Construction of an Industrial Structure Analysis and Evaluation Model for Oil and Gas Resource-Based Cities Based on Deep Learning Model and Cluster Analysis

Shuran Deng and Gengxin Sun

Mathematical Problems in Engineering, 2022, vol. 2022, 1-8

Abstract: In the present time of resource integration, the industrial transformation of oil and gas resource-based cities has become inevitable. Through the qualitative and quantitative analysis of the current situation of industrial structure, the overweight of industrial structure is pointed out and reasonable suggestions are put forward for the existing problems. This paper constructs an industrial structure analysis and evaluation model for oil and gas resource-based cities based on deep learning model and cluster analysis. The transformation of traditional industries is a long process, and at present the oil and petrochemical industry should still be an important support for Daqing’s economic development, so more efforts should be made to extend the service life of oil fields and to get more funds and time for successive industries. Fine exploration is being carried out, relying on continuous innovation in exploration theory, methods, technology and management, and re-measuring old exploratory wells in fields that have already been explored.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:2179494

DOI: 10.1155/2022/2179494

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