In order to solve the problem of how to choose the cloud computing dynamometer card production model and edge computing dynamometer card production model for pumping wells in the current oilfield,the paper uses the above two models to carry out field tests on four types of pumping wells in Changqing Oilfield,and compares the corresponding sampling frequency,processing efficiency,production accuracy,return on investment and other aspects of the two models.The analysis results show that the edge computing power map production planning mode has higher sampling frequency and faster analysis and processing speed,but the return on investment is relatively low.By comparing with the manual single quantity results,it is shown that the relative errors between the production calculation results of the two modes and the manual single quantity results are 2.37%and 2.65%,respectively,when the number of collected power maps in the cloud meets the standard,which is basically consistent;In the case where the number of collected power maps in the cloud does not meet the standard,the relative errors between the production calculation results of the two modes and the manual single quantity results are 6.95%and 3.94%,respectively,for a pumping well with stable liquid output,which still remain consistent;Under the condition that the number of collected cloud power maps is not up to the standard,for the pumping wells with fluid fluctuation,the relative error between the edge computing power map production results and the manual single quantity results is basically the same 4.37%.However,there is a significant error between the cloud computing power chart production results and the manual single quantity results,with a relative error of 18.42%.At present,transmission technologies such as 5G and fiber optics have been widely applied in major oil fields,and the foundation of IoT construction in oil fields is good.It is recommended to choose the cloud computing power diagram production calculation mode,which has accurate production results and relatively high investment return rate.
关键词
油井/采油/抽油机井/产液量/功图计产/云计算/边缘计算/物联网
Key words
oil well/oil extraction/pumping unit well/fluid production rate/production calculation based on dynamometer cards/cloud computing/edge computing/internet of things
维普
万方数据