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Well logging interpretation methodology for carbonate formation fracture system properties determination

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents the methodology for the qualitative determination of fracture zones in the profiles of carbonate formations, based on the complex fracture analysis (CFA) method. Three additive fracture ranges were distinguished, characterized by successively increasing aperture and fracture length values, operatively named micro, meso and macro. Furthermore, the quantitative characterization of fractures with different apertures was done. The methodology of laboratory data integration, fracture porosity and fracture permeability measurements performed on thin section and polished section was described as part of the quantitative well logging data interpretation procedure which uses the FPI (fracture porosity index) parameter. The research was performed in the Lower Carboniferous limestone formation that builds the Paleozoic basement of the Carpathian orogeny. An original software dedicated to the analysis of the wellbore images, obtained with the XRMI Halliburton scanner, was used to identify the presence of macro-fractures, determine their aperture and estimate fractures porosity and permeability in the profile of the analyzed rock formation. As a result of the work, postulates regarding the methodology for collecting research material were formulated, in particular: the scope of different laboratory core samples measurements and well log types. The principles of the optimal methodology for identifying fractured zones and quantitative evaluation of petrophysical parameters of recognized fracture systems were defined.
Czasopismo
Rocznik
Strony
1933--1943
Opis fizyczny
Bibliogr. 17 poz.
Twórcy
  • Oil and Gas Institute-National Research Institute, Lubicz 25 A, 31‑503 Kraków, Poland
Bibliografia
  • 1. Aguilera R (1976) Analysis of naturally fractured reservoirs from conventional well logs. JPT 6:764–771
  • 2. Archie GE (1952) Classification of carbonate reservoir rocks and petrophysical considerations. AAPG Bull 6(2):278–298
  • 3. Brie A, Johnson DL, Nurmi RD (1985) Effect of spherical pores on sonic and resistivity measurements. Paper W presented at the SPWLA 26th Annual Logging Symposium. Crain's Petrophysical Handbook https://www.spec2000.net/12-phifrac.htm
  • 4. Dunham RJ (1962) Classification of carbonate rocks according to depositional texture. Mem Am Assoc Pet Geol 1:108–121
  • 5. Dutta DJ, Madhavan S, Sundaram KM (1991) Characterization of dual porosity system in carbonates using sonic and resistivity measurements. Paper C presented at the SPWLA 40th Annual Logging Symposium
  • 6. Kazatchenko E, Markov M, Mousatov A (2003) Determination of primary and secondary porosity in carbonate formations using acoustic data, paper SPE 84209
  • 7. Kazatchenko E, Mousatov A (2002) Estimation of secondary porosity for carbonate formation using core data, total porosity and formation factor, paper SPE 77787
  • 8. Leśniak G, Darłak B (1995) Laboratory investigation of petrophysical properties of fractured and vugged rocks. In: Modern exploration and improved oil and gas recovery methods, Cracow AGH 1995 conference proceedings, pp 203–204
  • 9. Lucia FJ (1999) Carbonate reservoir characterization. Springer, New York, p 226
  • 10. Luthi SM, Souhaite P (1990) Fracture apertures from electrical borehole scans. Geophysics 55:821–833
  • 11. Narkiewicz M (2001) Lithostratygraphy, depositional, environments and diagnosis of the Devonian and carboniferous carbonates in the Rajbrot-Tarnawa area (Sub-Carpathian Arch), Scientific Works National Geologic Institute No CLXXIV, pp 9–33 (with English abstract)
  • 12. Paduszyński J (1965) Estimation of micro-fractures density by random traverse method. Nafta 1:2–3 (in Polish)
  • 13. Puskarczyk E, Krakowska P, Jędrychowski M, Habrat M, Madejski P (2018) A novel approach to the quantitative interpretation of petrophysical parameters using nano-CT: example of paleozoic carbonates. Acta Geophys 66(6):1453–1461. https://doi.org/10.1007/s11600-018-0219-x
  • 14. Sowiżdżal K, Stadtműller M (2010) Methodology of 3D fracture reservoir modeling. In: GEOPETROL 2010 conference proceedings, pp 105–111 (in Polish)
  • 15. Stadtműller M, Kowalik J (2012) Possibilities of fracture aperture evaluation based on well logs—methodical aspects. In: GEOPETROL 2012 conference proceedings, pp 355–358 (in Polish)
  • 16. Urbaniec A (1998) Final report of the exploration well T-1 No. SW/K/801 Archives PGNiG S.A
  • 17. Zhang J, Nie X, Xiao S et al (2018) Generating porosity spectrum of carbonate reservoirs using ultrasonic imaging log. Acta Geophys 66(2):191–201. https://doi.org/10.1007/s11600-018-0134-1
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4042b32b-3d3a-4247-875c-c8c1aa2c0fb7
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