QUALITY CRITERIA FOR AUTOMATIC CORRELATION OF WELL SECTIONS BASED ON LOGGING DATA
https://doi.org/10.18303/2619-1563-2019-2-12
Abstract
A criterion is proposed for a formal assessment of the quality of automatically generated correlation schemes, their ranking and finding the best construction parameters based on leave-one-out cross-validation. The best correlation solution is considered to be one that provides a smaller error in predicting the spatial distribution of petrophysical properties in the sedimentary sequence. The applicability of the criterion was tested on the example of Vendian-Cambrian sections of the Chayandinskoye oil-gas and condensate field in Eastern Siberia.
About the Authors
V. V. Lapkovsky
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Russian Federation
Koptyug Ave., 3, Novosibirsk, 630090
Russian Federation
Koptyug Ave., 3, Novosibirsk, 630090
S. A. Moiseev
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Russian Federation
Koptyug Ave., 3, Novosibirsk, 630090
Russian Federation
Koptyug Ave., 3, Novosibirsk, 630090
B. V. Lunev
Trofimuk Institute of Petroleum Geology and Geophysics SB RAS
Russian Federation
Koptyug Ave., 3, Novosibirsk, 630090
Russian Federation
Koptyug Ave., 3, Novosibirsk, 630090
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Review
For citations:
Lapkovsky V.V., Moiseev S.A., Lunev B.V. QUALITY CRITERIA FOR AUTOMATIC CORRELATION OF WELL SECTIONS BASED ON LOGGING DATA. Russian Journal of Geophysical Technologies. 2019;(2):12-22. (In Russ.) https://doi.org/10.18303/2619-1563-2019-2-12
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