VPI-Mlogs: A web-based machine learning solution for applications in petrophysics
نویسندگان
چکیده
Machine learning is an important part of the data science field. In petrophysics, machine algorithms and applications have been widely approached. this context, Vietnam Petroleum Institute (VPI) has researched deployed several effective prediction models, namely missing log prediction, fracture zone density forecast, etc. As one our solutions, VPI-MLogs a web-based deployment platform which integrates preprocessing, exploratory analysis, visualisation model execution. Using most popular analysis programming language, Python, approach gives users powerful tool to deal with petrophysical logs section. The solution helps narrow gap between common knowledge petrophysics insights. This article will focus on application many solutions grasp data.
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ژورنال
عنوان ژورنال: T?p chí D?u khí
سال: 2022
ISSN: ['2615-9902']
DOI: https://doi.org/10.47800/pvj.2022.10-06