Study Of Logging Evaluation Method For Tight Oil Reservoir

The tight oil and gas resource occupies an extremely important position in the petroleum resources of China.Different from the conventional reservoir logging evaluation which has single lithology composition and high porosity,the tight oil reservoir logging evaluation faces a series of outstanding problems.For example,the characteristic of tight oil reservoir is not clear,what's more,it is too difficult to identify the lithology.Next,we can't get a logging interpretation model of high accuracy.This paper takes the formation of Lucaogou oil reservoir in Changji oilfield as the research object.Based on the analysis of reservoir lithologic features of this area,the specific reservoir feature of tight oil reservoir has been discussed.First,some work has been done to qualitatively interpret the relationship between the four regional reservoir characteristics.Secondly,the reservoir pore structure characteristic has been deeply analyzed with the application of different data.Thirdly,based on the analysis of reservoir characteristics,using core sample analysis and test data,conventional logging and NMR logging date,we try to set up the lithology identification chart by establishing lithologic-sensitive parameters,such as structure index and matrix density.Fourthly,we introduced,compared and analyzed various models of porosity,permeability and saturation.What's more,by comparison and deeply study,we optimized a tight oil reservoir's evaluation method which is adapted to regional reservoir characteristics.Next,on the basis of available data,some research has been done to do the minimum standard of reservoir physical parameter and models of pore structure parameters.Last,based on formation testing,we build classification standard of tight oil reservoir in this area.Based on the works above,a set of comparatively perfect methods for tight oil reservoir evaluation are formed,which has high coincidence rate of interpretation.The methods of this article have achieved good application effect.