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1)  gas hold-up
持气率
2)  GHT
持气率计
1.
On the basis of introducing the working principle and characters of newly made Gas Holdup Tool(GHT),the usage of GHT in detecting the gas well production performance is analyzed.
在介绍新的持气率计(GHT)测量原理和特点的基础上,分析了持气率计在气井生产动态监测中主要用途,提出了综合传统密度计和新型持气率计测井资料分析井下流体性质、流动状况及判断气井载水的方法;根据载水气井不同深度段的特点,提出了载水气井的解释模型。
3)  (GHT) fullbore gas holdup tool
GHT全井眼持气率仪
4)  holdup [英]['həuldʌp]  [美]['hold,ʌp]
持率
1.
In high angle wells,calculating holdup of multiple phase flow is always a difficult technique problem,the judgment of flow regime and flow pattern is the main effect on calculating the holdup.
大斜度井中多相流持率计算一直是困绕人们的技术难题,流态及流型判定是影响持率计算的主控因素。
5)  water holdup
持水率
1.
Firstly,data of total flow rate and water holdup etc.
通过三相流实验装置模拟井下油水两相流的流动状态,利用测井仪器记录的实验数据,总结出了滑脱速度与流量和持水率之间的关系和规律,并采用指数拟合的方法对实验数据进行处理,最终得到了滑脱速度的计算方法。
2.
Application of these 10 characteristic indexes which describe features of the two-phase flow as the inputs of a RBF neural network results in an excellent prediction of water holdup of the two-phase flow within flow rate ranges of.
将这10个反映气液两相流流动特性的特征量作为径向基神经网络软测量模型的输入量,在水相流量1~10 m3/h及气相流量1~130 m3/h的范围内,较好地实现了气液两相流持水率预测,为两相流相含率测量提供了一种新的软测量途径。
3.
In the cause of development of oil field, the produced fluids profile of oil pump well usually adopts through-liquid packer-type to measure the quantity of oil and water reservoir, but the sensitivity of high water response is very low , for the water holdup tool of through-liquid is always limited by ability of capacitance in logging high water well.
在油田的开发过程中,抽油机井的产液剖面一般采用过流式集流方式测试储层的液量和含水情况,但是在高含水井测井中,由于过流式持水率仪器受电容探头性能的限制,对高含水流体响应灵敏度较低。
6)  oil retain
油保持率
1.
The effects of cold press pressure,sintering temperature and sintering time on oil reservation and oil retain were investigated;the model of predictive oil retain was designed by Back-Propagation Neural Network(BPNNN) and Radial Basis Function Neural Network(RBFNNN);training epochs and training goal of neural network were optimized with quasi-Newton method and Levenberg-Marquardt method.
以热塑性聚酰亚胺多孔材料制备工艺为研究对象,考察主要工艺参数(冷压压力、烧结温度及保温时间)对多孔材料关键指标(含油率和油保持率)的影响;采用反向传播神经网络(BPNN)和径向基神经网络(RBFNN),建立其油保持率预测模型,分别考察了Levenberg-Marquardt算法和拟牛顿算法优化网络模型的运算量和精度。
补充资料:持气率
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性质:气相占气液两相混合物的体积分率。空塔线速度是影响持气率的主要因素。在有大量液流循环的高液相流速下,持气率比较重要,当液相空塔流速小于3cm/s时,持气率的影响可忽略不计。

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