It is difficult to estimate the properties of reservoir rocks from seismograms. One way to overcome this problem is to use full waveform inversion (FWI), which is applied to image high-resolution velocities and density models. However, despite the many successful acoustic and elastic FWI applications, this technique cannot recover the fluid properties of reservoir rocks. We present poroelastic FWI in the frequency domain to reconstruct all of the poroelastic parameters that describe fluid-saturated reservoir rocks. We use a type of quasi-Newton algorithm, 1-BFGS, to implement poroelastic FWI using frequency continuation. We test our algorithm on simple synthetic models as a first step towards realistic poroelastic FWI. In this abstract we also investigate the sensitivity kernels for every parameter of poroelastic media. We analyze and compare all of the inversion results for single parameters and discuss the relationship between the inversion results and the corresponding sensitivity kernels.
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