Skip to main content
SpringerLink
Log in

Application of Big Data in Oil and Gas Exploration and Development

  • Conference paper
  • First Online:
Proceedings of the International Field Exploration and Development Conference 2021 (IFEDC 2021)

Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

Included in the following conference series:

Abstract

In the era of digitization of oil and gas industry, application of big data that is generated in the process of oil and gas exploration and development can boost the construction of digital and intelligent oilfield. The paper has introduced the status and problems of the application of big data in seismic, logging, drilling, fracturing, gas testing and productivity optimization, and ways of fast and efficient big data acquisition, processing and analysis in multiple domains of oil and gas industry. The expansion of oil and gas exploration and development activities especially needs the support of advanced big data analyzing and computing techniques that can be applied through upstream to downstream of the industry to get higher exploration and development efficiency. Full use of primary data mining and analyzing techniques can lower the cost of oil and gas operations and improve the integrated innovation of exploration and development. The research of application of big data analyzing techniques can speed up the construction of intelligent oilfield, provide better information resources for decision making, and lay solid foundation for sustainable development of oil companies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Li, S.: Probe on the application of big data in “intelligent oilfield.” Inf. Constr. 06, 135–136 (2020)

    Google Scholar 

  2. Wei, B.: Big data information application in oil industry in the background of internet. Comput. Knowl. Technol. 08, 25–26 (2017)

    Google Scholar 

  3. Kai, H.: Whole industry chain precise management of oil and gas field enterprise based on big data mining. Enterprise Logist. 02, 103–108 (2020)

    Google Scholar 

  4. Zhang, S.: Ideas on status and development of intelligent oilfield based on big data technology. Equipment Eng. China 02, 216–217 (2019)

    Google Scholar 

  5. Liu, Z.: New development of digital oilfield construction in Dagang. Forum Petroleum Technol. 03, 45–49 (2015)

    Google Scholar 

  6. Yu, R.: Application of big data in oil and gas exploration and development - shale gas field in south Sichuan as an example. Mineral Exploration 09, 2000–2007 (2020)

    Google Scholar 

  7. Chen, X.: Big data analysis techniques, application and effect in seismic data processing. Inf. Syst. Eng. 11, 98–100 (2018)

    Google Scholar 

  8. Zhang, C.: Research on identification method of reservoir fluids properties of Yan’an group in Huanxi-Pengyang region based on well logging and mud Logging data. Petroleum Drilling Expl. Technol. 09, 111–119 (2020)

    Google Scholar 

  9. Sun, J.: Tight gas reservoir horizontal well productivity evaluation with big data mining techniques. Special Oil Gas Reservoir 5, 74–77 (2016)

    Google Scholar 

  10. Chen, Z.: Study and application prospect of big data technology in oil and gas field drilling and completion. Mud Logging Eng. (4), 6–11,104 (2019)

    Google Scholar 

  11. Li, Y.: Application status and prospect of big data and artificial intelligence in oil and gas field development. J. China Univ. Petroleum (Natural Science Edition) 8, 1–11 (2020)

    Google Scholar 

  12. Han, S.: Application of big data in intelligent oilfield. Ind. Appl. 3, 63–66 (2019)

    Google Scholar 

  13. Li, S.: Analysis of shale gas well fracturing fluid recovery pattern based on big data mining techniques. Sci. Technol. Eng. 09, 130–134 (2019)

    Google Scholar 

  14. Liu, B.: Study and application of integrated platform of oil and gas field economic evaluation. Forum Petroleum Technol. 4, 63–65 (2020)

    Google Scholar 

  15. Niu, Z.: Study of big data analysis application in oil production engineering management. Management of Chemical Engineering, 2020 (24)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Exploration and Development Research Institute, Daqing Oilfield Company Ltd., Daqing, China

    Wei Zhang

Authors
  1. Wei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wei Zhang .

Editor information

Editors and Affiliations

  1. College of Petroleum Engineering, Xi'an Shiyou University, Xi’an, Shaanxi, China

    Jia'en Lin

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, W. (2022). Application of Big Data in Oil and Gas Exploration and Development. In: Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2021. IFEDC 2021. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-2149-0_363

Download citation

Publish with us

Policies and ethics

Search

Navigation