[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-31-07-2022-268

Title : Big Data Interpretation for Petroleum and Energy Extraction Study and Application
V. Naveen Kumar, Dr. Ashok Kumar.P.S
 
Abstract :

The exploration and commercialization of petroleum and energy is a data-driven economy. The generation of massive volumes of data has laid the ground- work for the application of Big Data Analytics (BDA), mining data resources, and using this information to drive oilfield production techniques are all part of the core technologies of the oil and gas industry. Huabei Oilfield has been experimenting with the use of big data analytics in oil and gas production in recent years. Taking into account the various categories and attributes of oilfield information, a "seven-step method" for closed-loop BDA has been developed, which includes data collection, processing, tracking, and evaluation. A Hadoop/Spark-based data-mining platform for oil production engineering has also been developed.