| Daniudi gas field located in the Ordos Basin,in the north-east slope of Shanxi,which is a typical low porosity and low permeability tight sandstone gas reservoir.The exploration and development get more and more attention,log interpretation model of tight sandstone gas reservoir's parameters have been difficult.Because of compared with conventional sandstone,tight sandstone gas reservoirs are very different,relatively low porosity and permeability,complex pore structure,reservoir properties of reservoir is relatively poor,Research on logging interpretation is difficult for tight gas sandstone reservoirs.Firstly,on the basis of core correction,fully use of existing logging data,core data,properties and other information,to study the lithology,physical properties and electrical properties characteristics,based on the study area for tight sandstone reservoir low porosity and permeability characteristics,the system for four sexual relationships were studied,get the main controlling factor in reservoir properties and all of these established the foundation for log interpretation model.In order to predict reservoir parameters accurately,we use different layers and different lithology to establish reservoir parameters interpretation models.For sandstone type is divided by using a neural network,which achieved good classification results.reservoir parameters are obtained by using the core data through a variety of statistical methods to establish the physical parameters model,including linear one yuan,multiple regression and nonlinear BP neural network and support vector machines.By comparing a variety of models,the suitable log interpretation method is chosen for the study area,through the interpretation model validation results,indicating that the use of support vector machine to predict tight sandstone reservoir parameters have better predictive results,which can improve Daniudi tight sandstone gas reservoirs logging interpretation model accurately. |
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