Research On Processing Method And Application Of Intelligent Well Downhole Monitoring Data

The data from the downhole monitoring equipment of intelligent well include much information of reservoir,which has an inestimable influence on the understanding of reservoir,the interpretation of reservoir state and the optimal control of production.Due to various factors,there will be some noise in the data,and even abnormal data.In order to improve the authenticity of the data,the monitoring data must be processed to get more accurate data.The accurate data can reflect the real reservoir state accurately and reliably.Reservoir history matching based on these data is helpful to obtain more accurate reservoir parameter,which will also be beneficial to control reservoir production,and make the optimal development of the oil reservoirs.In this paper,a new method to obtain the reservoir parameters accurately is proposed based on the data of the intelligent well downhole monitoring and real-time reservoir history matching.First of all,we detected outliers in the data in the way of Thompson's algorithm;Secondly,based on the theory of wavelet transform,we denoised with the function named wden in MATLAB software;Then,we compressed amount of the data used with the function wdencmp in MATLAB;Finally,after going into the theory of EnKF,we designed the intelligent reservoir real-time matching software combined EnKF with Eclipse software.We generated the initial reservoir models by sequential Gauss method to simulation,with the models to verify the real-time matching and studied the sensitivity of and influencing factors.The results show after processed,the noise level decreased significantly,the redundancy reduced,and the trends and details of the data have been preserved,which provids reliable data for reservoir real-time matching to get more real reservoir parameters.These not only help us correctly understand the reservoir and control optimizing production of the reservoir,but also provides an important basis for the design of reasonable reservoir development scheme.These results will help us to further understand and improve the reservoir model,and it plays an important role in the optimal control strategy of reservoir production.