A Big Data Method Based on Random BP Neural Network and Its Application for Analyzing Influencing Factors on Productivity of Shale Gas Wells

A Big Data Method Based on Random BP Neural Network and Its Application for Analyzing Influencing Factors on Productivity of Shale Gas Wells

In recent years, big data and artificial intelligence technology have developed rapidly and are now widely used in fields of geophysics, well logging, and well test analysis in the exploration and development of oil and gas. The development of shale gas requires a large number of production wells, s...

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Bibliographic Details
Main Authors: Kang, L. (Author), Liu, Z. (Author), Wang, H. (Author), Yao, J. (Author), Yu, R. (Author), Zhang, L. (Author), Zhang, X. (Author), Zhao, Q. (Author), Zhou, T. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Artificial intelligence technologies
Big data
Big data analyse
big data analysis
BP neural network
BP neural networks
Data handling
Fracture
Gas well
Gas well productivities
gas well productivity
Gases
Horizontal wells
In-field
ITS applications
Natural gas well production
Natural gas wells
Neural network application
Neural networks
Oil wells
Production wells
Productivity
random probability
Random probability
shale gas
Shale gas
Well logging
Well stimulation
Well testing
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