Application of Logging Data Wavelet Transform and Pseudo-Imaging to Fine Division of Deep Barrier/Interlayer
Barrier/interlayer is a key factor that significantly affects fluid flow and controls the distribution of oil and water,and it serves as a crucial evidence for understanding the distribution of remaining oil.Barrier/interlayer in deep strata is difficult to identify due to the high coring cost,large depth error in logging data,low resolution of conventional logging curves,and ambiguous signals from thin interbeds.Through core analysis of key wells,the logging curves sensitive to barrier/interlayer and their response characteristics were identified.By employing wavelet decomposition and reconstruction,the conventional sensitive logging curves were processed with high resolution,which reduced the smoothing effect of adjacent layers and highlighted the logging response characteristics of thin layer interfaces,making thin lay-er identification resolution enhanced by nearly 100%.By integrating the vector pattern of formation dip and pseudo-imaging characteristics of barrier/interlayer,a method for identifying and dividing deep barrier/interlayer was established.Actual applications demonstrate that this method allows for precise identification of barrier/interlayer,with a much higher capability than conventional methods.This method yields an accuracy of layer correlation between wells increased by 38%,elucidating the issue of inclined oil-water contact and providing remain-ing oil distribution.
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