摘要
                
                    钻井作业中,井控管汇受到高速携砂液的冲蚀作用会出现磨损现象,因此研究其常用管材35CrMo钢的冲蚀性能有重要意义。采用喷射型冲蚀试验机进行了室内试验。35CrMo钢在高速携砂液的冲蚀磨损下,以冲蚀磨损量和冲蚀率表征冲蚀磨损程度,对冲蚀过程中的冲蚀磨损程度随冲蚀时间的变化进行了过程划分;对经降噪和求取梯度处理后的磁记忆信号进行分析,将其与35CrMo钢的冲蚀磨损程度进行拟合定量分析。将磁记忆信号特征参量和冲蚀磨损程度2个变量绘制关系曲线及拟合公式,发现磁记忆信号的梯度峰峰值与冲蚀磨损量呈指数相关,磁记忆信号的梯度峰峰值之间的差值与冲蚀率基本呈正线性相关。通过对磁记忆信号的处理,可定量分析出某一情况下35CrMo钢被冲蚀磨损的程度。
                
                In  the drilling  operation, well  control manifold wear  could  be  observed  because  of  erosion  by  high-speed sand carrying  liquid,  therefore,  it  is important  to  study  the  erosion  performance of 35CrMo  steel. The  jet  e- rosion  test  equipment  has  been  used  for  testing  the  erosion  wear  of  the 35CrMo  steel  under  high-speed sand  carrying liquid. The erosion wear  degree is  characterized  by  erosion wear  loss and erosion wear  rate. The erosion wear  de-gree of  the 35CrMo steel in  the  erosion  process along erosion time has been divided. The magnetic memory signal after noise  reduction  and  gradient  processing  was  analyzed  and  used  to  fit  the  erosion  wear  degree  of 35CrMo  steel  to conduct quantitative analysis. The  relationship  curve  and  the  fitting  formula  of  the  characteristic  parameters  of  mag-netic memory signal and the degree  of  erosion  wear  were  attained. The gradient  peak- to-peak value  of  the magnetic memory signal and the  erosion  wear  loss  is  exponentially related. The  difference between  the  peak- to-peak value of the magnetic memory  signal  and  the  erosion  rate  is  basically  linearly  related. The  treatment  of  the magnetic memory signal could  be used to quantitatively analyze  the  erosion degree of  the 35CrMo steel.
    
    
    
    
                出处
                
                    《石油机械》
                        
                        
                    
                        2017年第3期21-25,共5页
                    
                
                    China Petroleum Machinery
     
            
                基金
                    中海油有限公司综合科研项目"中海油井的完整性技术体系研究"(YXKY-2015-ZY-09)
            
    
    
    
                作者简介
王虹富,生于1992年,在读硕士研究生,研究方向为安全检测与智能诊断工程.地址:(102249)北京市昌平区.E-mail:118354201021@163.com.
通信作者:樊建春,E-mail:2870251609@qq.com.