TY - JOUR

T1 - Spectral curves clustering

T2 - Society of Exploration Geophysicists International Exhibition and 90th Annual Meeting, SEG 2020

AU - Murtazin, Damir

AU - Butorin, Alexander

N1 - Publisher Copyright: © 2020 Society of Exploration Geophysicists.

PY - 2020

Y1 - 2020

N2 - In the last two decades, spectral decomposition as a dynamic analysis method for seismic and prediction of effective thicknesses has been firmly established in the geological ex-ploration workflow. The reason for this is high efficiency in forecasting in conditions of high lateral and vertical variabil-ity of reservoir properties. However, the existing methods for interpreting the results of spectral decomposition have disadvantages. In our study, we tried to solve these disad-vantages and created a new technique for interpreting spec-tral decomposition, which was called "clustering of spectral curves".

AB - In the last two decades, spectral decomposition as a dynamic analysis method for seismic and prediction of effective thicknesses has been firmly established in the geological ex-ploration workflow. The reason for this is high efficiency in forecasting in conditions of high lateral and vertical variabil-ity of reservoir properties. However, the existing methods for interpreting the results of spectral decomposition have disadvantages. In our study, we tried to solve these disad-vantages and created a new technique for interpreting spec-tral decomposition, which was called "clustering of spectral curves".

KW - 3D

KW - Decomposition

KW - Effective

KW - Formation evaluation

KW - Spectral analysis

UR - http://www.scopus.com/inward/record.url?scp=85119077869&partnerID=8YFLogxK

U2 - 10.1190/segam2020-3423067.1

DO - 10.1190/segam2020-3423067.1

M3 - Conference article

AN - SCOPUS:85119077869

VL - 2020-October

SP - 1014

EP - 1018

JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

SN - 1052-3812

Y2 - 11 October 2020 through 16 October 2020

ER -