Intelligent recommendation technology for cement slurry formula based on neural network
In the era of big data,data mining and analysis are key factors in achieving data value and influencing decision-making.The digitization and informatization development and reuse of cementing experiment data is an inevitable trend in the future.This article analyzes the information database of cementing cement slurry experiments and selects the most suit-able range of cement slurry formulas for different oilfield blocks and geological conditions,in order to achieve targeted simplification of cement slurry formulas.And relying on the experi-mental data pool stored in this module,a large amount of artificial intelligence training is carried out to form an intelligent recommendation technology for cement slurry formulas.Through on-site testing and application,the accuracy of the model has reached 82.3%.The research results have reduced manual workload,improved data transmission and work effi-ciency,and to some extent accelerated the cement slurry formulation cycle,with good results.
万方数据
维普
