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Research on Data Analysis Model of Oilfield Development Based on Dynamic Neural Network
Author(s) -
Ce Liu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/4/042037
Subject(s) - artificial neural network , oil field , field (mathematics) , computer science , process (computing) , development (topology) , dynamic data , dynamic network analysis , petroleum engineering , artificial intelligence , engineering , mathematical analysis , mathematics , pure mathematics , programming language , operating system , computer network
The uncertainty in the process of oil well development will have a negative impact on oil well production. The construction of dynamic neural network data analysis model for oil field development provides technical support and helps to promote the development of oil field development. In this paper, the dynamic neural network is studied firstly, and then the process of data analysis and pre-processing of oilfield development is analyzed. Finally, the application of optimization model of oilfield development data based on dynamic neural network is given.

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