Type
Conference PaperKAUST Department
Center for Subsurface Imaging and Fluid ModelingEarth Science and Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant Number
OCRF-2014-CRG3-2300Date
2018-08-27Online Publication Date
2018-08-27Print Publication Date
2018-08-27Permanent link to this record
http://hdl.handle.net/10754/631206
Metadata
Show full item recordAbstract
We present the theory of wave-equation Radon tomography (WRT) where the slopes and zero-intercept time of early arrivals in the τ−p domain are inverted for the subsurface velocity structure. The early arrivals are windowed in a shot gather, but they are still too wiggly to avoid local minima with a full waveform inversion (FWI) method. To reduce their complexity, a local linear Radon τ−p transform is applied to the events to focus them into few points. These points, which identify the slopes and zero-intercept time of the early arrivals, are picked to give the slowness coordinate pobs i at the zero-intercept time τ i . The misfit function ε=∑ i=1 P (p i −p i obs )2+∑ i=1 P (τ i −τ i obs )2 is computed and a gradient optimization method is used to find the optimal velocity model that minimizes e. Results with synthetic data and field data show that WRT can accurately reconstruct the nearsurface P-wave velocity model and converges faster than other wave-equation methods.Citation
Ibrahim A, Schuster GT, Hanafy SM (2018) Wave-equation Radon tomography for early arrivals. SEG Technical Program Expanded Abstracts 2018. Available: http://dx.doi.org/10.1190/segam2018-2998360.1.Sponsors
We thank the sponsors for supporting the Consortium of Subsurface Imaging and Fluid Modeling (CSIM). We also thank KAUST for providing funding by the CRG grant OCRF-2014-CRG3-2300. For computer time, this research used the resources of the Supercomputing Laboratory at KAUST.Publisher
Society of Exploration GeophysicistsConference/Event name
88th Society of Exploration Geophysicists International Exposition and Annual Meeting, SEG 2018Additional Links
https://library.seg.org/doi/10.1190/segam2018-2998360.1ae974a485f413a2113503eed53cd6c53
10.1190/segam2018-2998360.1