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Electrophysical properties of Bazhen formation based on the numerical inversion of electrical log data. / Epov, M.; Sukhorukova, K.; Glinskikh, V. et al.

2019. 1-4 Paper presented at 21st Conference on Oil and Gas Geological Exploration and Development, GEOMODEL 2019, Gelendzhik, Russian Federation.

Research output: Contribution to conference › Paper › peer-review

Harvard

Epov, M, Sukhorukova, K, Glinskikh, V, Petrov, A & Fedoseev, A 2019, 'Electrophysical properties of Bazhen formation based on the numerical inversion of electrical log data', Paper presented at 21st Conference on Oil and Gas Geological Exploration and Development, GEOMODEL 2019, Gelendzhik, Russian Federation, 09.09.2019 - 13.09.2019 pp. 1-4. https://doi.org/10.3997/2214-4609.201950069

APA

Epov, M., Sukhorukova, K., Glinskikh, V., Petrov, A., & Fedoseev, A. (2019). Electrophysical properties of Bazhen formation based on the numerical inversion of electrical log data. 1-4. Paper presented at 21st Conference on Oil and Gas Geological Exploration and Development, GEOMODEL 2019, Gelendzhik, Russian Federation. https://doi.org/10.3997/2214-4609.201950069

Vancouver

Epov M, Sukhorukova K, Glinskikh V, Petrov A, Fedoseev A. Electrophysical properties of Bazhen formation based on the numerical inversion of electrical log data. 2019. Paper presented at 21st Conference on Oil and Gas Geological Exploration and Development, GEOMODEL 2019, Gelendzhik, Russian Federation. doi: 10.3997/2214-4609.201950069

Author

Epov, M. ; Sukhorukova, K. ; Glinskikh, V. et al. / Electrophysical properties of Bazhen formation based on the numerical inversion of electrical log data. Paper presented at 21st Conference on Oil and Gas Geological Exploration and Development, GEOMODEL 2019, Gelendzhik, Russian Federation.4 p.

BibTeX

@conference{cc6938421615499ea6de08d67952326f,
title = "Electrophysical properties of Bazhen formation based on the numerical inversion of electrical log data",
abstract = "We have developed new software for the numerical inversion of galvanic and induction measurements. Developed software is based on finite-element algorithms for 2D and 3D signals simulating and numerical analytical algorithms for electromagnetic signals transformations. Parallel computations on CPU and GPU are used to speed up the solution of direct problems in complex medium models. We use the BKZ (unfocused lateral logging tool with gradient arrays) and VEMKZ (high-frequency electromagnetic sounding tool) signals to estimate the electrical anisotropy and dielectric constant of impermeable high resistivity deposits. Using developed algorithms we performed the interpretation of practical data measured with SKL logging equipment on the Bazhenov Formation intervals in the central regions of Western Siberia. The electrophysical parameters of the Bazhenov Formation and stratigraphically identical deposits are studied, the material composition is determined, the main lithological types are identified. The results of the numerical inversion are consistent with laboratory measurements.",
author = "M. Epov and K. Sukhorukova and V. Glinskikh and A. Petrov and A. Fedoseev",
year = "2019",
doi = "10.3997/2214-4609.201950069",
language = "English",
pages = "1--4",
note = "21st Conference on Oil and Gas Geological Exploration and Development, GEOMODEL 2019 ; Conference date: 09-09-2019 Through 13-09-2019",

}

RIS

TY - CONF

T1 - Electrophysical properties of Bazhen formation based on the numerical inversion of electrical log data

AU - Epov, M.

AU - Sukhorukova, K.

AU - Glinskikh, V.

AU - Petrov, A.

AU - Fedoseev, A.

PY - 2019

Y1 - 2019

N2 - We have developed new software for the numerical inversion of galvanic and induction measurements. Developed software is based on finite-element algorithms for 2D and 3D signals simulating and numerical analytical algorithms for electromagnetic signals transformations. Parallel computations on CPU and GPU are used to speed up the solution of direct problems in complex medium models. We use the BKZ (unfocused lateral logging tool with gradient arrays) and VEMKZ (high-frequency electromagnetic sounding tool) signals to estimate the electrical anisotropy and dielectric constant of impermeable high resistivity deposits. Using developed algorithms we performed the interpretation of practical data measured with SKL logging equipment on the Bazhenov Formation intervals in the central regions of Western Siberia. The electrophysical parameters of the Bazhenov Formation and stratigraphically identical deposits are studied, the material composition is determined, the main lithological types are identified. The results of the numerical inversion are consistent with laboratory measurements.

AB - We have developed new software for the numerical inversion of galvanic and induction measurements. Developed software is based on finite-element algorithms for 2D and 3D signals simulating and numerical analytical algorithms for electromagnetic signals transformations. Parallel computations on CPU and GPU are used to speed up the solution of direct problems in complex medium models. We use the BKZ (unfocused lateral logging tool with gradient arrays) and VEMKZ (high-frequency electromagnetic sounding tool) signals to estimate the electrical anisotropy and dielectric constant of impermeable high resistivity deposits. Using developed algorithms we performed the interpretation of practical data measured with SKL logging equipment on the Bazhenov Formation intervals in the central regions of Western Siberia. The electrophysical parameters of the Bazhenov Formation and stratigraphically identical deposits are studied, the material composition is determined, the main lithological types are identified. The results of the numerical inversion are consistent with laboratory measurements.

UR - http://www.scopus.com/inward/record.url?scp=85089716155&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.201950069

DO - 10.3997/2214-4609.201950069

M3 - Paper

AN - SCOPUS:85089716155

SP - 1

EP - 4

T2 - 21st Conference on Oil and Gas Geological Exploration and Development, GEOMODEL 2019

Y2 - 9 September 2019 through 13 September 2019

ER -

ID: 25297964