@Article{fdmp.2023.025342,
AUTHOR = {Shuang Liang, Fangyu Luo, Huihui Yu, Jian Gao, Xiaolin Shu},
TITLE = {An Auxiliary Monitoring Method for Well Killing Based on Statistical Data},
JOURNAL = {Fluid Dynamics \& Materials Processing},
VOLUME = {19},
YEAR = {2023},
NUMBER = {8},
PAGES = {2109--2118},
URL = {http://www.techscience.com/fdmp/v19n8/52230},
ISSN = {1555-2578},
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.},
DOI = {10.32604/fdmp.2023.025342}
}