1887

Abstract

Summary

The paper presents an example of estimating the contribution (“value”) of low- frequency energy of seismic data by assessing the accuracy of the reservoir properties quantitative forecast based on the results of inversion transformations. The basis was 3D seismic data, recorded by geophones-accelerometers at one of the fields in Eastern Siberia, and specially processed with conservation of low-frequency components. The consistent exception of borehole curves when building acoustic impedance low-frequency models allowed for a “blind prediction” based only on the difference in the initial seismic data. It is established that the porosity forecast for seismic data with a low frequency energy of 6–12 Hz is more accurate than seismic data without low-frequency energy up to 8.7%. The greatest difference is typical for areas of increased thickness of the Vendian deposits. Porosity cut-off in the Vendian deposits is 6%. The accuracy of the porosity prediction from seismic data is significantly dependent on the presence or absence of low-frequency energy, which as a result can lead to the appearance of non-existent reservoirs on forecast maps.

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/content/papers/10.3997/2214-4609.201800207
2018-04-09
2024-04-18
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References

  1. ВолковГ.В., АндроновА.И., СорокинА.С., ЛитвиченкоД.А.
    Результаты опробования высокопроизводительных методик сейсморазведки в условиях Восточной Сибири // Нефтяное хозяйство. 2014 №12. С. 33–37
    [Google Scholar]
  2. СорокинА.С., ПавловскийЮ.В, ХаритоновА.Е., РоманенкоМ.Ю., ГлебовА.А.
    Специальная обработка данных, зарегистрированных по технологии UniQ с целью повышения энергии низких частот // ООО «ГеоЕвразия ГеоСочи-2017», тезисы докладов, с.160
    [Google Scholar]
  3. MesdagP.R., SchakelM.D.
    Improving Seismic Reservoir Characterization With Broadband Seismic. Offshore Technology Conference, 04-07 May 2015, Houston, Texas, USA. OnePetro OTC-25668-MS.
    [Google Scholar]
  4. SchakelM.D., MesdagP.R.
    Fully data-driven quantitative reservoir characterization by broadband seismic. 2014 SEG Annual Meeting, 26-31 October 2014, Denver, Colorado, USA. OnePetro SEG-2014-0671.
    [Google Scholar]
  5. VolkovG.V., AndronovA.I., SorokinA.S., LitvichenkoD.A.
    Perform a pilot studying results for the testing of high-productivity techniques in Eastern Siberia // Oil industry. 2014 №12. P. 33–37
    [Google Scholar]
  6. SorokinA.S., PavlovskijYU.V, HaritonovA.E., RomanenkoM.YU., GlebovA.A.
    Special’naya obrabotka dannyh, zaregistrirovannyh po tekhnologii UniQ s cel’yu povysheniya ehnergii nizkih chastot // OOO «GeoEvraziya GeoSochi-2017», tezisy dokladov, s.160
    [Google Scholar]
  7. MesdagP.R., SchakelM.D.
    Improving Seismic Reservoir Characterization With Broadband Seismic. Offshore Technology Conference, 04-07 May 2015, Houston, Texas, USA. OnePetro OTC-25668-MS.
    [Google Scholar]
  8. SchakelM.D., MesdagP.R.
    Fully data-driven quantitative reservoir characterization by broadband seismic. 2014 SEG Annual Meeting, 26-31 October 2014, Denver, Colorado, USA. OnePetro SEG-2014-0671.
    [Google Scholar]
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