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Seismic low-frequency-based calculation of reservoir fluid mobility and its applications

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Abstract

Low frequency content of seismic signals contains information related to the reservoir fluid mobility. Based on the asymptotic analysis theory of frequency-dependent reflectivity from a fluid-saturated poroelastic medium, we derive the computational implementation of reservoir fluid mobility and present the determination of optimal frequency in the implementation. We then calculate the reservoir fluid mobility using the optimal frequency instantaneous spectra at the low-frequency end of the seismic spectrum. The methodology is applied to synthetic seismic data from a permeable gas-bearing reservoir model and real land and marine seismic data. The results demonstrate that the fluid mobility shows excellent quality in imaging the gas reservoirs. It is feasible to detect the location and spatial distribution of gas reservoirs and reduce the non-uniqueness and uncertainty in fluid identification.

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References

  • Batzle, M. L., Han, D., and Hofmann, R., 2006, Fluid mobility and frequency-dependent seismic velocity — Direct measurements: Geophysics, 71(1), N1–N9.

    Google Scholar 

  • Castagna, J. P., Sun, S., and Siegfried, R. W., 2003, Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons: The Leading Edge, 22(2), 120–127.

    Article  Google Scholar 

  • Chen, X., He, Z., He, X., and Hunag, D., 2012, Numeric simulation of frequency-dependent seismic response and hydrocarbon detection, a turbidite reservoir in JZ Area, the Bohai Sea, China: AAPG 2012 Annual Convention and Exhibition, Long Beach, California, USA.

  • Chen, X. H., He, Z. H., Huang, D. J., and Wen, X. T., 2009, Low frequency shadow detection of gas reservoirs in time-frequency domain: Chinese Journal of Geophysics, 52(1), 215–221.

    Google Scholar 

  • Chen, X. H., He, Z. H., and Zhong, W. L., 2011, Numeric simulation in the relationship between low frequency shadow and reservoir characteristic: Journal of China University of Mining & Technology, 40(4), 584–591.

    Google Scholar 

  • Ebrom, D., 2004, The low-frequency gas shadow on seismic sections: The Leading Edge, 23(8), 772.

    Article  Google Scholar 

  • Goloshubin, G. M., Connie, V. A., Korneev, V. A., Silin, D., and Vingaov, V., 2006, Reservoir imaging using low frequencies of seismic reflections: The Leading Edge, 25(5), 527–531.

    Article  Google Scholar 

  • Goloshubin, G. M., Korneev, V. A., and Vingalov, V. M., 2002, Seismic low-frequency effects from oil-saturated reservoir zones: 72th Ann. Internat. Mtg., Soc. Explor. Geophys., Expanded Abstracts, 1813–1816.

  • Goloshubin, G. M., Silin, D., and Vingalov, V., 2008, Reservoir permeability from seismic attribute analysis: The Leading Edge, 27(3), 376–381.

    Article  Google Scholar 

  • He, Z. H., Xiong, X. J., and Bian, L. E., 2008, Numerical simulation of seismic low-frequency shadows and its application: Applied Geophysics, 5(4), 301–306.

    Article  Google Scholar 

  • Hilterman, F. J., Patzek, T. W., Goloshubin, G., Silin, D., Sullivan, C., and Korneev, V., 2007, Advanced reservoir imaging using frequency-dependent seismic attributes: http://petroleum.berkeley.edu/patzek/index.htm.

  • Korneev, V. A., Goloshubin, G. M., Daley, T. M., and Silin, D. B., 2004, Seismic low frequency effects in monitoring fluid-saturated reservoirs: Geophysics, 69(2), 522–532.

    Google Scholar 

  • Korneev, V. A., Silin, D., Goloshubin, G. M., and Vingalov, V., 2005, Seismic imaging of oil production rate: 75th Ann. Internat. Mtg., Soc. Explor. Geophys., Expanded Abstracts, 1–4.

