Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/64399
Title: Integrated rock-typing approach considering petrophysics, geology and diagenesis
Authors: Churochkin, Iljya Igorevich
Keywords: carbonates; rock typing; machine learning
Issue Date: 2021
Publisher: Tomsk Polytechnic University
Citation: Churochkin I. I. Integrated rock-typing approach considering petrophysics, geology and diagenesis / I. I. Churochkin // Journal of Economics and Social Sciences. — 2021. — № 17. — [4 p.].
Abstract: Development of oil and gas field with carbonate reservoirs is quite challenging due to its high heterogeneity (diagenesis, fractures, wetting, leaching, recrystallization etc.). There is no universal rock-typing methodology in order to define groups of rocks in petrophysics, geology and diagenesis. This work proposed integrated approach of rock-typing by using clustering algorithms. At the first stage three homogeneous groups were defined by using well logs. Then the groups were confirmed by lithological description of the core data and capillary pressure curves. For further development, it is better to try different clustering algorithms and use data from several wells simultaneously. This will help to construct geological model.
URI: http://earchive.tpu.ru/handle/11683/64399
ISSN: 2312-2978
Appears in Collections:Journal of Economics and Social Sciences

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