Development Of Integrated Log Data Platform And Research On Corrected Depth

The corrected depth is a necessary work before the perforation,which determines the accuracy of the perforation.The inaccuracy of the corrected depth will make the perforation deviate,and directly influence the development of the oil well.The corrected depth is to compare the similarity between the curve before and after the set,and calculate the difference between the two logging in depth.At present,the perforating branches still use the traditional manual depth mode---manual calculation,which has low speed and accuracy.Therefore,it is necessary to realize the automatic depth to improve the efficiency.In order to improve the accuracy and speed for realization of automatic depth,this paper has mainly studied the wavelet threshold function,cubic spline function and the Pearson correlation coefficient.Because of the influence of logging equipment,environment and other factors,it is unavoidable to have noise in the logging curve.In order to filter out noise and improve the accuracy,this essay studied the existing method of denoising and found that wavelet threshold denoising method showed better effect in processing logging curve.Based on the analysis of the traditional threshold function and threshold,this paper introduced a new denoising method by improving wavelet threshold.The simulation experiment on logging curve demonstrated that the new method not only can filter noise and well preserves important information curve.However,due to the limit of the number of sampling points of the logging curve,the precision of the depth of the correction is not satisfied.So this paper used cubic spline function to convert the sample points on the logging curve based on the studying of the method of curve interpolation.The simulation experiment showed that cubic spline function interpolation still maintains the shape of the original logging curve when increasing the sampling point.There are many algorithms for curve similarity.The algorithm of Pearson correlation coefficient is decided as the algorithm to calculate the similarity of curves by the analysis of the similarity algorithm of different curves and the characteristics of logging curves.Through experiments it is found that the account of the calculation of the Pearson correlation coefficient method is simple,and its results are more consistent with project requirements.After analyzing the technical principles needed for the project,an integrated log data platform is developed.Through the development of data entry,scalar map,corrected depth automatic,system management,perforating equipment management and so on,it realized the effective management of logging data and automatic corrected depth of curve.