1887

Abstract

Summary

We introduce a methodology developed with the objective of exploiting complementary information between 1D magnetotelluric (MT) and gravity inversion. To maintain flexibility, we propose a cooperative workflow leveraging standalone inversions. We first perform 1D probabilistic MT inversion to obtain ensembles of models representative of the measurements. We then use the probabilities of presence of the different rock units derived from these ensembles to divide the studied area into domains characterized by positive probabilities to observe the different rock units. Thirdly, these domains are used to constrain the inversion of gravity data by restricting density values accordingly with the rock units of each domain obtained from MT-derived probabilities. We perform the synthetic proof-of-concept using a realistic model based on the framework of a region in the Mansfield area (Victoria, Australia). Results reveal that our methodology can improve subsurface imaging and can be applied to field data.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202113105
2021-10-18
2024-04-26
Loading full text...

Full text loading...

References

  1. Gallardo, L., and M.Meju
    , 2003, Characterization of Heterogeneous Near-Surface Materials by Joint 2D Inversion of Dc Resistivity and Seismic Data: Geophysical Research Letters, 30(13), 1–4.
    [Google Scholar]
  2. Giraud, J., V.Ogarko, E.Pakyuz-Charrier, M. D.Lindsay, and M. W.Jessell
    , 2018, Input and output datasets for the testing of joint inversion code(s) and sensitivity analysis [dataset]: 10.5281/zenodo.1003104.
    [Google Scholar]
  3. Giraud, J., V.Ogarko, R.Martin, M.Jessell, and M.Lindsay
    , 2021, Structural, petrophysical and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code: Geoscientific Model Developpement Discussion [Preprint undergoing public review].
    [Google Scholar]
  4. Giraud, J., E.Pakyuz-Charrier, M.Jessell, M.Lindsay, R.Martin, and V.Ogarko
    , 2017, Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion: GEOPHYSICS, 82, ID19–ID34.
    [Google Scholar]
  5. Haber, E., and D.Oldenburg
    , 1997, Joint inversion: a structural approach: Inverse Problems, 13, 63–77.
    [Google Scholar]
  6. Lelièvre, P., C.Farquharson, and C.Hurich
    , 2012, Joint Inversion of Seismic Traveltimes and Gravity Data on Unstructured Grids with Application to Mineral Exploration: Geophysics, 77, K1–K15.
    [Google Scholar]
  7. Lelièvre, P. G., and C. G.Farquharson
    , 2016, Integrated Imaging for Mineral Exploration in Integrated Imaging of the Earth: Theory and Applications, 137–166.
    [Google Scholar]
  8. Moorkamp, M., B.Heincke, M.Jegen, R. W.Hobbs, and A. W.Roberts
    , 2016, Joint Inversion in Hydrocarbon Exploration in Integrated Imaging of the Earth: Theory and Applications, 167–189.
    [Google Scholar]
  9. Ogarko, V., J.Giraud, R.Martin, and M.Jessell
    , 2021, Disjoint Interval Bound Constraints Using the Alternating Direction Method of Multipliers for Geologically Constrained Inversion: Application to Gravity Data: Geophysics, 86, G1–G11.
    [Google Scholar]
  10. Pakyuz-Charrier, E. I. G.
    , 2018, Mansfield (Victoria, Australia) area original GeoModeller model and relevant MCUE outputs: 10.5281/zenodo.1156139.
    [Google Scholar]
  11. Seillé, H., and G.Visser
    , 2020, Bayesian Inversion of Magnetotelluric Data considering Dimensionality Discrepancies: Geophysical Journal International, 223, 1565–1583.
    [Google Scholar]
  12. Sun, J., and Y.Li
    , 2015, Multidomain petrophysically constrained inversion and geology differentiation using guided fuzzy c-means clustering: Geophysics, 80, ID1–ID18.
    [Google Scholar]
  13. Visser, G.
    , 2019, Smart Stitching: Adding Lateral Priors to Ensemble Inversions as a Post-Processing Step: Aseg Extended Abstracts2019:1, 1–4.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202113105
Loading
/content/papers/10.3997/2214-4609.202113105
Loading

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