Standard

Boolean spectral analysis in categorical reservoir modelling. / Ismagilov, N.; Borovitskiy , V.; Lifshits, M.; Platonova, M.

4th EAGE Conference on Petroleum Geostatistics. European Association of Geoscientists and Engineers, 2019. ThPG14.

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

Harvard

Ismagilov, N, Borovitskiy , V, Lifshits, M & Platonova, M 2019, Boolean spectral analysis in categorical reservoir modelling. in 4th EAGE Conference on Petroleum Geostatistics., ThPG14, European Association of Geoscientists and Engineers, 4th EAGE Conference on Petroleum Geostatistics, Florence, Italy, 2/09/19.

APA

Ismagilov, N., Borovitskiy , V., Lifshits, M., & Platonova, M. (2019). Boolean spectral analysis in categorical reservoir modelling. In 4th EAGE Conference on Petroleum Geostatistics [ThPG14] European Association of Geoscientists and Engineers.

Vancouver

Ismagilov N, Borovitskiy V, Lifshits M, Platonova M. Boolean spectral analysis in categorical reservoir modelling. In 4th EAGE Conference on Petroleum Geostatistics. European Association of Geoscientists and Engineers. 2019. ThPG14

Author

Ismagilov, N. ; Borovitskiy , V. ; Lifshits, M. ; Platonova, M. / Boolean spectral analysis in categorical reservoir modelling. 4th EAGE Conference on Petroleum Geostatistics. European Association of Geoscientists and Engineers, 2019.

BibTeX

@inproceedings{1aeee825d241477bb28ba9fae3746e66,
title = "Boolean spectral analysis in categorical reservoir modelling",
abstract = "The work introduces a new method for simulation of facies distribution for two categories based on Fourier analysis of Boolean functions. According this method, two categories of facies distributed along vertical wells are encoded as Boolean functions taking two values. The subsequent simulation process is divided into three consecutive steps. First, Boolean functions of well data are decomposed into a binary version of Fourier series. Then, decomposition coefficients are simulated over 2-dimensional area as stationary random fields. Finally, synthetic data in the interwell space is reconstructed as Fourier sum from simulated coefficients. The new method was implemented in an experimental software and tested on a case of real oil field.",
keywords = "Boolean functions, Fourier analysis, Gasoline, Oil fields, Software testing, Spectrum analysis",
author = "N. Ismagilov and V. Borovitskiy and M. Lifshits and M. Platonova",
year = "2019",
month = jan,
day = "1",
language = "English",
booktitle = "4th EAGE Conference on Petroleum Geostatistics",
publisher = "European Association of Geoscientists and Engineers",
address = "Netherlands",
note = "4th EAGE Conference on Petroleum Geostatistics ; Conference date: 02-09-2019 Through 06-09-2019",

}

RIS

TY - GEN

T1 - Boolean spectral analysis in categorical reservoir modelling

AU - Ismagilov, N.

AU - Borovitskiy , V.

AU - Lifshits, M.

AU - Platonova, M.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The work introduces a new method for simulation of facies distribution for two categories based on Fourier analysis of Boolean functions. According this method, two categories of facies distributed along vertical wells are encoded as Boolean functions taking two values. The subsequent simulation process is divided into three consecutive steps. First, Boolean functions of well data are decomposed into a binary version of Fourier series. Then, decomposition coefficients are simulated over 2-dimensional area as stationary random fields. Finally, synthetic data in the interwell space is reconstructed as Fourier sum from simulated coefficients. The new method was implemented in an experimental software and tested on a case of real oil field.

AB - The work introduces a new method for simulation of facies distribution for two categories based on Fourier analysis of Boolean functions. According this method, two categories of facies distributed along vertical wells are encoded as Boolean functions taking two values. The subsequent simulation process is divided into three consecutive steps. First, Boolean functions of well data are decomposed into a binary version of Fourier series. Then, decomposition coefficients are simulated over 2-dimensional area as stationary random fields. Finally, synthetic data in the interwell space is reconstructed as Fourier sum from simulated coefficients. The new method was implemented in an experimental software and tested on a case of real oil field.

KW - Boolean functions

KW - Fourier analysis

KW - Gasoline

KW - Oil fields

KW - Software testing

KW - Spectrum analysis

UR - http://www.scopus.com/inward/record.url?scp=85073109575&partnerID=8YFLogxK

M3 - Conference contribution

BT - 4th EAGE Conference on Petroleum Geostatistics

PB - European Association of Geoscientists and Engineers

T2 - 4th EAGE Conference on Petroleum Geostatistics

Y2 - 2 September 2019 through 6 September 2019

ER -

ID: 49786106