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Machine learning is an important part of the data science field. Inpetrophysics, machine learning algorithms and applications have been widelyapproached. In this context, Vietnam Petroleum Institute (VPI) has researchedand deployed several effective prediction models, namely missing logprediction, fracture zone and fracture density forecast, etc. As one of oursolutions, VPI-MLogs is a web-based deployment platform which integrates datapreprocessing, exploratory data analysis, visualisation and model execution.Using the most popular data analysis programming language, Python, thisapproach gives users a powerful tool to deal with the petrophysical logssection. The solution helps to narrow the gap between common knowledge andpetrophysics insights. This article will focus on the web-based applicationwhich integrates many solutions to grasp petrophysical data.

VPI-Mlogs: A web-based machine learning solution for applications in petrophysics