Time reversal seismic source imaging using peak average power ratio (PAPR) parameter

Franczyk, Anna; Leśniak, Andrzej; Gwiżdż, Damian

doi:10.1007/s11600-017-0022-0

Cited by 4 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In both cases, the enormous values computed in the given computational node corresponding to the source point location are maintained during the whole process of backward wave propagations. Although both imaging parameters are calculated in much the same manner, the TRI with PAPR coefficient shows a higher spatial resolution that can improve the location of seismic event sequences (Franczyk 2017).…”

Section: Time-reversal Imaging Methods With the Use Of Peak-to-averagementioning

confidence: 99%

“…Microseismic events were also refocused using separate P and S waves's backpropagation to the original source location (Douma and Snieder, 2015). In acoustic wave field modelling, TRI techniques based on the maximum absolute pressure value show lower resolution than TRI techniques based on peak-to-average power ratio (Franczyk et al 2017). PAPR can be also applied to the reconstruction of seismic events that are not separated in time or space, for which using the maximum value of pressure as an imaging parameter can be problematic (Anderson et al 2011).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources

Franczyk

2019

Acta Geophys.

Self Cite

View full text Add to dashboard Cite

The time-reversal imaging method has become a standard technique for seismic source location using both acoustic and elastic wave equations. Although there are many studies on the determination of the relevant parameter for visualization of the time-reversal method, little has been done so far to investigate the accuracy of seismic source location depending on parameters such as the geometry of the seismic network or underestimation of the velocity model. This paper investigates the importance of the accuracy of seismic source location using the time-reversal imaging method of input variables such as seismic network geometry and the assumed geological model. For efficient visualization of seismic wave propagation and interference, peak-to-average power ratio was used. Identification of the importance of variables used in seismic source location was obtained using the Morris elementary effect method, which is a global sensitivity analysis method.

show abstract

Section: Time-reversal Imaging Methods With the Use Of Peak-to-averagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources

Franczyk

2019

Acta Geophys.

Self Cite

View full text Add to dashboard Cite

show abstract

Application of Time-Reversal Acoustics to Seismic Exploration

Gan¹

2021

Time Reversal Acoustics

View full text Add to dashboard Cite

Sensitivity maps for time-reverse imaging: an accuracy study for the Los Humeros Geothermal Field (Mexico)

Finger

Saenger

2020

Geophysical Journal International

View full text Add to dashboard Cite

SUMMARY The estimation of the source–location accuracy of microseismic events in reservoirs is of significant importance. Time-reverse imaging (TRI) provides a highly accurate localization scheme to locate events by time-reversing the recorded full wavefield and back propagating it through a velocity model. So far, the influence of the station geometry and the velocity model on the source–location accuracy is not well known. Therefore, sensitivity maps are developed using the geothermal site of Los Humeros in Mexico to evaluate the spatial variability of the source–location accuracy. Sensitivity maps are created with an assumed gradient velocity model with a constant vp–vs ratio and with a realistic velocity model for the region of Los Humeros. The positions of 27 stations deployed in Los Humeros from September 2017 to September 2018 are used as surface receivers. An automatic localization scheme is proposed that does not rely on any a priori information about the sources and thus negates any user bias in the source locations. The sensitivity maps are created by simulating numerous uniformly distributed sources simultaneously and locating these sources using TRI. The found source locations are compared to the initial source locations to estimate the achieved accuracy. The resulting sensitivity maps show that the station geometry introduces complex patterns in the spatial variation of accuracy. Furthermore, the influence of the station geometry on the source–location accuracy is larger than the influence of the velocity model. Finally, a microearthquake recorded at the geothermal site of Los Humeros is located to demonstrate the usability of the derived sensitivity maps. This study stresses the importance of optimizing station networks to enhance the accuracy when locating seismic events using TRI.

show abstract

Time reversal seismic source imaging using peak average power ratio (PAPR) parameter

Cited by 4 publications

References 36 publications

Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources

Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources

Application of Time-Reversal Acoustics to Seismic Exploration

Sensitivity maps for time-reverse imaging: an accuracy study for the Los Humeros Geothermal Field (Mexico)

Contact Info

Product

Resources

About