Detailed information about the sediment properties and microstructure can be provided through the analysis of digital ultrasonic P wave seismograms recorded automatically during full waveform core logging. The physical parameter which predominantly affects the elastic wave propagation in water-saturated sediments is the P wave attenuation coefficient. The related sedimentological parameter is the grain size distribution. A set of high-resolution ultrasonic transmission seismograms (ca. 50-500 kHz), which indicate downcore variations in the grain size by their signal shape and frequency content, are presented. Layers of coarse-grained foraminiferal ooze can be identified by highly attenuated P waves, whereas almost unattenuated waves are rec...
Near-bottom normal incidence acoustic reflection data and sediment physical property data are used t...
Echo energies of single-beam echo sounders are inverted for the sediment mean grain size via a combi...
A remote marine sediment classification model that can be implemented in real time is developed. The...
Detailed information about the sediment properties and microstructure can be provided through the an...
Ultrasonic P wavc transmission seismograms recorded on sediment cores have been analyzed to study th...
The effects of grain size and density on compressional wave speed and attenuation are investigated f...
Synthetic seismograms were generated by convolving in a digital computer pulse shapes of various pea...
Seismic quality factor has the potential to characterize sediment properties but seldom is used by t...
Knowledge of near-surface seismic-wave velocity of granular materials plays a valuable role in seism...
The loss of elastic energy to the medium can be quantified by the quality factor Q. Acoustic full wa...
International audienceCore Ideas - We tested the sensitivity of seismic measurements to water sat...
Thesis (Ph. D.)--University of Hawaii at Manoa, 1993.Microfiche.xiii, 114 leaves, bound 29 cmIn this...
The inversion of compressional wave properties is presently emerging as a technique for determining ...
We examined geophysical data from a Multi-Sensor Core Logger (MSCL), a logging device providing cont...
The mechanical properties of any substance are essential facts to understand its behaviour and make ...
Near-bottom normal incidence acoustic reflection data and sediment physical property data are used t...
Echo energies of single-beam echo sounders are inverted for the sediment mean grain size via a combi...
A remote marine sediment classification model that can be implemented in real time is developed. The...
Detailed information about the sediment properties and microstructure can be provided through the an...
Ultrasonic P wavc transmission seismograms recorded on sediment cores have been analyzed to study th...
The effects of grain size and density on compressional wave speed and attenuation are investigated f...
Synthetic seismograms were generated by convolving in a digital computer pulse shapes of various pea...
Seismic quality factor has the potential to characterize sediment properties but seldom is used by t...
Knowledge of near-surface seismic-wave velocity of granular materials plays a valuable role in seism...
The loss of elastic energy to the medium can be quantified by the quality factor Q. Acoustic full wa...
International audienceCore Ideas - We tested the sensitivity of seismic measurements to water sat...
Thesis (Ph. D.)--University of Hawaii at Manoa, 1993.Microfiche.xiii, 114 leaves, bound 29 cmIn this...
The inversion of compressional wave properties is presently emerging as a technique for determining ...
We examined geophysical data from a Multi-Sensor Core Logger (MSCL), a logging device providing cont...
The mechanical properties of any substance are essential facts to understand its behaviour and make ...
Near-bottom normal incidence acoustic reflection data and sediment physical property data are used t...
Echo energies of single-beam echo sounders are inverted for the sediment mean grain size via a combi...
A remote marine sediment classification model that can be implemented in real time is developed. The...