Research on Quality Assessment Model of Big Data in Petroleum Field Based Ontology and Linked Data

Research on Quality Assessment Model of Big Data in Petroleum Field Based Ontology and Linked Data

Petroleum industry

Gasoline

Big data

Oil fields

Petroleum prospecting

Quality control

Data handling

Ontology

Linked data

With the in-depth application of big data technology in the field of oil exploration and production. However, the data quality issues have seriously hampered the use of big data. This paper analyzes the evaluation methods of data quality at home and abroad, and uses Linked Data technology to publish the evaluation data into Linked Data, which solves the problem of non-uniform data format and establishes the relationship between the data. Then combined with ontology technology for related reasoning, to achieve the detection and evaluation of oil big data quality. Finally, the paper uses the real data of oil field to experiment, and the results verify the effectiveness of data quality detection and evaluation in the petroleum field. This method also provides a reference for the improvement of data quality assessment methods in other fields, and has practical value. 2020, Springer Nature Singapore Pte Ltd.

1274-1282

Yuan, Man

Hu, Chao

Liu, Yang

Mu, Yong-hao

8th International Field Exploration and Development Conference, IFEDC 2019, October 16, 2019 - October 18, 2019

2020

conferencePaper

18668755

10.1007/978-981-15-2485-1_113

http://dx.doi.org/10.1007/978-981-15-2485-1_113