Резюме:

Development of oil and gas field with carbonate reservoirs is quite challenging due to its high heterogeneity (diagenesis, fractures, wetting etc.). There is no universal rock-typing methodology in order to define homogeneous groups of rocks in petrophysics, geology and diagenesis. This work proposed integrated approach of rock-typing by using clustering algorithms. Based on the data of one of the carbonate reservoir 3 rock types were defined. For further development it is better to try different clustering algorithms and use data from several wells simultaneously.

Ключевые слова: machine learning;, rock-typing, Carbonate reservoir

Churochkin I.I. ¹ Integrated rock-typing approach considering petrophysics, geology and diagenesis // Journal of Economics and Social Sciences. – 2021. – № 17;
URL: jess.esrae.ru/68-377 (дата обращения: 06.05.2024).

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