Recent advances on the inversion of deep directional borehole resistivity measurements

Vladimir Puzyrev; David Pardo; Víctor Calo; Carlos Torres-Verdín

doi:10.1080/22020586.2019.12073031

2nd Australasian Exploration Geoscience Conference: Data to Discovery

ISSN: 2202-0586
E-ISSN:

oa Recent advances on the inversion of deep directional borehole resistivity measurements
Authors Vladimir Puzyrev^a, David Pardo^b, Víctor Calo^c and Carlos Torres-Verdín^d
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^a Curtin University Perth, , WA, , Australia, [email protected] ^b University of the Basque Country, BCAM, and Ikerbasque, , Bilbao, , Spain, [email protected] ^c Curtin University and CSIRO Perth, , WA, , Australia, [email protected] ^d The University of Texas at Austin, Austin, TX, USA, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2019, Issue 2nd Australasian Exploration Geoscience Conference: Data to Discovery, Dec 2019, p. 1 - 3
DOI: https://doi.org/10.1080/22020586.2019.12073031
- Published online: 01 Dec 2019

Abstract

Summary

We describe our latest developments on the inversion of subsurface electrical resistivity from deep directional borehole resistivity measurements. Two different methods are introduced for fast inversion of tri-axial induction measurements with multiple transmitter-receiver positions. The first one approximates transversely isotropic (TI) formations with a sequence of “stitched” 1D planarly layered TI sections, which efficiently approximates the solution via 1.5D simulations. The second method uses a pixel-based inversion approach and employs full 3D modelling of borehole EM induction with either an iterative or a direct solver. This enables the inversion of spatial distributions of electrical resistivity of any complexity without restrictions on the symmetry of the models. Numerical examples for several challenging synthetic conditions confirm the accuracy and efficiency of the developed algorithms.

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2026-01-12

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References

Bakr, S.A., Pardo, D., and Torres-Verdín, C., 2017, Fast inversion of logging-while-drilling resistivity measurements acquired in multiple wells: Geophysics, 82(3), E111-E120.
Dupuis, C., Omeragic, D., Chen, Y. H., and Habashy, T., 2014, Inversion-based workflow to image faults crossed by the wellbore using deep directional resistivity provides new way of understanding complex formations: SPWLA 55th Annual Logging Symposium, Society of Petrophysicists and Well-Log Analysts.
Liang, L., Abubakar, A., and Habashy, T. M., 2011, Estimating petrophysical parameters and average mud-filtrate invasion rates using joint inversion of induction logging and pressure transient data: Geophysics, 76(2), E21-E34.
Puzyrev, V., Torres-Verdín, C., and Calo, V. M., 2018, Interpretation of deep directional resistivity measurements acquired in high-angle and horizontal wells using 3-D inversion: Geophysical Journal International, 213(2), 1135-1145.
Seydoux, J., Legendre, E., Mirto, E., Dupuis, C., Denichou, J.-M., Bennett, N., Kutiev, G., Kuchenbecker, M., Morriss, C., and Yang, L., 2014, Full 3D deep directional resistivity measurements optimize well placement and provide reservoirscale imaging while drilling: SPWLA 55th Annual Logging Symposium, Society of Petrophysicists and Well-Log Analysts.
Thiel, M., and Omeragic, D., 2018, Azimuthal imaging using deep-directional resistivity measurements reveals 3D reservoir structure: SPWLA 59th Annual Logging Symposium, Society of Petrophysicists and Well-Log Analysts.

/content/journals/10.1080/22020586.2019.12073031

Article Type: Research Article

Keyword(s): electromagnetic methods; inversion; logging while drilling; tri-axial induction

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oa Recent advances on the inversion of deep directional borehole resistivity measurements

Abstract

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