Multifactor registration analysis of standby research of the process of transportation of cryogenic-gravel filter on wellbore

Abstract

The purpose of this paper is to analyze the results of bench studies of the technology for transporting an experimental sample of a cryogenic-gravel filter along a wellbore. For this, the method of multifactorial regression analysis of the linear and exponential model of the descent process was used. As a result of the work, it was found that the coefficient of determination of the linear model of multifactor regression is 0.66. The exponential model is more reliable than the linear model that allows approximating the results of the studies (the coefficient of determination is 0.835). In the future, it is expedient to conduct a multifactor analysis using other models, for example, polynomial, power, hyperbolic. To increase the reliability of the results of multivariate regression analysis, it is necessary to conduct additional bench studies to clarify the influence of the rate of descent and the temperature of the borehole fluid on the maximum possible depth of descent. The regression model found allows us to predict the maximum depth of descent of the cryogenic gravel filter under various geological and technical conditions. And this, in turn, makes it possible to optimize the design and technology of the filter descent