Lithology Identification Methods Of Glutinite

Evaluation of reservoir lithology recognition technology, is a comprehensiveevaluation of reservoir and reservoir based on its direct impact on the level of precision the effectof reservoir evaluation to determine fluid identification, evaluation of the level of productivityand precision. This article first introduces the Junggar Basin in northern Mozambique’s geologyand the principles involved in logging methods.5in statistics on the basis of well logging data,core data, calibration data on the basis of core analysis, logging, logging, testing the calibrationdata are work place, involving16species of lithology mainly argillaceous siltstone, silty sandmudstone, siltstone and mudstone, fine sandstone, carbonaceous mudstone, modeling the data of1096layers of lithology identification method is presented. In place process, because somelithologic quantity is less, the certain classification. Sandstone and fine sandstone in unity, forexample, classified as sandstone, carbonaceous mudstone and coal in return for a class, in theconglomeratic sandstone and gravel in the sandstone in the sandstone are classified as category.Then the basic theory of sedimentary petrology as the basis for the Junggar Basin inXinjiang in northern Mozambique lithologic complex features five wells in the statistics loggingdata, core data based on the response characteristics similar to the geological significance ofsimilar log response can be identified as the principle of selection of natural gamma, neutronlogging, resistivity logging, logging in the area were Tugulu group Toutunhe, Xishanyao,Sangonghe the main reservoir lithology analysis, produced the corresponding lithologicalidentification templates and gives oil of Correction. and as a basis of the study area to identifyMo171wells, the recognition results in good agreement with the lithologic section. Compliancerate of75%, indicating that the method has a potential market value.