scholarly journals Adaptive Virtual Source Imaging Using the Sequence Intensity Factor: Simulation and Experimental Study

2022 ◽  
Vol 130 (1) ◽  
pp. 397-413
Author(s):  
Chichao Zheng ◽  
Yazhong Wang ◽  
Yadan Wang ◽  
Qing He ◽  
Hu Peng
Keyword(s):  
Experimental Study ◽  
Intensity Factor ◽  
Virtual Source ◽  
Source Imaging

Virtual source imaging in homogeneous media

2016 ◽  
pp. 187-205
Author(s):  
Josselin Garnier ◽  
George Papanicolaou
Keyword(s):  
Virtual Source ◽  
Source Imaging ◽  
Homogeneous Media

Enhanced Amplitude Panning for Virtual Source Imaging

2013 ◽  
Vol 50 (3) ◽  
pp. 139-145 ◽  
Author(s):  
Dong-Il Hyun ◽  
Young-Cheol Park ◽  
Dae Hee Youn
Keyword(s):  
Virtual Source ◽  
Source Imaging

Target-oriented diversity stacking for virtual-source imaging and monitoring

2018 ◽  
Author(s):  
Yang Zhao ◽  
Houzhu Zhang ◽  
Hongwei Liu
Keyword(s):  
Virtual Source ◽  
Source Imaging

Correcting source and receiver scaling for virtual source imaging and monitoring

Geophysics ◽  
2018 ◽  
Vol 83 (3) ◽  
pp. Q15-Q24 ◽  
Author(s):  
Andrey Bakulin ◽  
Dmitry Alexandrov ◽  
Christos Saragiotis ◽  
Abdullah Al Ramadan ◽  
Boris Kashtan
Keyword(s):  
Synthetic Data ◽  
Time Lapse ◽  
Destructive Interference ◽  
Virtual Source ◽  
Source Imaging ◽  
Data Set ◽  
Subsurface Geology ◽  
Monitoring Applications ◽  
Source Signal ◽  
Amplitude Level

Virtual source redatuming is a data-driven interferometric approach that relies on constructive and destructive interference, and as a result it is quite sensitive to input seismic trace amplitudes. Land surveys are prone to amplitude changes that are unrelated to subsurface geology (source/receiver coupling, etc.). We have determined that such variations may be particularly damaging to construct a virtual-source signal for imaging and seismic monitoring applications, and they need to be correctly compensated before satisfactory images, repeatability, and proper relative amplitudes are achieved. We examine two methods to correct for these variations: a redatuming approach based on multidimensional deconvolution and multisurvey surface-consistent (SC) scaling. Using synthetic data, we discover that the first approach can only balance time-dependent variations between repeat surveys, e.g., compensate for variable shot scaling. In contrast, a multisurvey SC approach can compensate for shot and receiver scaling within each survey and among the surveys. As a result, it eliminates redatuming artifacts, brings repeat surveys to a common amplitude level, while preserving relative amplitudes required for quantitative interpretation of 4D amplitude differences. Applying an SC approach to a land time-lapse field data set with buried receivers from Saudi Arabia, we additionally conclude that separate SC scaling of early arrivals and deep reflections may produce better image and repeatability. This is likely due to the significantly different frequency content of early arrivals and deep reflections.

Virtual source imaging in scattering media

2016 ◽  
pp. 206-227
Author(s):  
Josselin Garnier ◽  
George Papanicolaou
Keyword(s):  
Virtual Source ◽  
Scattering Media ◽  
Source Imaging
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