Research and Application of Big Data Analysis for Oil and Gas Production
Title
Research and Application of Big Data Analysis for Oil and Gas Production
Subject
Economics
Decision making
Big data
Oil field development
Quality control
Gases
Data handling
Data mining
Production control
Production efficiency
Description
The history of oil and gas development and production is a history of data development. The generation of a large amount of information data has laid the cornerstone for the application of big data analysis. How to effectively mine data resources, use big data analysis to guide oilfield production practices, and provide a theoretical basis for decision-making to improve quality and efficiency is the technology core. In recent years, Huabei Oilfield has explored the application of big data analysis in oil and gas production. According to the types and characteristics of oilfield data, it has proposed and created a closed-loop big data analysis 'seven-step method' system from acquisition, processing, tracking, and evaluation, preliminary designed and developed a data mining platform for oil production engineering based on Hadoop/Spark
The platform has been applied in 6 oil and gas production units and achieved remarkable social and economic benefits. 2021 IEEE.
97-100
Creator
Guizhi, Min
Zhongbo, Liu
Zhanmin, Zhang
Xuefeng, Jin
Weiyi, Xie
Shuai, Wang
Publisher
2nd IEEE International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, ICBAIE 2021, March 26, 2021 - March 28, 2021
Date
2021
Type
conferencePaper
Identifier
10.1109/ICBAIE52039.2021.9389892
URL
http://dx.doi.org/10.1109/ICBAIE52039.2021.9389892
Citation
Guizhi, Min et al., “Research and Application of Big Data Analysis for Oil and Gas Production,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/29115.