Research and application of the big data analysis platform of oil and gas production

Research and application of the big data analysis platform of oil and gas production

Big data

Cluster analysis

Data mining

Data visualization

Decision making

Energy utilization

Gases

Gasoline

Natural gas well production

Natural gas wells

Oil field development

Oil wells

Pattern recognition

Petroleum analysis

Petroleum industry

Petroleum reservoir evaluation

Sensitivity analysis

Visualization

With the continuously progressing of building the intelligent oilfield and the rapid development of the Internet of Things and big data technology, the emerging technologies such as the information acquisition, distributed computing and data mining lead to unceasing innovation in the research and development and management approaches of enterprises. A technical revolution also occurs in the petroleum industry. At present, one of the challenges we are facing is how to keep the advantages of the conventional oil and gas production and combine them with the big data analysis to better serve the petroleum industry. Given the complexity and uncertainty and thus difficulty endowed in the conventional oil and gas production, one potential solution, based on the big data mining, is proposed. The big data clustering analysis can be used to evaluate the oil well, and the multi-variable sensitivity analysis can be visualized through the dimensionality reduction. Data processing, operation condition diagnosis, forecasting and warning, and multi-dimension multi-variable visualization analysis are the main functions that are achieved in our preliminarily-built big data analysis platform for the production of oil and gas wells. In the future, this platform will gradually transform form the "business model" into the "data model", which adopts various methods such as the statistical analysis, pattern recognition, clustering analysis and visualization to enable the intelligent diagnosis, forecasting and warning, and decision-making optimization and evaluation for the oil and gas well production, on the basis of the multi-dimension multi-source data. At last, it is anticipated that this platform should serve the oil and gas production and evolve into an effective method to improve the production, reduce energy consumption and decrease cost for the oilfield. 2019, International Petroleum Technology Conference

Zhao, Ruidong

Shi, Junfeng

Zhang, Xishun

Li, Jinya

Peng, Yi

Xiong, Chunming

Liu, Meng

Deng, Feng

Song, Shenggang

Miao, Guojing

International Petroleum Technology Conference 2019, IPTC 2019, March 26, 2019 - March 28, 2019

2019

conferencePaper

10.2523/19458-ms

http://dx.doi.org/10.2523/19458-ms