Method Of Well-Logging Diagenetic Fades Identification In The Ordos Basin

Sulige gas field where is in the Ordos basin is the largest one in the China. In the recentyears.Based on the study to the He8and shan1section.we know that diagenetic facies is one ofthe important factor to control hydrocarbon accumulation.When using the well logging data toidengtify the diagenetic facies.its Logging characteristics have been impacted by the rockcomposition and the cumulated influence of many kinds diagenesis.Logging characteristics showcomplex.And the logging characteristics have so many interpret results.The results of identifiedthe diagenetic facies is not accurate enough by the logging characteristics.In this paper.forsolveing the problems.At first.we make lithology as a unit to extraction of logging responsecharacteristics and identify the facies. This method not only removed the influences oflithologic.but also control the number of dagenetic facies by the Rock skeleton particlecomposition.At second. compare the clay minerals content of explain the results withAchlumberger Engraving method.BP artificaial neural and three porosity method.Choose the bestmethod to calculation of clay mineral content. Clay mineral content ratio (R) can represent thepore fluid acid and alkaline in the diagenetic process and reflect the diagenetic facies types.Improve the accuracy of determination results. At last. According to the different function ofdiagenetic relative hole sew evolution. Define the concept of logging diageneticfacies,classification scheme and identifying process. Using the support vector machines(SVM).extreme Learning Machine(ELM) and pobabilistic neural network(PNN) which based on thedifferent classification principle to compare the ability of identifing the facies by the differentlogging combination.Put forward a new method and theoretical basis for a wide range of coringinterval accurately judging diagenetic facies. For example At the same time.We focus on suligehe8and shan1reservoir body in the ordos. form a SEP recognition module. Choosing the bestcombination logging to identify logs diagenetic facies. Finally the accuracy rate of logs diageneticfacies identify is83.64%in the litharenite and lithic quartz sandstone, in the mud litharenite andmud lithic quartz sandstone is81%through this method in the He8section of Sulige area OrdosBasin. And the gas testings results are general gas reservoirs or gas and water reservoirs. the poorgas reservoirs barely exist in the area which is widely develop corrosion facies.From the contrast of results of pattern recognition algorithms discriminant logging diagenetic facies and actual coring analysis. The following major knowledge have been got.1、 We defined the concept of logging diagenetic facies,classification scheme andidentifying process.The logging diagenetic facies.reflect the formation characteristics and is alogging feature set for the diagenetic facies which is have the same influence on the porosity andcrack evolution.2、 The logging feature of logs diagenetic facies was complex have two major reasons.Oneis the rock skeleton particle composition. Another is much period and kinds diagenesis stack. wemake lithology as a unit to extraction of logging response characteristics and identify the facies.This method not only removed the influences of lithologic.but also control the number ofdagenetic facies by the Rock skeleton particle composition.3、 We difine the clay mineral ratio (R).compare the clay minerals content of explain theresults with Achlumberger Engraving method.BP artificaial neural and three porositymethod.Choose the best method to calculation of clay mineral content. Clay mineral content ratio(R) can represent the pore fluid acid and alkaline in the diagenetic process and reflect thediagenetic facies types. Improve the accuracy of determination results.4、 We divided12kinds of diagenesises and8kinds of diagenetic facies into3kinds oflogging diagenetic facies. At last. the accuracy rate of logs diagenetic facies identify is83.64%inthe litharenite and lithic quartz sandstone, in the mud litharenite and mud lithic quartz sandstoneis81%through this method in the He8section of Sulige area Ordos Basin.. The area of denudationfacies essentially are gas reservoir or water and gas reservoir. No poor gas reservoir. The area ofdestructive facies are poor gas reservoir.5、 The SEP logging diagnenetic facies discrimination methods is make up of the supportvector machines and extreme Learning Machine and pobabilistic neural network by theconformity principle. The results of this compared with single method have improved1.1%atbest. and improvd4%at worst. I think this is a further reason the method of SEP improve theresults of identify at best is limited. But it have big lead in the multi solution identified loggingdiagnenetic facies.6、 The logging features of logging diagnenetic facies are the most important factorsinfluence on neural network discriminate ability in the training set. In the process of built trainingset with the logging feature. For the every sample point must strictly correct the depth. Thesample point in the frequent sand mud interbed layers should block to ensure accuracy. Improvingthe identify ability.7、 Well-logging information is the reflect for the reservoir composition and structure by thedifferent physical detection methods. So in the process of identify the logging diagnenetic facies wo must contrast results by the logging different combination.8、 The quartz sandstone reservoir are major development in the west basin. In this area.The composition of quartz sandstone is simple. Therefore for this kind of reservoir.we canchoose the method of porosity or chart or compaction and so on. and could identify the loggingdiagnenetic facies effective.Thie paper has three innovation points:1、 We defined the concept of logging diagenetic facies,classification scheme andidentifying process.It put forward a new method and theoretical basis for a wide range identifydiagenetic facies in the not cored interval.2、 Used the method of SEP Well-Logging Diagenetic Facies identification in the differentunits. It can improve accuracy of diagenetic facies which is have multiple solution of loggingcharacteristics.3、 We difine the clay mineral ratio (R). It can represent the pore fluid acid and alkaline inthe diagenetic process and reflect the diagenetic facies types. Improve the accuracy ofdetermination results.