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Core photo lithological interpretation based on computer analysesстатья
- Авторы: Ivchenko A.V., Baraboshkin E.E., Ismailova L.S., Orlov D.M., Koroteev D.A., Baraboshkin E.Yu
- Сборник: Proceedings of the 2018 IEEE Northwest Russia Conference on Mathematical Methods in Engineering and Technology (ММET NW 2018)
- Том: 8
- Год издания: 2018
- Место издания: Изд-во СПбТТИ Санкт-Петербург
- Первая страница: 426
- Последняя страница: 428
- Аннотация: Core photo lithological interpretation based on computer analyses. Demands for speed which geological data should be processed is rising. The problem doubles when you don't have any unite Government or production standards for the processing of it. In addition to some geological tasks, there are no criteria for subjectivism reduction or hard to distinguish in boundary rock task. On the basis of machine learning and neural networks, we demonstrate the automatization of geological information analysis based on core images. We show the ability of the algorithm to distinguish six lithotypes with highest precision 98 % on several classes.
- Добавил в систему: Барабошкин Евгений Евгеньевич