您要查找的是不是：
- A new neural network applied to comprehensive recognition of recognition of reservoir fluid type using geophysical well logging parameters 地球物理测井多参数综合识别储层流体类型的新型神经网络
- well logging parameters 测井参数
- Application of CPLD in Well Logging Tool. CPLD在测井仪器中的应用
- Well Log Datum Velocity Correction. 井曲线基准面校正。
- Well Log Depth to Time Conversion. 井曲线深时转换。
- A portion of a typical well log is shown below. 下面是典型测井曲线的一部分。
- The neural network we have built can be used to integrate and analyze the different kinds of well logging data to obtain the formation parameters in particular depth. 透过本研究创建的两组类神经网络为主架构，可经由灰关联分析所选定之特定电测资科做为类神经网络的输入值，预测地层特性参数。
- Parameters of rock mechanics are important for coadbed methane production and design, whose values could be attained from core trixial stress testing in lab or well logging. 岩石力学参数对煤层气的设计和开发有着重要的指导意义，其值通常是通过取心后采用实验室三轴测试或者测井方法获得。
- EMERGE is a program that analyzes well log and seismic data. EMERGE是一个分析测井曲线和地震资料的程序.
- Title： The signature recognition of comprehensive logging parameters in sedimentary microfacies of clastic reservoirs. 关键词：油田开发;碎屑岩油气藏;沉积微相;测井参数;特征识别
- The theory and method of achieving rock drillability with multi logging parameters are introduced in this paper. 介绍了利用多测井参数求取岩石可钻性的理论和方法，并给出了预测岩石可钻性的数学模型。
- Well logging evaluation methods for low permeability oil reservoirs. 低渗透储集层测井评价方法。
- This paper analyzes the relation between comprehensive logging parameters and abnormal phenomena in drilling process so as to provide a reference for computer processing. 系统地总结了综合录井参数与钻井过程工程异常情况的关系,为实现计算机处理提供了参考思路。
- By researching cored samples,9 logging parameters reflecting distinctly lithology are selected by cross plot technique,and build up lithologic sample set. 首先依据岩心取样进行岩性归类,然后通过交会图技术确定了9个对岩性反映较明显的参数,并建立起研究区域的岩性样本集。
- Well logging transcends the boundaries ordinarily established between geology, geophysics, and petroleum engineering. 测井超越了通常在地质、地球物理和石油工程中划定的界线。
- The purpose of this study is to develop a computer model combined with grey relation and two set of neural network to analyze and integrate well logging data to obtain formation parameters around the well. 摘要本研究是利用灰关联分析与两组独立类神经网路相互结合发展出一套自动选取与整合不同类型的井下电测资料，以进行地层参数预测分析的模式。
- The porosity and permeability of matrix, and the width, density and direction parameters of fractures were obtained by core analysis, well logging, seism and thin section observation methods. 利用岩心分析、测井、地震、薄片分析等静态描述手段测试并计算了基质的孔隙度和渗透率，得到裂缝的宽度、密度和方位等参数。
- Electromagnetic imaging well logging can get the real-time distribution sections of the oil, gas and water in well, and identify flow regime by image, which is followed by calculating flow parameters. 电磁流动成像测井可以实时测量油井内油、气、水在流动截面上的分布图像,进一步通过图像分析识别流体的流型,提取流动参量。
- Experimental study of rock's acoustic and electrical parameters measurements is the important content of experimental geophysics (rock physics), and is also the basis of well logging. 岩石声波测量以及岩电参数的实验研究,是实验地球物理学(岩石物理学)的重要内容,也是测井学科的基础。
- The optic fiber sensors can be applied in many fields of well logging, such as measurement of downhole parameters (multiphase, press and temperature), acoustic wave measurement and etc. 光纤传感器在测井中得到了广泛的应用。
