A New Model for Predicting Pressure Fluctuations for a Robertson-Stiff Fluid in a Vertical Well


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

Determination of the reasonable and safe speed for tripping or running casing to avoid downhole problems requires the development of a methodology for modeling the rheology of drilling fluid and pressure fluctuations. Based on the model of flow in a narrow channel, a new calculation model of pressure fluctuations for a Robertson-Stiff (RS)fluid in a vertical well is derived in this paper. Unlike the simplified pressure fluctuations prediction method based on flow in a narrow channel, this model considers the actual difference in stresses between the wall of the moving drill string and the borehole wall, yielding more reliable prediction values. Results indicate that pressure fluctuation values calculated by this model are in good agreement with the values measured under field cjnditions: the average deviation corresponds to 2%, the maximum deviation does not exceed 7%. The pressure gradient directly depends on the hipping speed, rheological parameters of the fluid, and the ratio of the inner and outer diameters of the annular space, i.e. the gradient increases with an increase in any of these parameters. The findings presented in this paper may be of interest for determining safe operation modes for wells with enhanced safety requirements, such as drilling with casing or in deep-water drilling, including selecting the tripping speed, the rheological parameters of drilling mud, and the optimal sequence of casing installation.

作者简介

Wenlong Jiang

Petroleum Engineering College, China University of Petroleum

编辑信件的主要联系方式.
Email: jiang.wenlong@foxmail.com
中国, Beijing

Honghai Fan

Petroleum Engineering College, China University of Petroleum

Email: jiang.wenlong@foxmail.com
中国, Beijing

Rongyi Ji

Petroleum Engineering College, China University of Petroleum

Email: jiang.wenlong@foxmail.com
中国, Beijing

补充文件

附件文件
动作
1. JATS XML

版权所有 © Springer Science+Business Media, LLC, part of Springer Nature, 2019