Low-yielding Low-pressure Well Test Analysis Of Theoretical Research And Software Development

Owing to the fact that the low-yield low-pressure well suffers the serious influence of wellbore storage effect, all can not achieve the radial flowing state in very long testing time, the test data can not be given the exact solution and explain by way of conventional or modern well-test analysis methods in traditional meaning, and can not accurately know reservoir characteristics and his important parameters. The regularity of these data is firstly studied in this paper. On the theory base of the reservoir fluid mechanics and the oil-recover engineering, and borrows pit shaft matter balance principle, the concrete computational method for afterflow is given, by means of the theory of mater balance in the wellbore. The noise of test data or the error come from calculation will make the analysis of low-yield low-pressure well-test unstable and affect the precision of the result, and in order to eliminate or to reduce these influence factors, the polishing handle method of data has been studied in this paper. The shape and the smooth of curve can be pledged by this method because the B-type spline curve of least square to protect shape and smooth is used for this method. Based on these theory foundations, the convolution and deconvolution analysis methods that is fit for the analysis of the low-yield low-pressure well test data are established with the aid of the numerical Laplace transformation and the inversion of discrete data. As one of the main work, a well-test software for the data of low-production low-pressure well has developed, and we use it to analysis the well-test data of the Santanghu Basin of the Tuha Oil Field, and has gained the satisfied interpretation results.