dang nhap 188bet VPI to launch web-based machine learning solution VPI-Mlogs in petrophysics
To help users easily access machine learning algorithms in petrophysics, Vietnam Petroleum Institute (VPI) has built VPI-Mlogs, a web-based platform that integrates various tools for data processing, exploratory data analysis, visualisation. Forecasting models have been conducted for petrophysical logs, fracture zones, etc., with reliability of over 90%, saving drilling time and cost.
dang nhap 188bet Vietnam Petroleum Institute (VPI) has used artificial intelligence (AI) and machine learning to research, develop and put into application high-quality prediction models such as: missing log forecasting, fracture zone and fracture density forecast, etc.
To help users easily access machine learning algorithms in petrophysics, VPI researched and built a web-based application named VPI-MLogs, which integrated exploratory data analysis tools and interactive visualisation functions to aid in deploying forecasting models.
Prediction results showed concurrently with log curves on VPI-Mlogs
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VPI-Mlogs applications are built based on popular data science tools such as Python, Altair, Streamlit, etc., in which, Streamlit is an open-source Python library with many advantages in terms of speed, readability, ease-of-use and dang nhap 188bet ability of operating web-based forecasting models .
According to Mr. Nguyen Anh Tuan - Data Analysis Department of VPI, in dang nhap 188bet current version, VPI-Mlogs forecasting models are built based on VPI's available data giving dang nhap 188bet testing reliability of over 90%. In dang nhap 188bet upcoming version, VPI-Mlogs will update dang nhap 188bet training tools, which allow users to modify dang nhap 188bet input data, fine-tune parameters and select algorithms to optimise dang nhap 188bet forecasting models.
VPI data analyst's working on VPI-Mlog
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