Southwest Petroleum University

Le He

Yongming Li

Jianchun Guo

Xiyu Chen

Yong Ren

Shan Ren

Juhui Zhu

Qianli Lu

Tai Chang

Zhuang Liu

Jingze Li

Songgen He

Ji Zeng

Shouyi Wang

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.

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

A method for determining sand pumping parameters based on width distribution of fracture, including: acquire basic parameters of a target reservoir, simulate a propagation of the fracture, and obtain a propagation pattern and width distribution of the fracture; determine a maximum proppant particle size for entering the fracture at all width levels according to statistical results of the width distribution of the fracture; determine a multi-size combination of proppants according to a mapping table for particle size vs mesh of proppants, and determine an initial ratio of the proppant with each particle size; conduct a numerical simulation of proppant transportation in the fracture to determine a retention ratio of the proppants with each particle size; correct the initial ratio of the proppants with each particle size; calculate an amount of the proppants with each particle size according to the final ratio and the sand pumping intensity and fracturing interval length.

Method for determining sand pumping parameters based on width distribution of fracture

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Chengdu, China

Le He