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Quantitative pore‐type characterization from well logs based on the seismic petrophysics in a carbonate reservoir.

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Title: Quantitative pore‐type characterization from well logs based on the seismic petrophysics in a carbonate reservoir.
Authors: Mirkamali, Maryam Sadat1 (AUTHOR), Javaherian, Abdolrahim1,2 (AUTHOR) javaheri@ut.ac.ir, Hassani, Hossein3 (AUTHOR), Saberi, Mohammad Reza4 (AUTHOR), Hosseini, Seyed Abolfazl5 (AUTHOR)
Source: Geophysical Prospecting. Sep2020, Vol. 68 Issue 7, p2195-2216. 22p. 4 Color Photographs, 3 Diagrams, 11 Graphs.
Subjects: Carbonate reservoirs, Petroleum reservoirs, Data logging, Physics
Geographic Terms: Iran
Abstract: Quality, availability and consistency of the measured and interpreted well log data are essential in the seismic reservoir characterization methods, and seismic petrophysics is the recommended workflow to achieve data consistency between logs and seismic domains. This paper uses seismic petrophysics workflow to improve well logs and pore geometry interpretations for an oil carbonate reservoir in the Fahliyan Formation in the southwest of Iran. The petrophysical interpreted well logs, rock physics and well‐to‐seismic tie analysis are integrated into the proposed workflow. Our implementation incorporates revising petrophysical well log interpretations and updating pore geometry characteristics to obtain a better well‐tie quality. We first propose an improved pore‐type characterization approach based on both P‐ and S‐wave velocities for quantifying pore geometry. Then, seismic logs are estimated accordingly, and the results are used in the well‐to‐seismic analysis. The quality of the well‐tie is improved, furthermore, by iterating on the petrophysical interpreted well logs as well as the calculated pore geometries. For the intervals with high‐quality data, our workflow improves the consistency between the results of measured and modelled seismic logs. For the intervals with problematic well logs, the application of our proposed workflow results in the successful replacement of the poor data and subsequently leads to an improved wavelet estimation and well‐tie results. In both cases, a higher quantification of pore geometries is achieved, which in turn is confirmed by the core images and formation micro‐imager analysis. [ABSTRACT FROM AUTHOR]
Copyright of Geophysical Prospecting is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 145008874
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Quantitative pore‐type characterization from well logs based on the seismic petrophysics in a carbonate reservoir.
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  Data: <searchLink fieldCode="AR" term="%22Mirkamali%2C+Maryam+Sadat%22">Mirkamali, Maryam Sadat</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Javaherian%2C+Abdolrahim%22">Javaherian, Abdolrahim</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> javaheri@ut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Hassani%2C+Hossein%22">Hassani, Hossein</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saberi%2C+Mohammad+Reza%22">Saberi, Mohammad Reza</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hosseini%2C+Seyed+Abolfazl%22">Hosseini, Seyed Abolfazl</searchLink><relatesTo>5</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Geophysical+Prospecting%22">Geophysical Prospecting</searchLink>. Sep2020, Vol. 68 Issue 7, p2195-2216. 22p. 4 Color Photographs, 3 Diagrams, 11 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Carbonate+reservoirs%22">Carbonate reservoirs</searchLink><br /><searchLink fieldCode="DE" term="%22Petroleum+reservoirs%22">Petroleum reservoirs</searchLink><br /><searchLink fieldCode="DE" term="%22Data+logging%22">Data logging</searchLink><br /><searchLink fieldCode="DE" term="%22Physics%22">Physics</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Iran%22">Iran</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Quality, availability and consistency of the measured and interpreted well log data are essential in the seismic reservoir characterization methods, and seismic petrophysics is the recommended workflow to achieve data consistency between logs and seismic domains. This paper uses seismic petrophysics workflow to improve well logs and pore geometry interpretations for an oil carbonate reservoir in the Fahliyan Formation in the southwest of Iran. The petrophysical interpreted well logs, rock physics and well‐to‐seismic tie analysis are integrated into the proposed workflow. Our implementation incorporates revising petrophysical well log interpretations and updating pore geometry characteristics to obtain a better well‐tie quality. We first propose an improved pore‐type characterization approach based on both P‐ and S‐wave velocities for quantifying pore geometry. Then, seismic logs are estimated accordingly, and the results are used in the well‐to‐seismic analysis. The quality of the well‐tie is improved, furthermore, by iterating on the petrophysical interpreted well logs as well as the calculated pore geometries. For the intervals with high‐quality data, our workflow improves the consistency between the results of measured and modelled seismic logs. For the intervals with problematic well logs, the application of our proposed workflow results in the successful replacement of the poor data and subsequently leads to an improved wavelet estimation and well‐tie results. In both cases, a higher quantification of pore geometries is achieved, which in turn is confirmed by the core images and formation micro‐imager analysis. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Geophysical Prospecting is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/1365-2478.12989
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 2195
    Subjects:
      – SubjectFull: Carbonate reservoirs
        Type: general
      – SubjectFull: Petroleum reservoirs
        Type: general
      – SubjectFull: Data logging
        Type: general
      – SubjectFull: Physics
        Type: general
      – SubjectFull: Iran
        Type: general
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      – TitleFull: Quantitative pore‐type characterization from well logs based on the seismic petrophysics in a carbonate reservoir.
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            NameFull: Mirkamali, Maryam Sadat
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            NameFull: Javaherian, Abdolrahim
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            NameFull: Hassani, Hossein
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            NameFull: Saberi, Mohammad Reza
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            NameFull: Hosseini, Seyed Abolfazl
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            – D: 01
              M: 09
              Text: Sep2020
              Type: published
              Y: 2020
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              Value: 68
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            – TitleFull: Geophysical Prospecting
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