The shallow heavy oil sampling probe
selection method and
system based on a dynamic mobility window selects data in the process of adjacent well sampling, fits a
differential pressure-
time function, and then calculates the upper limit and
lower limit of the mobility window of each probe to form a probe sliding mobility window, compares each probe sliding mobility window with the best sampling mobility range of the sampling target layer one by one, and selects the optimal
probe type. Meanwhile, when the sampling operation cannot meet the success standard, the measured formation pressure and pipeline pressure of the target well are fitted into a new
differential pressure-
time function to cover the original function, and dynamic adjustment is realized. The beneficial effects of the present application are: improving the sampling success rate, accurately matching the formation conditions and probe parameters through the dynamic mobility window. Shortening the
operation time, optimizing the sampling
probe type, and effectively improving the operation timeliness. Enhancing
system automation, and adapting to changes in complex formations.