%0 Dataset
%T Ultra low temperature drilling fluid formula optimization and performance evaluation data set (May June 2019)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/8573acc7-70f7-4d75-aa26-00aa901a9f15
%W NCDC
%R 10.12072/ncdc.SRIPE.db1713.2022
%A Gao deli
%K Ultra low temperature
%X This dataset compiles and collects data on the optimization and performance evaluation of ultra-low temperature drilling fluid formulation during project implementation. Indoor experimental methods were used to optimize the ultra-low temperature drilling fluid formulation, evaluate its performance, and construct drilling fluid formulations for different low temperature ranges, forming the dataset. The main elements of this dataset include apparent viscosity, plastic viscosity, dynamic shear force, filter vector, density, pressure, and filtration area. The indoor experiment of this project started on May 1, 2019 and ended on June 30, 2019. A total of 27 sets of indoor experiments were conducted in Qingdao, Shandong Province, and the experimental dataset was fully open and shared.