high-resolution reflection seismic data was processed using Wave Equation Datuming technique in order to improve signal/noise ratio, attenuating coherent noise, and seismic resolution and to solve static corrections problems. The application of this… read more here.
Keywords: equation datuming; reflection seismic; wave equation; seismic data ... See more keywords
Learning dictionary in the approximately flattened structure domain
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2018.09.010
Abstract: Abstract Dictionary learning provides an adaptive way to optimally represent a given dataset. In dictionary learning, the basis function is adapted according to the given data instead of being fixed in many analytical sparse transforms.… read more here.
Keywords: flattened structure; dictionary learning; seismic data; approximately flattened ... See more keywords