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An iterative inversion of Dual Induction Tool logs from thin-bedded Sandy-shaly formations of the Carpathian Foredeep using a modified simulated annealing method

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Języki publikacji
EN
Abstrakty
EN
In thin-bedded sandy–shaly Miocene formations of the Carpathian Foredeep, the main source of errors in gas saturation evaluation is the underestimation of resistivity of thin, hydrocarbon-bearing beds, which is the result of the low vertical resolution of induction logging tools. This problem is especially visible in older boreholes drilled in times where the Dual Induction Tool (DIT) was the primary induction tool used for determining the formation resistivity, and in shallowest depth intervals of newer boreholes where the DIT was used instead of newer array tools for cost-saving reasons. In this paper, we show how a global inversion algorithm was used to improve the vertical resolution of DIT logs. Our implementation of an iterative inversion utilizes a one-dimensional formation model, vertical response functions of the DIT, and a modified simulated annealing algorithm to determine the true vertical distribution of the formation resistivity. The algorithm was tested on resistivity logs recorded in a borehole drilled in the Carpathian Foredeep in Poland, where the DIT and the High-Resolution Array Induction (HRAI) tool were run in the same depth interval.
Czasopismo
Rocznik
Strony
1865--1873
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
  • Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Kraków, Poland
  • Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Kraków, Poland
Bibliografia
  • 1. Anderson BI (2001) Modeling and inversion methods for the interpretation of resistivity logging tool response. Ph.D. Dissertation. Delft University of Technology
  • 2. Beste R, Hagiwara T, King G, Strickland R, Merchant GA (2000) A new high resolution array induction tool. In: Proceedings of SPWLA 41st Annual Logging Symposium, 4–7 June, Dallas, Texas, SPWLA-2000-C
  • 3. Dobróka M, Szabó NP (2001) The inversion of well log data using Simulated Annealing method. Publs Univ Miskolc Geosci A Min 59:115–137
  • 4. Dobróka M, Szabó NP (2011) Interval inversion of well-logging data for objective determination of textural parameters. Acta Geophys 59(5):907–934
  • 5. Dobróka M, Szabó NP (2015) Well log analysis by global optimization-based interval inversion method. In: Cranganu C, Luchian H, Breaban ME (eds) Artificial intelligent approaches in petroleum Geosciences. Springer, Cham, pp 245–268
  • 6. Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671–680
  • 7. Lyle WD, Williams DM (1986) Deconvolution of well log data—an innovations approach. In: Proceedings of SPWLA 27th Annual Logging Symposium, 9–13 June, Houston, SPWLA-1986-O
  • 8. Metropolis N, Rosenbluth AW, Rosenbluth MN, Teller AH, Teller E (1953) Equation of state calculations by fast computing machines. J Chem Phys 21(6):1087–1092
  • 9. Passey QR, Dahlberg KE, Sullivan KB, Yin H, Brackett RA, Xiao YH, Guzmán-Garcia AG (2006) Petrophysical evaluation of hydrocarbon pore-thickness in thinly bedded clastic reservoirs. The American Association of Petroleum Geologists, Tulsa
  • 10. Runge KJ, Runge RJ (1991) Obtaining lumped (blocked) well logs by simulated annealing. Log Anal 32(04):371–377
  • 11. Sen MK, Stoffa PL (2013) Global optimization methods in geophysical inversion, 2nd edn. Cambridge University Press, New York
  • 12. Szucs P, Civan F (1996) Multi-layer well log interpretation using the simulated annealing method. J Pet Sci Eng 13(3–4):209–220
  • 13. van Laarhoven P, Aarts E (1987) Simulated annealing: theory and applications. D. Reidel Publishing Company, Dordrecht
  • 14. Weise T (2011) Global optimization algorithms—theory and application, 3rd edn. www.it-weise.de/projects/book.pdf. Accessed 8 Mai 2019
  • 15. Zorski T (1987) Analysis of deconvolution efficiency for some well logs. In: Proceedings of SPWLA 28th Annual Logging Symposium, 29 June–2 July, London, England, SPWLA-1987-WW
  • 16. Zorski T (2009) Recent improvements in interpretation methodology applied in GeoWin Satun application. AGH Geol 35(2/1):549–557
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-4152d535-a63e-4aef-a7af-d44167fd2e3e
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