Methods and systems for predicting risk of early-screen-out in near-well zone based on distributed fiber acoustic sensing (das)

Abstract

A method for predicting a risk of early screen-out in a near-well zone based on distributed fiber acoustic sensing (DAS) is provided. The method comprises: obtaining an acoustic signal during a fracturing process based on distributed optical fibers deployed in a well to be fractured, and obtaining pressure monitoring data based on at least one sensor deployed in the well to be fractured; determining, based on a location of a perforation cluster, and an acoustic signal of the perforation cluster, fracturing fluid flow velocity data of the perforation cluster by a first predetermined algorithm; determining, based on the fracturing fluid flow velocity data of the perforation cluster and perforation parameters of the perforation cluster, a perforation friction resistance pressure drop of the perforation cluster by a second predetermined algorithm; determining a near-well friction resistance pressure drop of the perforation cluster based on a fluid pressure, the perforation friction resistance pressure drop, a slit fluid pressure; determining a near-well friction resistance coefficient of the perforation cluster based on the near-well friction resistance pressure drop of the perforation cluster; and determining, based on the near-well friction resistance coefficient, whether the perforation cluster has the risk of early screen-out in the near-well zone.