Simulation Analysis About Process And Structural Parameters Of Thermomechanical Cuttings Cleaner To Oily Sludge

The waste oil-based mud and oil-containing drill cuttings produced during the drilling and extraction of oil and natural gas are called oily sludge,which have complex and toxic components and have extremely strong pollution properties.The conventional treatment methods for oily sludge at home and abroad mainly include incineration,landfilling,microbial treatment,chemical treatment,centrifugal drying,etc.Although these treatment methods have their own advantages,they also have disadvantages such as insufficient economy and environmental protection.Therefore,for the treatment of oily sludge,an economical and environmental friendly method with the advantages of conventional treatment methods is urgently needed.The method of hammer pyrolysis fully meets the above requirements.Its heat treatment unit is similar to a hammer mill,which is called TCC(Thermomechanical Cuttings Cleaner)abroad.However,most of the domestic researches on this equipment only exist in the review reports,and the foreign research datas that can be consulted only have simple patent introductions,so further research on this equipment is extremely needed.This article is based on the discrete element method theory and the discrete element method commercial software EDEM to establish a numerical simulation model of the working process of the equipment.Through the simulation analysis of the material particle motion characteristics and force energy parameters in the equipment working chamber,it is used to evaluate the heat generating capacity of the equipment under the different processes and structural parameters,and analyze the principle of each parameter on the heat generating capacity,which purpose is to provide relevant theoretical support for equipment design.The main contents include:(1)Based on the analysis of the heat production mechanism of TCC equipment,the process and structure parameters that affect the heat production capacity of the equipment are established.Based on this,the evaluation index of the heat production capacity of the equipment is established with the help of the discrete element method theory and the traditional crushing and grinding theory.(2)Establish a 3D model of the equipment,and establish the geometric model of the equipment required for the simulation based on the characteristics of the EDEM software and mesh it;simplify the material particle model and establish a suitable particle-to-particle,particle-to-equipment contact model,and simulate the equipment working process to analyze the motion and force parameters of the material particles,and verify the rationality of the simulation model combine with the working mechanism of the equipment,and study the heat generation distribution of the equipment combine with the evaluation indicators.(3)Using the control variable method and following the single variable principle,design simulation experiments for equipment process parameters(material filling rate,rotation speed)and structural parameters(axial distance between the rotor blades and the distance between the blade ends and the cylinder wall).Based on the analysis of the motion and force parameters of the material particle,and combined with the evaluation indicators,analyze the influence principle of each parameter on the heat generation of the equipment.(4)Select the process and structure parameters that affect the heat production capacity of the equipment,and establish an appropriate level according to their respective influence laws on the heat production capacity of the equipment.Design orthogonal tests based on the interaction between verification factors,and perform a range analysis on the test results.Establish the primary and secondary relationship of the influence of each factor on the equipment's heat production capacity and the optimal level corresponding to each factor using the comprehensive comparison method,and establish the optimal process and structural parameters of the equipment under certain operating conditions.