Cu-Zn-Al alloy of one dimensional nano-structure was prepared and thestructure of obtained nano-material was characterized by transmission electron microscope (TEM). Itwas shown that there are non-linear oscillations ...Cu-Zn-Al alloy of one dimensional nano-structure was prepared and thestructure of obtained nano-material was characterized by transmission electron microscope (TEM). Itwas shown that there are non-linear oscillations on the surface of Cu-Zn-Al alloy and theconsanguineous connection exists between non-linear oscillation and the growth process of onedimensional nano-structure. The diameter of one dimensional nano-structure is about 40 nm, and theratio of length to diameter is over 40. Finally, the growth mechanism of one dimensionalnano-structure was also studied.展开更多
循环温度的准确预测是保证尾管固井施工安全、提高固井质量的基本前提。目前预测方法中实测井温成本高,经验法和API RP 10B反映的是一个区域的平均循环温度,现有的循环预测模型没有针对尾管固井复杂的工艺流程。为科学预测循环温度,根...循环温度的准确预测是保证尾管固井施工安全、提高固井质量的基本前提。目前预测方法中实测井温成本高,经验法和API RP 10B反映的是一个区域的平均循环温度,现有的循环预测模型没有针对尾管固井复杂的工艺流程。为科学预测循环温度,根据尾管固井施工流程及井下传热特点建立二维温度模型,通过实测井温验证了模型具备较高的精确度,平均误差仅有1.6℃。数值模拟结果表明:对深井而言,冷浆的降温效果很小;钻井液循环阶段与尾管注水泥时刻温度变化规律不同;φ177.8mm尾管固井和φ127mm尾管固井最高循环温度系数分别为0.79和0.84,经验系数法高估循环温度。展开更多
基金This work was financially supported by the National Climbing Programme of China (No. 1999-444)the Natural Science Foundation of Tianjin (No.003805611 and 033610611) the Center of Liuhui Application Mathematics of Nankai University and Tianjin Univers
文摘Cu-Zn-Al alloy of one dimensional nano-structure was prepared and thestructure of obtained nano-material was characterized by transmission electron microscope (TEM). Itwas shown that there are non-linear oscillations on the surface of Cu-Zn-Al alloy and theconsanguineous connection exists between non-linear oscillation and the growth process of onedimensional nano-structure. The diameter of one dimensional nano-structure is about 40 nm, and theratio of length to diameter is over 40. Finally, the growth mechanism of one dimensionalnano-structure was also studied.
文摘循环温度的准确预测是保证尾管固井施工安全、提高固井质量的基本前提。目前预测方法中实测井温成本高,经验法和API RP 10B反映的是一个区域的平均循环温度,现有的循环预测模型没有针对尾管固井复杂的工艺流程。为科学预测循环温度,根据尾管固井施工流程及井下传热特点建立二维温度模型,通过实测井温验证了模型具备较高的精确度,平均误差仅有1.6℃。数值模拟结果表明:对深井而言,冷浆的降温效果很小;钻井液循环阶段与尾管注水泥时刻温度变化规律不同;φ177.8mm尾管固井和φ127mm尾管固井最高循环温度系数分别为0.79和0.84,经验系数法高估循环温度。