Identification of volcanic lithofacies using box-counting method calculating fractal dimension of logging data

• Autorzy: Mou Dan , Wang Zhuwen , Tan Xili , Shi Shaoyun

Identyfikatory

DOI

10.1007/s11600-022-00840-5

• Języki publikacji: EN

Abstrakty

EN

Identification of volcanic lithofacies is critical for reservoir exploration and a major difficulty in China's Liaohe oil field. In this paper, we present a fractal analysis method for identifying volcanic facies by estimating the fractal dimension of logging data. The fractal properties of lithofacies logging curves are explored, as well as the categorization scheme of volcanic lithofacies in the eastern sag of the Liaohe basin. Five logging curves impacted by volcanic lithofacies from four wells in the Liaohe basin's eastern depression were chosen. The Box-counting dimension is used to develop a logging lithofacies identification criterion. Furthermore, we calculated the fractal dimension of logging curves using box-counting dimension methods.

Słowa kluczowe

EN

volcanic rock; lithofacies; fractal dimension; well logging

PL

skała wulkaniczna; litofacje; wymiar fraktalny; geofizyka otworowa

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2022
• Tom: Vol. 70, no 6
• Strony: 2647--2658
• Opis fizyczny: Bibliogr. 17 poz.

Twórcy

autor

Mou Dan

• School of Mathematics and Statistics, Beihua University, Jilin 132013, People’s Republic of China
• School of Mathematics, Jilin University, Changchun 130012, People’s Republic of China

autor

Wang Zhuwen

• College of Geo-Exploration Science and Technology, Jilin University, No. 938, Ximinzhu Street, Changchun 130026, People’s Republic of China

• https://orcid.org/0000-0002-8757-7392

autor

Tan Xili

• School of Mathematics and Statistics, Beihua University, Jilin 132013, People’s Republic of China

autor

Shi Shaoyun

• School of Mathematics & State Key Laboratory of Automotive, Simulation and Control, Jilin University, Changchun 130012, People’s Republic of China

Bibliografia

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• 4. Guo ZH, Wang PJ, Yin CH (2006) Relationship between lithofacies and logging facies of the volcanic reservoir rocks in songliao basin. J Jilin Univ (Earth Sci Edition). 02:207–214
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• 7. Karátson D, Németh K (2015) Lithofacies associations of an emerging volcaniclastic apron in a miocene volcanic complex: an example from the börzsöny mountains, hungary. Int J Earth Sci 90(4):776–794. https://doi.org/10.1007/s005310100193+
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• 14. Pentland AP (1984) Fractal-based description of natural scenes. IEEE Trans On PAMI 6(6):661–674
• 15. Qin H (2016) Mechanism and method of logging identification of volcanic facies-by taking the deep volcanic rocks of xujiaweizi fault depression for example. Journal of Yangtze University (Natural Science Edition).https://doi.org/10.16772/j.cnki.1673-1409.2016.11.002
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• 17. Yang X, Li HJ (2017) Mechanism and method of the volcanic lithofacies identification in xujiaweizi area. Well Logging Technol. 41(6):658–664

Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).