Geological Fractures Detection by Methods of Machine Learning

被引：0

作者：

M. V. Muratov

V. A. Biryukov

I. B. Petrov

机构：

[1] Moscow institute of Physics and Technology,

来源：

Lobachevskii Journal of Mathematics | 2020年 / 41卷

关键词：

machine learning; neural network; mathematical modeling; grid-characteristic method; exploration seismology; fractured media; inverse problems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：533 / 537

页数：4

共 17 条

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Frogner C.(2019)The application of grid-characteristic method in solution of fractured formations exploration seismology direct problems (review article) Matem. Mod. 31 33-56

[4]

Zhang C.(2018)Parallel implementation of the grid-characteristic method in the case of explicit contact boundariesm Comput. Res. Model. 10 667-678

[5]

Poggio T.(2017)Numerical simulation of fracturing in geological medium Proc. Comput. Sci. 112 1216-1224

[6]

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