Joint inversion of full-waveform GPR and ER data enhanced by the envelope transform and cross-gradients
Joint inversion of full-waveform GPR and ER data enhanced by the envelope transform and cross-gradients
复制标题
DOI:
10.1190/gpr2020-087.1
复制
发表时间:
2020-11
期刊:
影响因子:
--
通讯作者:
D. Domenzain;J. Bradford;J. Mead
中科院分区:
文献类型:
--
作者:
D. Domenzain;J. Bradford;J. Mead
We develop an algorithm for joint inversion of full-waveform ground-penetrating radar (GPR) and electrical resistivity (ER) data. GPR is sensitive to electrical permittivity through reflectivity and velocity, and electrical conductivity through reflectivity and attenuation. ER is directly sensitive to electrical conductivity. The two types of data are inherently linked through Maxwell’s equations and we jointly invert them. Results show that the two types of data work cooperatively to effectively regularize each other while honoring the physics of the geophysical methods. We first compute sensitivity updates separately for both the GPR and ER data using the adjoint method, and then we sum these updates to account for both types of sensitivities. The sensitivities are added with the paradigm of letting both data types always contribute to our inversion in proportion to how well their respective objective functions are being resolved in each iteration. Our algorithm makes no assumption of the subsurface geometry nor structural similarities between parameters with the caveat of needing a good initial model. We find that our joint inversion outperforms both GPR and ER separate inversions and determine that GPR effectively supports ER in regions of low conductivity while ER supports GPR in regions with strong attenuation.