Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband Impedance

Based on the physical quantity of log data, the accurate identification of oil- and gas-bearing properties may be caused by the prestack inversion of fluid prediction, which will affect the success rate of exploration and development. Prestack data contain more information of amplitude and frequency...

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Main Authors: Ruyi Zhang, Huazhong Wang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Geofluids
Online Access:http://dx.doi.org/10.1155/2021/8989769
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author Ruyi Zhang
Huazhong Wang
author_facet Ruyi Zhang
Huazhong Wang
author_sort Ruyi Zhang
collection DOAJ
description Based on the physical quantity of log data, the accurate identification of oil- and gas-bearing properties may be caused by the prestack inversion of fluid prediction, which will affect the success rate of exploration and development. Prestack data contain more information of amplitude and frequency. Using the frequency-dependent viscoelastic impedance equation and Bayesian inversion framework, the objective function of frequency-dependent elastic impedance inversion can be established to realize the frequency-dependent impedance inversion at different angles. According to the elastic impedance equation of the frequency-varying viscoelastic fluid factor, the relationship between elastic impedance and the frequency-dependent viscoelastic fluid factor is established, and the prestack seismic inversion method of the frequency-dependent viscoelastic fluid factor is studied. However, one of the important factors easily neglected is that we have been using logging data to establish fluid-sensitive parameters and the lithophysical version for fluid identification, so there are differences between logging and seismic frequency bands for fluid identification. The indicator factors with higher sensitivity to fluid can be selected by laboratory measurements. This article applies this method on Luojia oilfield data and verifies this method with log interpretation results, based on the sample of rock physics obtained in a low-frequency rock physics experiment; the technique of dispersion and fluid-sensitive parameters is studied, and the fluid prediction technology of a multifrequency band rock physics template is adopted, which can build the relationship between rock physical elastic parameters and fluid properties by the multifrequency broadband impedance method.
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spelling doaj-art-b0937c46f3364def9f56240b2edf78e12025-02-03T01:24:42ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/89897698989769Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband ImpedanceRuyi Zhang0Huazhong Wang1Wave Phenomena and Intelligent Inversion Imaging Group (WPI), School of Ocean and Earth Science, Tongji University, Shanghai 200092, ChinaWave Phenomena and Intelligent Inversion Imaging Group (WPI), School of Ocean and Earth Science, Tongji University, Shanghai 200092, ChinaBased on the physical quantity of log data, the accurate identification of oil- and gas-bearing properties may be caused by the prestack inversion of fluid prediction, which will affect the success rate of exploration and development. Prestack data contain more information of amplitude and frequency. Using the frequency-dependent viscoelastic impedance equation and Bayesian inversion framework, the objective function of frequency-dependent elastic impedance inversion can be established to realize the frequency-dependent impedance inversion at different angles. According to the elastic impedance equation of the frequency-varying viscoelastic fluid factor, the relationship between elastic impedance and the frequency-dependent viscoelastic fluid factor is established, and the prestack seismic inversion method of the frequency-dependent viscoelastic fluid factor is studied. However, one of the important factors easily neglected is that we have been using logging data to establish fluid-sensitive parameters and the lithophysical version for fluid identification, so there are differences between logging and seismic frequency bands for fluid identification. The indicator factors with higher sensitivity to fluid can be selected by laboratory measurements. This article applies this method on Luojia oilfield data and verifies this method with log interpretation results, based on the sample of rock physics obtained in a low-frequency rock physics experiment; the technique of dispersion and fluid-sensitive parameters is studied, and the fluid prediction technology of a multifrequency band rock physics template is adopted, which can build the relationship between rock physical elastic parameters and fluid properties by the multifrequency broadband impedance method.http://dx.doi.org/10.1155/2021/8989769
spellingShingle Ruyi Zhang
Huazhong Wang
Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband Impedance
Geofluids
title Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband Impedance
title_full Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband Impedance
title_fullStr Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband Impedance
title_full_unstemmed Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband Impedance
title_short Viscoelastic Fluid Factor Inversion and Application in Luojia Oilfield Based on Broadband Impedance
title_sort viscoelastic fluid factor inversion and application in luojia oilfield based on broadband impedance
url http://dx.doi.org/10.1155/2021/8989769
work_keys_str_mv AT ruyizhang viscoelasticfluidfactorinversionandapplicationinluojiaoilfieldbasedonbroadbandimpedance
AT huazhongwang viscoelasticfluidfactorinversionandapplicationinluojiaoilfieldbasedonbroadbandimpedance