Research On Risk Assessment And Prediction Of Hydrogen Sulfide Device In Dagang Oilfield

At the present stage,there will be a certain amount of hydrogen sulfide gas in our country’s oil production process,and what is more,it seriously endanger the physical and mental health of the field staff.Once a hydrogen sulfide diffusion accident occurs,it will cause Irreversible losses to the local economic development and environmental protection work.Domestic and foreign researchers have some intensive study on quantitative research,material analysis and application research as well as evaluation system establishment,but the research on quantitative applicability and new methods is relatively weak.Moreover,some quantitative prediction models have low accuracy and poor applicability,which are not suitable for the domestic oil and gas drilling engineering.Aim at the problems above,combined with actual engineering requirements,the following aspects are discussed in the paper:(1)For the problems that a lot of hydrogen sulfide occurred in the process of drilling,production and gathering in Dagang Oilfield in recent years,this paper analyses the cause of hydrogen sulfide in each block through on-site survey,and integrates the historical records in each operation area.For the workspaces which are corroded by hydrogen sulfide,the dangerous and harmful factors in the factory area are identified from four aspects of design,construction,operation and maintenance,and the development of hydrogen sulfide in the operation area is predicted by the data fitting.Combined with the actual situation of the site,prevention and treatment measures are put forward to provide theoretical basis for further early-warning research.(2)In order to make a more objective and comprehensive evaluation of the quantitative security evaluation of the joint station of petroleum system,this paper proposes an improved risk assessment model of mond method based on accident tree theory.This method provides an objective basis for the value of the suggested coefficients through accident tree graphics deduction method on the basis of traditional method.Meanwhile,the risk of the equipment itself is quantified and the other toxic substances in the material are considered,which are more consistent with the actual production condition,and the results are more accurate.(3)In the process of oil and gas transportation in Dagang oil field,the material contains sulfur,carbon and hydrogen,and interaction of these elements will cause serious corrosion and leakage to the pipeline.For this problem,this paper mainly studies the model improvement of the grey neural network system and proposes an improved grey neural network model based on particle swarm optimization.On the basis of the traditional method,this method improves the background value of the grey theory,and uses the optimized algorithm to replace the least square thought in the traditional neural network model,and uses the difference value to match the the value required by the particle swarm,realizing the the parameter optimization function in the network and improving the prediction accuracy of the model.And compared with the four traditional algorithms.Compared with the other four algorithms,the improved grey neural network model based on particle swarm optimization algorithm has the highest fitting degree,the lease prediction error and the highest precision,and the actual corrosion situation of the field is more appropriate.Therefore,the improved pipeline corrosion prediction model has a higher accuracy and stability compared with the traditional method.It puts forward a new method and decision basis for the pipeline corrosion prediction in other workspaces of Dagang Oilfield.