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In the paper, the authors present the results of seismic reservoir characterization of shale gas deposits of the Lower Silurian and Ordovician (Sasino Formation and Jantar Formation), which are localized within the onshore part of the Baltic Basin, N Poland. For this purpose, acoustic inversion of seismic data and petrophysical analysis of well-log data were incorporated. The new approach that the authors used for acoustic inversion was the resolution enhancement algorithm, known as spectral blueing, before proceeding with the acoustic inversion process. The spectral blueing procedure enhances the seismic spectrum by weighting it with the well reflectivity spectrum. The resulting enhanced seismic volume manifests itself in higher energies of the high frequency component, while keeping the frequency range constant. With the results of acoustic inversion after the spectral blueing procedure, the authors were able to define two more potential exploration sites within the Ordovician deposits.
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Czasopismo
Rocznik
Tom
Strony
215--231
Opis fizyczny
Bibliogr. 22 poz., rys., wykr.
Twórcy
autor
- AGH University of Science and Technology in Krakow, Faculty of Geology, Geophysics and Environmental Protection, Department of Geophysics, al. Mickiewicza 30, 30-059, Kraków, Poland
autor
- AGH University of Science and Technology in Krakow, Faculty of Geology, Geophysics and Environmental Protection, Department of Geophysics, al. Mickiewicza 30, 30-059, Kraków, Poland
autor
- AGH University of Science and Technology in Krakow, Faculty of Geology, Geophysics and Environmental Protection, Department of Geophysics, al. Mickiewicza 30, 30-059, Kraków, Poland
autor
- AGH University of Science and Technology in Krakow, Faculty of Geology, Geophysics and Environmental Protection, Department of Geophysics, al. Mickiewicza 30, 30-059, Kraków, Poland
autor
- AGH University of Science and Technology in Krakow, Faculty of Geology, Geophysics and Environmental Protection, Department of Geophysics, al. Mickiewicza 30, 30-059, Kraków, Poland
Bibliografia
- 1. Cichostępski, K. & Kasperska, M., 2016. Geomechanical properties of shale gas reservoirs in Poland Baltic Basin using AVO analysis and inversion. In: 78th EAGE Conference & Exhibition, 30 May - 2 June 2016, Vienna, Austria: Extended Abstract. DOI: 10.3997/2214-4609.201601274.
- 2. Cichostępski, K., 2016. Amplitude Versus Offset Analysis as a Tool for Identification of Gas Reservoirs in Thin Beds of the Carpathian Foredeep. Unpublished PhD Thesis, AGH-UST University of Science and Technology in Kraków, 212 pp. [In Polish.]
- 3. Cichostępski, K., Dec, J. & Kwietniak, A., 2019. Relative amplitude preservation in high-resolution reflection seismic: a case study from Fore-Sudetic Monocline, Poland. Acta Geophysica, 67: 77-94.
- 4. Cichostępski, K., Kwietniak, A., Kasperska, M., Dec, J. & Pietsch, K., 2017. Próba identyfikacji sweet spotów na podstawie zintegrowanych badań geofizycznych. In: Golonka, J. & Bębenek, S. (eds), Opracowanie map zasięgu, biostratygrafia utworów dolnego paleozoiku oraz analiza ewolucji tektonicznej przy krawędziowej strefy platformy wschodnioeuropejskiej dla oceny rozmieszczenia niekonwencjonalnych złóż węglowodorów. Wydawnictwo Arka, Cieszyn, pp. 472-493. [In Polish.]
- 5. Goodway, B., Chen, T. & Downton, J., 1997. Improved AVO fluid detection and lithology discrimination using Lamé petrophysical parameters: “λp”, “цр”, & “λ/μ fluid stack” from P and S inversions. SEG Technical Program Expanded Abstracts, 1997: 183-186.
- 6. Goodway, B., Perez, M., Varsek, J. & Abaco, C., 2010. Seismic petrophysics and isotropic-anisotropic AVO methods for unconventional gas exploration. The Leading Edge, 29: 1500-1508.
- 7. Gray, D., Anderson, P, Logel, J., Delbecq, F., Schmidt, D. Schmid, R., 2012. Estimation of stress and geomechanical properties using 3D seismic data. First Break, 30: 59-68.
- 8. Hampson, D. & Galbraith, M., 1981. Wavelet extraction by sonic-log correlation. Canadian Journal of Exploration Geophysics, 17: 24-42.
- 9. Hampson, D. P, Russell, B. H. & Bankhead, B., 2005. Simultaneous Inversion of Pre-stack Seismic Data. SEG Technical Program Expanded Abstracts, 2005: 1633-1637.
- 10. Kasina, Z., 1998. Processing of Seismic Data. Wydawnictwo Centrum PPGSMiE PAN, Kraków, 333 pp. [In Polish].
- 11. Kiersnowski, H., 2013. Geological environment of gas-bearing shales. In: Nawrocki, J. (ed.), Shale Gas as Seen by Polish Geological Survey. Polish Geological Institute - National Research Institute, Warsaw, pp. 26-31.
- 12. Kwietniak, A., Cichostępski, K. & Pietsch, K., 2018. Resolution enhancement with relative amplitude preservation for unconventional targets. Interpretation, 6: SH59-SH71.
- 13. Latimer, R. B., Davison, R. & Van Riel, P., 2000. An interpreter guide to understanding and working with seismic derived acoustic impedance data. The Leading Edge, 19: 242-256.
- 14. Lindseth, R. O., 1979. Synthetic sonic logs - A process for stratigraphic interpretation. Geophysics, 44: 3-26.
- 15. Løseth, H., Wensaas, L., Gading, M. & Spronger, M., 2011. Can hydrocarbon source rock be identified on seismic data? Geology, 39: 1167-1170.
- 16. Pendrel, J., 2006. Seismic inversion - still the best tool for reservoir characterization. Canadian Society of Exploration Geophysics Recorder, 26: 5-12.
- 17. Poprawa, P., 2010. Shale gas potential of the Lower Palaeozoic complex in the Baltic and Lublin-Podlasie basins (Poland). Przegląd Geologiczny, 58: 226-249. [In Polish.]
- 18. Russell, B., 1988. Introduction to Seismic Inversion Methods. Course Notes Series, 2, Society of Exploration Geophysicists, 178 pp.
- 19. Veeken, P. C. H. & Da Silva, M., 2004. Seismic inversion methods and some of their constraints. First Break, 22: 47-70.
- 20. Walden, A. T. & Hosken, J. W. J., 1985. An investigation of the spectral properties of primary reflection coefficients. Geophysical Prospecting, 33: 400-435.
- 21. Widess, M. B., 1973. How thin is thin bed? Geophysics, 38: 1176-1180.
- 22. Zeng, H. & Marfurt, K. J., 2015. Recent progress in analysis of seismically thin beds. Interpretation, 3: SS15-SS22.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b295a7eb-7ad4-4150-b9e3-c7bceff0af10