Analysis And Application Of Logging Parameters In Neogene Layer Of KJZ Basin

Well logging technology plays an important role in the exploration and development of oil and gas fields, physical parameters obtained from logging have become one of tools and information sources while studying oil and gas reservoirs, as well as oil and gas areas. logging data which contain lots of geological information are the highest resolution, the maximum amount of data, the best continuity of geological data. Logging curves reflect the history of geological evolution in varying degrees, and the conditions and influence factors of generation and evolution of the layers from many different faces. This article has taken the neogene layer of KJZ basin as the main object of study, carried out the following researches, and obtained the important understanding:Firstly, for the use of crossplot technique of logging data, the author has done some statistical analyses of logging physical parameters in limestones and clastic rocks on the basis of areas, and summarized the differences in the physical parameters of limestones and clastic rocks. At the same time, using the method of principal component analysis, and taking principal component analysis of 66 sample rocks which selected in the study area in order to identify the limestones and clastic rocks. For igneous rocks, basalts and limestones, the author has been doing statistical analyses of different logging parameters, then analyzing the relations and differences of physical parameters. Furthermore, for the study area and its adjacent area, considering the case of a fixed porosity, the author has compared the differences of logging parameters which obtained from igneous rocks, limestones, sandstones, mudstones and so on. According to the distribution differences of the logging physical parameters in the study area, lithographer maps of the study area have be produced.Secondly, for the limestones, analyzing the relations of different logging parameters and the relations when the stones contained different fluids, fitting the relation between density and P-wave velocity, the relation between porosity and impedance. The author has analyzed the influences which caused by different parameters in various facies while discussing the physical parameters'influences which caused by porosity.Thirdly, according to the wavelet theory of multi-scale analysis, the multi-scale analysis of single logging parameter curves are studied. Based on the wavelet multi-scale edge detection principle and reconstruction algorithm of wavelet modulus maxima, multi-scale fusion of logging data is achieved, where the weighted method of low frequency and maximal absolute values of high frequency are selected.Finally, by using continuous Morlet wavelet transform of GR curve, the original logging data are transformed to two-dimension depth-scale(frequency) domain. Based on the average values of wavelet modulus at different scales and chromatograms of wavelet coefficient, the best scale factor is selected. And at the best scale, the cycle of wavelet coefficients could be analyzed. According to the cycle characters of wavelet coefficients combining with GR curve and the ratio curve of sand to mud, then the cycle of sedimentation has been demarcated.