APPLICATION OF BIG DATA AND ARTIFICIAL INTELLIGENCE

The promise of extracting knowledge from "Big Data" using traditional mining methods has not yet been fully realized. With the growing number of production data generated every second, the industry needs new technologies and approaches to "big data analysis." Several recent publications have applied data-mining techniques to extract useful information from big data. However, the rise in massive production data makes it difficult to analyze using traditional mining methods. This study developed a new software that provides real-time tracking of non-flow assurance problems to proactively monitor and extract vital information from massive production data. A voice is automatically activated when there is a potential threat and alerts engineers to respond in record time. The software combines existing well diagnostics models with Python programming to detect impending problems, diagnosed potential caused and prescribed preventive action. The book also applied image detection and artificial intelligence to analyze massive production data.