“Using full waveform inversion (FWI) to locate microseismic sources and image microseismic events allows for a data-driven process (free of picking) that utilizes the full wavefield. However, waveform inversion of microseismic events faces incredible nonlinearity due to the unknown source location (space) and function (time).

We develop an elastic FWI algorithm geared to handle microseismic events as it inverts for the source image, source function and the velocity model, without any prior information about source location or source function in time. The objective function is based on convolving reference traces with the observed and modeled data to mitigate the cycle skipping problem caused by an unknown source ignition time. A reformulation of the source term in elastic wave equation is used to allow for a source image in elastic media, short of the often underdetermined source moment tensor. The adjoint-state method is used to derive the gradients for the source images, source function and the velocities update. By inverting for all the three unknowns, the proposed method produces good estimates of the source location, ignition time and the background velocity of a modified Marmousi model.”


Article metrics loading...

Loading full text...

Full text loading...


  1. Choi, Y. and Alkhalifah, T.
    [2011] Source-independent time-domain waveform inversion using convolved wavefields: Application to the encoded multisource waveform inversion. Geophysics. 76(5), R125–R134.
    [Google Scholar]
  2. Eisner, L., Duncan, P.M., Heigl, W.M. and Keller, W.R.
    [2009] Uncertainties in passive seismic monitoring. The Leading Edge. 28(6), 648–655.
    [Google Scholar]
  3. Guo, Q. and Alkhalifah, T.
    [2017] Elastic reflection-based waveform inversion with a nonlinear approach. GEOPHYSICS. 82(6), R309–R321.
    [Google Scholar]
  4. Raderli, J., McChesney, M.D., Minkoff, S.E. et al.
    [2015] Microseismic Event Estimation in Noisy Data via Full Waveform Inversion. In: 2015 SEG Annual Meeting. Society of Exploration Geophysicists.
    [Google Scholar]
  5. Nakata, N. and Beroza, G.C.
    [2016] Reverse time migration for microseismic sources using the geometric mean as an imaging condition. Geophysics. 81(2), KS51–KS60.
    [Google Scholar]
  6. Sun, J., Xue, Z., Zhu, T., Fomel, S. and Nakata, N.
    [2016] Full-waveform inversion of passive seismic data for sources and velocities. In: SEG Technical Program Expanded Abstracts 2016. Society of Exploration Geophysicists, 1405–1410.
    [Google Scholar]
  7. Wang, H. and Alkhalifah, T.
    [2016] Micro-seismic Imaging Using Source-independent Waveform Inversion. In: 78th EAGE Conference and Exhibition 2016.
    [Google Scholar]
  8. [2017] Time Reversal Migration for Passive Sources Using a Maximum Variance Imaging Condition. In: 79th EAGE Conference and Exhibition 2017.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error