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Geomechanical modelling of Paleozoic Shale Gas Formation: a case study from the Baltic Basin, northern Poland

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents the importance and position of geomechanical modelling workflow in reservoir characterization studies dedicated to unconventional shale reservoirs. We show the results of 3D geomechanical modelling carried out in an onshore area within the Baltic Basin, northern Poland, where the Silurian and Ordovician shale formations are the exploration targets. The fundamental elements of the methodology, processes, and available datasets used in the modelling are discussed. The petrophysical, elastic, and mechanic properties of the rock were applied in the modelling process, along with the principal stresses and pore pressure in the geological formation. Moreover, the main calculation methods and data requirements for the Mechanical Earth Model construction are discussed. A comprehensive 3D geomechanical model was constructed, providing important information to engineers and decision makers which allows them to optimize well placement, the direction of the horizontal section of the borehole and the parameters of hydraulic fracturing treatment. The model can identify zones of higher potential within the area of interest in terms of efficient stimulation treatment design.
Wydawca
Rocznik
Strony
249--269
Opis fizyczny
Bibliogr. 37 poz., rys., wykr., tab.
Twórcy
  • INiG-PIB Oil and Gas Institute – National Reasearch Institute, Department of Geology and Geochemistry; ul. Lubicz 25A, 31-503 Krakow, Poland, slota@inig.pl
  • INiG-PIB Oil and Gas Institute – National Reasearch Institute, Department of Geology and Geochemistry; ul. Lubicz 25A, 31-503 Krakow, Poland, sowizdzal@ inig.pl
  • INiG-BIP Oil and Gas Institute – National Reasearch Institute, Department of Seismics; ul. Lubicz 25A, 31-503 Krakow, Poland, tyczkowska@ inig.pl
Bibliografia
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  • Geological characteristics of the basin, 2012. [in:] Assessment of Shale Gas and Shale Oil resources of the Lower Paleozoic Baltic-Podlasie-Lublin Basin in Poland. First Report, Polish Geological Institute – National Research Institute, Warsaw, 9–15, [on-line:] http://www.pgi.gov.pl/en/ docman-dokumenty-pig-pib/docman/aktualnosci-2012/ zasoby-gazu/769-raport-en/file.html [access: 21.05.2017].
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  • Bruyelle J. & Guérillot D.R., 2014. An accurate volumetric calculation method for estimating original hydrocarbons in place for oil and gas shales including adsorbed gas using high-resolution geological model. [in:] International Petroleum Technology Conference 2014 (IPTC 2014): Unlocking Energy Through Innovation, Technology and Capability, Doha, Qatar, 19–22 January 2014, Society of Petroleum Engineers, 1–12.
  • Butel N., Hossack A. & Kizi M., 2014. Prediction of in situ rock strength using sonic velocity. [in:] Aziz N., Kininmonth B., Nemcik J., Black D., Hoelle J. & Cunbulat I., Proceedings of the 2014 Coal Operators’ Conference. Coal 2014: Australian Coal Operators’ Conference 2014, Wollongong, New South Wales, Australia, 12–14 February, 2014, 89–102.
  • Chang C., Zoback M.D. & Khaksar A., 2006. Empirical relations between rock strength and physical properties in sedimentary rocks. Journal of Petroleum Science, 51, 3, 223–237.
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  • Jędrzejowska-Tyczkowska H. & Słota-Valim M., 2012. Mechaniczny model Ziemi jako nowy i konieczny warunek sukcesu w poszukiwaniach i eksploatacji niekonwencjonalnych złóż węglowodorów. Nafta-Gaz, 68, 6, 329–340.
  • King G.E., 2012. Hydraulic Fracturing 101: What every Representative, Environmentalist, Regulator, Reporter, Investor, University Researcher, Neighbor and Engineer Should Know About Estimating Frack Risk and Improving Frack Performance in Unconventional Gas and Oil Wells. [in:] SPE Hydraulic Fracturing Technology Conference, 6-8 February, The Woodlands, Texas, USA, SPE- 152596-MS, Society of Petroleum Engineers.
  • Kowalska-Włodarczyk M. & Darłak B., 2011. Modele stochastyczne wybranych parametrów jako wsparcie konstruowania modeli geologicznych przy użyciu ANN i Fuzzy Logic. Nafta-Gaz, 67, 1, 7–13.
  • Kwaśniewski M. & Rodriguez-Oitaben, P., 2012. Study on the dilatancy angle of rocks in the pre-failure domain. [in:] Qian Q. & Zhou Y. (eds.), Harmonizing Rock Engineering and the Environment, Taylor and Francis Group, London, 681–686.
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  • Plumb R., Edwards S., Pidcock G., Lee D. & Stacey B., 2000. The Mechanical Earth Model Concept and Its Application to High-Risk Well Construction Projects. [in:] IADC/SPE Drilling Conference, 23–25 February, New Orleans, Louisiana, SPE-59128-MS, Society of Petroleum Engineers. DOI: 10.2118/59128-MS.
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  • Slatt R.M., 2011. Important geological properties of unconventional resource shales. Central European Journal of Geosciences, 3, 4, 435–448.
  • Słota-Valim M., 2015. Static and dynamic elastic properties, the cause of the difference and conversion methods – case study. Nafta-Gaz, 11, 816–826.
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  • Vecoli M. & Samuelsson J., 2001. Quantitative evaluation of microplankton paleobiogeography in the Ordovician- Early Silurian of the northern Trans European Suture Zone: implications for the timing of the Avalonia-Baltica collision. Review of Paleobotany and Palynology, 115, 1–2, 43–68.
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Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-50661fbf-0f3e-46c2-b3e3-bab0d2306522
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