  • Lichman, E., and Goloshubin, G. M., 2003, Unified approach to gas and fluid detection on instantaneous seismic wavelets: 73th Ann. Internat. Mtg., Soc. Explor. Geophys., Expanded Abstracts, 1699–1702.

  • Lichman, E., Peters, S. W., and Squyres, D. H., 2004a, Wavelet energy absorption-2: Here are velocity aspects of wavelet energy absorption: Oil & Gas Journal, 102(3), 36–44.

    Google Scholar 

  • Lichman, E., Peters, S. W., and Squyres, D. H., 2004b, Four examples show functions of wavelet energy absorption: Oil & Gas Journal, 102(4), 48–52.

    Google Scholar 

  • Liu, Y., 2004, Seismic “low frequency shadows” for gas sand reflection: 74th Ann. Internat. Mtg., Soc. Explor. Geophys., Expanded Abstracts, 1563–1566.

  • Quintal, B., Schmalholz, S. M., Podladchikov, Y. Y., and Carcione, J. M., 2007, Seismic low-frequency anomalies in multiple reflections from thinly-layered poroelastic reservoirs: 77th Ann. Internat. Mtg., Soc. Explor. Geophys., Expanded Abst6racts, 1690–1695.

  • Silin, D., and Goloshubin, G. M., 2008, Seismic wave reflection from a permeable layer: Low-frequency asymptotic analysis: ASME 2008 International Mechanical Engineering Congress and Exposition, 47–56, Boston, Massachusetts, USA.

  • Silin, D., and Goloshubin, G. M., 2009, A low-frequency asymptotic model of seismic reflection from a highpermeability layer: Lawrence Berkeley National Laboratory Report, Berkeley, California, USA.

  • Silin, D., and Goloshubin, G. M., 2010, An asymptotic model of seismic reflection from a permeable layer: Transport in Porous Media, 83(1), 233–256.

    Article  Google Scholar 

  • Silin, D. B., Korneev, V. A., Goloshubin, G. M., and Patzek, T. W., 2004, A hydrologic view on Biot’s theory of poroelasticity: Lawrence Berkeley National Laboratory Report, Berkeley, California, USA.

  • Sun, S., Castagna, J. P., and Siegfried, R. W., 2002, Examples of enhanced spectral processing in direct hydrocarbon detection: 72nd AAPG Annual Meeting, Houston, Texas, 10–13.

  • Tai, S., Puryear, C., and Castagna, J. P., 2009, Local frequency as a direct hydrocarbon indicator: 79th Ann. Internat. Mtg., Soc. Explor. Geophys., Expanded Abstracts, 2160–2164.

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Authors and Affiliations

  1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, 610059, China

    Xue-Hua Chen & Zhen-Hua He

  2. Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu, 610059, China

    Xue-Hua Chen, Zhen-Hua He & Wei Liu

  3. North China University of Water Resources and Electric Power, Zhengzhou, 450011, China

    Si-Xin Zhu

  4. College of Earth Sciences, Chengdu University of Technology, Chengdu, 610059, China

    Wen-Li Zhong

Authors
  1. Xue-Hua Chen
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  2. Zhen-Hua He
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  3. Si-Xin Zhu
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  4. Wei Liu
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  5. Wen-Li Zhong
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Corresponding author

Correspondence to Xue-Hua Chen.

Additional information

This work was supported by the National Natural Science Foundation of China (No. 41004054), the National Science and Technology Major Project of the Ministry of Science and Technology of China (No. 2011ZX05023-005-010), the Research Fund for the Doctoral Program of Higher Education of China (No. 20105122120002).

Chen Xue-Hua: See biography and photo in the Applied Geophysics March 2012 issue, P. 72

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Chen, XH., He, ZH., Zhu, SX. et al. Seismic low-frequency-based calculation of reservoir fluid mobility and its applications. Appl. Geophys. 9, 326–332 (2012). https://doi.org/10.1007/s11770-012-0340-6

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  • DOI: https://doi.org/10.1007/s11770-012-0340-6

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