Standard

Numerical inversion of electrologging data in higly deviated and horizontal boreholes. / Nikitenko, M. N.; Glinskikh, V. N.; Suhorukova, K. V. et al.

Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development. European Association of Geoscientists and Engineers, EAGE, 2016. (Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Nikitenko, MN, Glinskikh, VN, Suhorukova, KV & Epov, MI 2016, Numerical inversion of electrologging data in higly deviated and horizontal boreholes. in Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development. Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development, European Association of Geoscientists and Engineers, EAGE, 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development, Geomodel 2016, Gelendzhik, Russian Federation, 12.09.2016.

APA

Nikitenko, M. N., Glinskikh, V. N., Suhorukova, K. V., & Epov, M. I. (2016). Numerical inversion of electrologging data in higly deviated and horizontal boreholes. In Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development (Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development). European Association of Geoscientists and Engineers, EAGE.

Vancouver

Nikitenko MN, Glinskikh VN, Suhorukova KV, Epov MI. Numerical inversion of electrologging data in higly deviated and horizontal boreholes. In Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development. European Association of Geoscientists and Engineers, EAGE. 2016. (Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development).

Author

Nikitenko, M. N. ; Glinskikh, V. N. ; Suhorukova, K. V. et al. / Numerical inversion of electrologging data in higly deviated and horizontal boreholes. Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development. European Association of Geoscientists and Engineers, EAGE, 2016. (Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development).

BibTeX

@inproceedings{b2869a15e14747c6845f4e45d7c87ad7,
title = "Numerical inversion of electrologging data in higly deviated and horizontal boreholes",
abstract = "The paper is devoted to the interpretation of data acquired with the complex of electrologging tools for studying electrophysical properties of geologic sections penetrated by deviated and sub-horizontal boreholes. Currently, target formations are characterized by high vertical heterogeneity, which includes thin bedding of resistivity-contrast interbeds. The application of traditional approaches to evaluate such objects results in unreliable estimates of the reservoir's resistivity and net thickness, and, consequently, the hydrocarbon saturation index. For studying electrophysical properties of rocks exposed by sub-vertical and sub-horizontal wells, we have developed an algorithm for numerical inversion of induction and galvanic soundings data. To enhance the reliability of the interpretation results in highly deviated boreholes, we utilize a horizontally layered interpretation model taking into account thin resistivity-contrast layers, as well as integrate data of induction and galvanic soundings. We have done numerical inversion of the practical data, including joint one, in the intervals of deviated and sub-horizontal wells of Western Siberia. It is shown that an increase or decrease in apparent resistivity owing to the presence of thin clayey or high-resistivity interbeds may significantly understate or overstate oil content.",
author = "Nikitenko, {M. N.} and Glinskikh, {V. N.} and Suhorukova, {K. V.} and Epov, {M. I.}",
year = "2016",
language = "English",
series = "Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development",
publisher = "European Association of Geoscientists and Engineers, EAGE",
booktitle = "Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development",
note = "18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development, Geomodel 2016 ; Conference date: 12-09-2016 Through 15-09-2016",

}

RIS

TY - GEN

T1 - Numerical inversion of electrologging data in higly deviated and horizontal boreholes

AU - Nikitenko, M. N.

AU - Glinskikh, V. N.

AU - Suhorukova, K. V.

AU - Epov, M. I.

PY - 2016

Y1 - 2016

N2 - The paper is devoted to the interpretation of data acquired with the complex of electrologging tools for studying electrophysical properties of geologic sections penetrated by deviated and sub-horizontal boreholes. Currently, target formations are characterized by high vertical heterogeneity, which includes thin bedding of resistivity-contrast interbeds. The application of traditional approaches to evaluate such objects results in unreliable estimates of the reservoir's resistivity and net thickness, and, consequently, the hydrocarbon saturation index. For studying electrophysical properties of rocks exposed by sub-vertical and sub-horizontal wells, we have developed an algorithm for numerical inversion of induction and galvanic soundings data. To enhance the reliability of the interpretation results in highly deviated boreholes, we utilize a horizontally layered interpretation model taking into account thin resistivity-contrast layers, as well as integrate data of induction and galvanic soundings. We have done numerical inversion of the practical data, including joint one, in the intervals of deviated and sub-horizontal wells of Western Siberia. It is shown that an increase or decrease in apparent resistivity owing to the presence of thin clayey or high-resistivity interbeds may significantly understate or overstate oil content.

AB - The paper is devoted to the interpretation of data acquired with the complex of electrologging tools for studying electrophysical properties of geologic sections penetrated by deviated and sub-horizontal boreholes. Currently, target formations are characterized by high vertical heterogeneity, which includes thin bedding of resistivity-contrast interbeds. The application of traditional approaches to evaluate such objects results in unreliable estimates of the reservoir's resistivity and net thickness, and, consequently, the hydrocarbon saturation index. For studying electrophysical properties of rocks exposed by sub-vertical and sub-horizontal wells, we have developed an algorithm for numerical inversion of induction and galvanic soundings data. To enhance the reliability of the interpretation results in highly deviated boreholes, we utilize a horizontally layered interpretation model taking into account thin resistivity-contrast layers, as well as integrate data of induction and galvanic soundings. We have done numerical inversion of the practical data, including joint one, in the intervals of deviated and sub-horizontal wells of Western Siberia. It is shown that an increase or decrease in apparent resistivity owing to the presence of thin clayey or high-resistivity interbeds may significantly understate or overstate oil content.

UR - http://www.scopus.com/inward/record.url?scp=85020033277&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85020033277

T3 - Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development

BT - Geomodel 2016 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development

PB - European Association of Geoscientists and Engineers, EAGE

T2 - 18th Science and Applied Research Conference on Oil and Gas Geological Exploration and Development, Geomodel 2016

Y2 - 12 September 2016 through 15 September 2016

ER -

ID: 25477550