Among the three segments in Oil and Gas industry, where huge data is produced every day, upstream segment and specifically production area is moving towards complete automation with the help of technologies such as IIOT and big data. The Oil and Gas Upstream production involves many sensors to collect the data that are attached to all the wells, and this data is processed through IOT Gateways into traditional servers. Such data can be analyzed using multiple analytics to predict and monitor so many components such as the temperature growth, water rate, gas rate, and oil rate etc., The current paper is to analyze the data produced from 5 different wells. Two months data is collected, summarized to find the correlation between the oil, water and gas produced from each well. The purpose is to find the relationship between each of the components. This helps in predictive maintenance and also gives information on how much oil and gas can be produced. When compared with the historical data, if the correlation coefficient is changing abnormally at any specific point the monitoring team must investigate and do proper maintenance.

IIOT- Industrial Internet of Things, IOT – Internet of Things, O&G - Oil & Gas, Corrleation

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