Standard

Formation evaluation via 2D Processing of induction and galvanic logging data using highperformance computing. / Nikitenko, M. N.; Surodina, I. V.; Mikhaylov, I. V. et al.

77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment. European Association of Geoscientists and Engineers, EAGE, 2015. p. 1150-1154 (77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Nikitenko, MN, Surodina, IV, Mikhaylov, IV, Glinskikh, VN & Suhorukova, CV 2015, Formation evaluation via 2D Processing of induction and galvanic logging data using highperformance computing. in 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment. 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment, European Association of Geoscientists and Engineers, EAGE, pp. 1150-1154, 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment, Madrid, Spain, 01.06.2015. https://doi.org/10.3997/2214-4609.201412646

APA

Nikitenko, M. N., Surodina, I. V., Mikhaylov, I. V., Glinskikh, V. N., & Suhorukova, C. V. (2015). Formation evaluation via 2D Processing of induction and galvanic logging data using highperformance computing. In 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment (pp. 1150-1154). (77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment). European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.201412646

Vancouver

Nikitenko MN, Surodina IV, Mikhaylov IV, Glinskikh VN, Suhorukova CV. Formation evaluation via 2D Processing of induction and galvanic logging data using highperformance computing. In 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment. European Association of Geoscientists and Engineers, EAGE. 2015. p. 1150-1154. (77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment). doi: 10.3997/2214-4609.201412646

Author

Nikitenko, M. N. ; Surodina, I. V. ; Mikhaylov, I. V. et al. / Formation evaluation via 2D Processing of induction and galvanic logging data using highperformance computing. 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment. European Association of Geoscientists and Engineers, EAGE, 2015. pp. 1150-1154 (77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment).

BibTeX

@inproceedings{d21b0875b0d945618f1dd15e97e60ee0,
title = "Formation evaluation via 2D Processing of induction and galvanic logging data using highperformance computing",
abstract = "The accuracy of geoelectric parameters distribution reconstruction and, therefore, of subsequent saturation estimation, can deteriorate due to influence of such geologic factors as carbonatization, clay content, and thin bedding. Thus, the higher the accuracy of electrical logging data interpretation, the better the reliability of saturation evaluation. In this work, to reconstruct spatial resistivity distribution in detail, we achieve the reliability improvement by means of the complex of induction and galvanic borehole sounding techniques, as well as by employing inversion procedure based on multidimensional numerical simulation. We have shown that by applying 2D inversion of high-frequency electromagnetic logging and Russian lateral logging data, parameters of the top and bottom parts of a reservoir, as well as its thin intervals, are refined. Interpretation is conducted in two stages. At the first stage of 1D inversion, the resistivities of the invaded zones and formation are determined, with the resulting model being used as an input for the following stage. Then, the resistivities are specified when fitting a 2D model, along with precising the locations of boundaries. The inversion software is based on the parallel versions of algorithms of solving forward logging problems for high-performance computations on Graphical Processing Units.",
author = "Nikitenko, {M. N.} and Surodina, {I. V.} and Mikhaylov, {I. V.} and Glinskikh, {V. N.} and Suhorukova, {C. V.}",
year = "2015",
doi = "10.3997/2214-4609.201412646",
language = "English",
series = "77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment",
publisher = "European Association of Geoscientists and Engineers, EAGE",
pages = "1150--1154",
booktitle = "77th EAGE Conference and Exhibition 2015",
note = "77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment ; Conference date: 01-06-2015 Through 04-06-2015",

}

RIS

TY - GEN

T1 - Formation evaluation via 2D Processing of induction and galvanic logging data using highperformance computing

AU - Nikitenko, M. N.

AU - Surodina, I. V.

AU - Mikhaylov, I. V.

AU - Glinskikh, V. N.

AU - Suhorukova, C. V.

PY - 2015

Y1 - 2015

N2 - The accuracy of geoelectric parameters distribution reconstruction and, therefore, of subsequent saturation estimation, can deteriorate due to influence of such geologic factors as carbonatization, clay content, and thin bedding. Thus, the higher the accuracy of electrical logging data interpretation, the better the reliability of saturation evaluation. In this work, to reconstruct spatial resistivity distribution in detail, we achieve the reliability improvement by means of the complex of induction and galvanic borehole sounding techniques, as well as by employing inversion procedure based on multidimensional numerical simulation. We have shown that by applying 2D inversion of high-frequency electromagnetic logging and Russian lateral logging data, parameters of the top and bottom parts of a reservoir, as well as its thin intervals, are refined. Interpretation is conducted in two stages. At the first stage of 1D inversion, the resistivities of the invaded zones and formation are determined, with the resulting model being used as an input for the following stage. Then, the resistivities are specified when fitting a 2D model, along with precising the locations of boundaries. The inversion software is based on the parallel versions of algorithms of solving forward logging problems for high-performance computations on Graphical Processing Units.

AB - The accuracy of geoelectric parameters distribution reconstruction and, therefore, of subsequent saturation estimation, can deteriorate due to influence of such geologic factors as carbonatization, clay content, and thin bedding. Thus, the higher the accuracy of electrical logging data interpretation, the better the reliability of saturation evaluation. In this work, to reconstruct spatial resistivity distribution in detail, we achieve the reliability improvement by means of the complex of induction and galvanic borehole sounding techniques, as well as by employing inversion procedure based on multidimensional numerical simulation. We have shown that by applying 2D inversion of high-frequency electromagnetic logging and Russian lateral logging data, parameters of the top and bottom parts of a reservoir, as well as its thin intervals, are refined. Interpretation is conducted in two stages. At the first stage of 1D inversion, the resistivities of the invaded zones and formation are determined, with the resulting model being used as an input for the following stage. Then, the resistivities are specified when fitting a 2D model, along with precising the locations of boundaries. The inversion software is based on the parallel versions of algorithms of solving forward logging problems for high-performance computations on Graphical Processing Units.

UR - http://www.scopus.com/inward/record.url?scp=85020313662&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.201412646

DO - 10.3997/2214-4609.201412646

M3 - Conference contribution

AN - SCOPUS:85020313662

T3 - 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment

SP - 1150

EP - 1154

BT - 77th EAGE Conference and Exhibition 2015

PB - European Association of Geoscientists and Engineers, EAGE

T2 - 77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment

Y2 - 1 June 2015 through 4 June 2015

ER -

ID: 25477141