The result shows that the method can be used to effectively identify reservoir and fluid.
结果表明，利用该方法能有效识别储层和流体。
Therefore, resistivity logs have long been used by reservoir geologists and engineers to identify rock types, describe the variations of pore fluid and determine well completion characteristics.
因此，长期以来油藏地质学家和工程师一直把电阻率测井用于识别岩石类型，描绘孔隙流体变化和确定完井特征。
On the one hand, it is is very complex and difficult to identify fluid type of fracture reservoir because of its complex lithology, various reservoir types and heterogeneity.
一方面裂缝性储层具有岩性复杂、储集类型多样、物性变化大和非均质性强等特点，因而其测井解释和流体类型识别要复杂和困难得多。
In this paper, frequency spectrum of downhole noise signal is analyzed, and the spectrum information extracted is used to identify the types of downhole fluid.
文中对井下噪声信号进行频谱分析，用噪声信号中的频谱信息来识别井下流体类型。
Low porosity and high heterogeneity in carbonate reservoir make the conventional logging method invalid which USES the resistivity to identify fluid property.
碳酸盐岩储层由于其孔隙度低、非均质性强等原因，使得以电阻率高低来识别储层流体性质的常规方法失效。
Analysis of some practical examples show that it is more useful to identify the fluid properties of reservoir by dual induction log than by dual lateral log under the condition of fresh mud.
通过实例分析可知，在使用淡水泥浆条件下，双感应测井比双侧向测井更有利于识别储层的流体性质。
The verification process helps identify potential incompatibilities between the reservoir and the fluid chemistry or completion process and confirms performance capabilities.
该验证过程可以帮助技术人员识别油藏与流体化学性质或完井过程之间可能存在的不兼容性。
In this paper, we offer the theories of hide periods and covariance matrix and use them to identify the fluid property of reservoir.
本文还介绍了隐周期和协方差阵理论以及用它们来分析测井信号。
The method was proposed to compute the rock modulus when one kind of pore fluid changed to another, and to identify the pore fluids by the use of poroelastic modulus.
提出孔隙流体变化时岩石有效模量的计算，及利用孔隙弹性模量辨别储层中不同流体类型的计算方法。
Geological features, mineralizing periods, fluid inclusions and s, H, o isotope compositions are discussed to identify ore-forming source and temperature.
通过对矿床地质特征、成矿期次及硫、氢、氧同位素组成和流体包裹体测温研究，讨论了成矿流体的来源及矿床形成的温度。
In this paper we propose a novel leakage fault detection and diagnosis method, using dynamic simulation to monitor the fluid flow process and identify leakages when large flow rate deviations occur.
诊断过程通过动态模型的在线参数估计完成，在实现模型校正的同时可以预测流动过程的变化趋势并判断是否存在故障。
In this paper we propose a novel leakage fault detection and diagnosis method, using dynamic simulation to monitor the fluid flow process and identify leakages when large flow rate deviations occur.
诊断过程通过动态模型的在线参数估计完成，在实现模型校正的同时可以预测流动过程的变化趋势并判断是否存在故障。
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