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Application of Computer Simulation Optimization Algorithm in Waste Treatment of Drilling Engineering

Author

Listed:
  • Chang Shu
  • JiChuan Zhang
  • Zhihan Lv

Abstract

The existing computer technology is used to conduct an in-depth study and analysis of drilling waste treatment, and the results are analyzed by computer simulation optimization algorithms. Based on the system theory, we define the research system, combine the unique characteristics of the technological innovation mechanism of drilling waste treatment, and use the internal and external factors affecting the technological innovation dynamics of drilling waste treatment, such as drilling waste treatment capacity, from the current actual situation. On this basis, factor analysis is used to analyze the factors affecting technological innovation dynamics from both internal and external aspects of the system, establish a system model of technological innovation dynamics of drilling waste disposal, and give the initial values of the simulation model. This will reduce the pollution of the environment and enhance the competitiveness of enterprises. Drilling waste treatment technology is getting increased attention, but at this stage, there is no suitable technology innovation mechanism for drilling waste treatment. Through the simulation trend chart obtained by sensitivity analysis, the key factors in the system are found, and the innovation power mechanism of drilling waste treatment technology is constructed, which provides a basis for the formulation of enterprise technological innovation strategies and the development of technological innovation activities. Research on the dynamic mechanism of drilling waste treatment technology innovation explores a waste treatment mechanism suitable for the drilling industry, so as to promote the steady development of the drilling industry and at the same time provide theoretical support for the treatment of drilling engineering waste.

Suggested Citation

  • Chang Shu & JiChuan Zhang & Zhihan Lv, 2021. "Application of Computer Simulation Optimization Algorithm in Waste Treatment of Drilling Engineering," Complexity, Hindawi, vol. 2021, pages 1-10, April.
  • Handle: RePEc:hin:complx:9927438
    DOI: 10.1155/2021/9927438
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