Open Access

ARTICLE

An Auxiliary Monitoring Method for Well Killing Based on Statistical Data

Shuang Liang^1,*, Fangyu Luo², Huihui Yu³, Jian Gao¹, Xiaolin Shu¹

1 CNPC Research Institute of Safety & Environment Technology, Beijing, China
2 Environmental Protection and Technical Supervision Research Institute, PetroChina Southwest Oil & Gas Field Company, Shanghai, China
3 West East Pipeline Company of PipeChina, Shanghai, China

* Corresponding Author: Shuang Liang. Email:

(This article belongs to this Special Issue: Fluid Flow and Materials Strength related to the Wellbore Safety)

Fluid Dynamics & Materials Processing 2023, 19(8), 2109-2118. https://doi.org/10.32604/fdmp.2023.025342

Received 06 July 2022; Accepted 08 November 2022; Issue published 04 April 2023

Abstract

In the present study, a large set of data related to well killing is considered. Through a complete exploration of the whole process leading to well-killing, various factors affecting such a process are screened and sorted, and a correlation model is built accordingly in order to introduce an auxiliary method for well-killing monitoring based on statistical information. The available data show obvious differences due to the diverse control parameters related to different well-killing methods. Nevertheless, it is shown that a precise three-fold relationship exists between the reservoir parameters, the elapsed time and the effectiveness of the considered well-killing strategy. The proposed monitoring auxiliary method is intended to support risk assessment and optimization in the context of typical well-killing applications.

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Keywords

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