Risk identification and control measures push for unconventional oil and gas operations based on NLP technology
This article introduces a natural language processing(NLP)-based approach to identifying risks and promoting management and control measures for unconventional oil and gas operations.By building a JSA knowledge base and intelligent risk identification model for unconventional operations,and integrating it into the unconventional operation permit management system,this approach achieves efficient and automatic identification of risks and precise promotion of risk management and control measures,ultimately improving the level of risk management and control for unconventional oil and gas operations.
Unconventional oil and gas operationsNlp technologyRisk identificationManagement and control measures pushJSA library
NETL
NSTL
万方数据
维普
