New possibilities of applying structural interpretation of density image for geonavigation of wells
- Autores: Kazantsev G.V.1, Grishkevich V.F.1
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Afiliações:
- Industrial University of Tyumen
- Edição: Nº 2 (2025)
- Páginas: 26-38
- Seção: GEOLOGY, PROSPECTING AND EXPLORATION OF OIL AND GAS FIELDS
- URL: https://journal-vniispk.ru/0445-0108/article/view/336609
- DOI: https://doi.org/10.31660/0445-0108-2025-2-26-38
- ID: 336609
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Resumo
Currently, tools such as density imagers are not fully utilized in geonavigation of wells. The authors of this paper propose that the angles and directions of layering obtained through the structural interpretation of density imager data in horizontal wells can be utilized to identify the boundaries and orientations of sand bodies. The aim of this study is to demonstrate new applica-tions of structural interpretation of the density imager in geonavigation of wells. An example from a horizontal well illustrates the potential benefits of combining structural interpretation of density imager data with seismic data analysis. Based on the drilling direction, different sand channels were identified, each characterized by varying angles and directions of layering. The directions derived from the density imager interpretation correspond closely with those obtained from seismic data interpretation. Analysis of the structural interpretation of density imager data from 52 horizontal wells in-dicates that layers with high dip angles (greater than 15°) generally exhibit better filtration and reservoir properties. Therefore, integrating the structural interpretation of density imager data, seismic data, and boundary mapping during the drilling process can aid in defining the boundaries and orientations of geological formations, ultimately helping to determine the optimal direction for further horizon-tal well drilling.
Sobre autores
G. Kazantsev
Industrial University of Tyumen
Email: kazancevg@inbox.ru
V. Grishkevich
Industrial University of Tyumen
Autor responsável pela correspondência
Email: kazancevg@inbox.ru
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