Study On Inter - Well Connectivity Of Reservoir Dynamic Data Based On Wavelet Analysis

Reservoir production system is a complex dynamic equilibrium system, research on the system need the parameters to accurately characterize the reservoir development characteristic. After injecting water into the reservoir, the formation pressure get supplemented by water. Crude oil and formation water constantly flooding through the better connectivity reservoir. Theoretically, the liquid production of wells changes with the water injection of wells,there is a certain relevance and interference between injection wells and production wells.When the injection signal passed in the reservoir, affected by the distance of wells, Oil viscosity, porosity and other factors, there is a certain time lag and decay. The liquid production data of production wells inevitablely exists interference,so, it can not applicated by the research for entire reservoir. In order to obtain valid information data, need to filtering and smoothing the dynamic data.Based on surveing extensive literature, this paper processes oil and gas well production data with methods of wavelet Analysis. Through a large number of filtering experiments,we compare MSE and SNR of results, combined the features of oil and gas well production data, selected the appropriate wavelet basis function and threshold functions. Matlab software was used on the decomposition and reconstruction of the injected and producing signal, to get the purpose of de-noising.Based on formation pressure changes,we established the connectivity model between wells on reservoir performance data.Use the reservoir simulation software,simulated the production data to verificate reliability of model, and combineing wavelet analysis denoising technology to optimize the model results.Then, aimed the part of the group of injection wells of the middle of Sha3Member of Block Xia-52of Linnan Oilfield,we did some research on reliability between wells.At last,we get more reliable results, for the future to provide a more reliable and stable oil yield theoretical reference.