Full-Waveform Analysis for Pulsed Laser Systems

2018 ◽  
pp. 239-258
Author(s):  
Uwe Stilla ◽  
Boris Jutzi
Geophysics ◽  
1987 ◽  
Vol 52 (4) ◽  
pp. 502-513 ◽  
Author(s):  
Brian E. Hornby ◽  
William F. Murphy

The SDT-A sonic tool was tested in a borehole in the Orinoco heavy oil belt, eastern Venezuela. The sonically slow reservoir consists of unconsolidated quartz sand interbedded with shale. Full‐waveform analysis yields both compressional and shear slownesses. We calculated the shear‐wave slowness from the Stoneley slowness; compressional and Stoneley slownesses were determined using modified semblance techniques. The compressional velocity is relatively fast in the heavy oil pay zone compared to the remainder of the well. Heavy oil (8 API) possesses a finite rigidity at sonic frequencies, and the rigidity of the hydrocarbon adds to the stiffness of the poorly consolidated sand. The sand would not otherwise yield such a high velocity. Compressional and shear velocities of samples from eight whole cores were measured in the laboratory, and the core velocities were found to be consistent with the logs. Especially encouraging is the agreement of the laboratory shear with the shear log derived from Stoneley. The ratio of the compressional‐to‐shear velocities, [Formula: see text], is sensitive to fluid saturation and rock fabric. The oil sands have a [Formula: see text] of less than 2.5. The shales in the well have a [Formula: see text] of greater than 2.5. We found that water‐saturated formations are governed by Biot’s theory, while oil sands are better described by scattering theory. A third arrival has been identified as a leaky compressional mode trapped in the borehole. The velocity of the mode is dominated by the slowness of the borehole mud.


1992 ◽  
Vol 89 (2-4) ◽  
pp. 223-228 ◽  
Author(s):  
Antonello Cutolo ◽  
Luigi Zeni

2020 ◽  
Author(s):  
Anselme F.E. Borgeaud ◽  
Maria Koroni ◽  
Frédéric Deschamps

<div>This study presents a new approach for investigating the structure of the core-mantle boundary (CMB)</div><div>topography based on full-waveforms and adjoint methods. We compute intermediate period (10-20 seconds)</div><div>spectral-element seismograms using existing models of core-mantle boundary topography and we analyse the</div><div>sensitivity of relevant seismic phases. Our study adds new information about effects of CMB structure on</div><div>exact synthetics and observable traveltimes of seismic body waves by means of sensitivity kernels. It also</div><div>highlights the difficulty of imaging the boundary due to the strong trade-off between velocity and topography</div><div>variations, addressed by many previous investigators.</div><div> </div><div>Given the significance of CMB and its importance for many disciplines in geophysical research, there have</div><div>been many studies trying to understand and geographically map the variations of topography and velocity</div><div>above this boundary. However, the vast mantle area wherein seismic waves travel before and after they</div><div>interact with the CMB makes the identification of desired seismic phases somehow difficult. In addition, the</div><div>observable traveltimes can be hard to interpret as a result of the boundary’s topography only, due to the</div><div>approximate inverse methods and limited modelling methodologies. Despite considerable progress made the</div><div>past years, there is still a necessity for improving the understanding of effects of core-mantle boundary and</div><div>D″ structure on recorded waveforms.</div><div> </div><div>For our analyses, we perform comparisons between time shifts due to topography made on full-waveform</div><div>synthetics to ray theoretical predictions in order to assess methods usually deployed for imaging CMB.</div><div>Then, we calculate the corresponding sensitivity kernel for time windows around the theoretical arrival of</div><div>each phase. We focus on diffracted, core reflected and refracted <em>P</em> and <em>S</em> waves. The sensitivity kernels</div><div>depict the finite-frequency nature of these waves and possible contributions from other phases unpredictable</div><div>by ray theory. Results show that for most phases ray theory performs acceptably with some accuracy loss,</div><div>however comparisons of the effect of velocity variations to topography on traveltimes are discouraging due</div><div>to the low sensitivity to the latter.</div><div> </div><div>The conclusions drawn by our traveltime and sensitivity analyses are twofold. Firstly, using spectral-</div><div>element waveforms, the seismic phases which are frequently found in literature can be thoroughly investigated</div><div>and better understood, since their traveltime sensitivity through mantle and core is explicitly shown. The</div><div>full-waveform analysis allows us to assess the usability of phases which are informative for core-mantle</div><div>boundary structure and its topography. Secondly, we propose that using the analysed phases simultaneously</div><div>in a full-waveform inversion scheme will improve imaging of the CMB, while also allowing to jointly invert</div><div>for velocity variations along the D″ layer, which is generally poorly understood. From this study, we want</div><div>to promote advanced techniques of full-waveform inversion for improving CMB and lower mantle models.</div>


1974 ◽  
Vol 6 (3) ◽  
pp. 479-483 ◽  
Author(s):  
Shammai Speiser
Keyword(s):  

Author(s):  
Andrew M. Wallace EURASIP Member ◽  
Jing Ye EURASIP Member ◽  
Nils J. Krichel ◽  
Aongus McCarthy ◽  
Robert J. Collins ◽  
...  

Author(s):  
K. Richter ◽  
D. Mader ◽  
P. Westfeld ◽  
H.-G. Maas

Abstract. Airborne LiDAR bathymetry is an efficient technique for surveying the bottom of shallow waters. In addition, the measurement data contain valuable information about the local turbidity conditions in the water body. The extraction of this information requires appropriate evaluation methods examining the decay of the recorded waveform signal. Existing approaches are based on several assumptions concerning the influence of the ALB system on the waveform signal, the extraction of the volume backscatter, and the directional independence of turbidity. The paper presents a novel approach that overcomes the existing limitations using two alternative turbidity estimation methods as well as different variants of further processed full-waveform data. For validation purposes, the approach was applied to a data set of a shallow inland water. The results of the quantitative evaluation show, which method and which data basis is best suited for the derivation of area wide water turbidity information.


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