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1)  Logging Data Communication
测井数据通信
1.
Application of Digital Signal Processor in CAN Field-bus Logging Data Communication System;
DSP在CAN总线测井数据通信系统中的应用
2)  data communication tester
数据通信测试仪
3)  well logging data
测井数据
1.
Introduced is basic principle and procedure of Hilbert-Huang Transform(HHT),discussed is application of the HHT in demarcating stratigraphic sequences based on well logging data,and put forward are method of HHT of well logging data and a new way of dividing stratigraphic sequences based on the HHT.
介绍了HHT变换(Hilbert-Huang Transform)的基本原理和步骤,探讨了测井信号HHT变换在高分辨率层序地层划分中的应用,提出对测井数据进行HHT变换,并将其处理结果用于层序划分的方法。
2.
This paper discusses applications of fractal analyses in well logging data, and particularly some related problems which are prone to causing misunderstandings and errors.
讨论了测井数据的分形分析中经常遇到而又容易产生误差的问题,特别是重标度极差分析和功率谱分析方法中的不一致性以及在分形分析中如何处理原始测井数据。
3.
The efficiency of accessing to well logging data is very important to well logging software,and the application of variable data structures to the logging software become very popular.
测井数据的高效访问直接关系到测井软件的执行效率,高效的数据结构在测井软件中的应用是数控测井软件的研究方向。
4)  log data
测井数据
1.
Such changes can be revealed by wavelet transform of log data.
准层序地层单元的分界面上物理性质变化明显,测井曲线表现为突变,测井数据小波变换能够表征这种突变。
2.
This paper proposes a neuron-fuzzy hybrid system approach to solve the problem of reservoir identification from log data.
神经模糊混合方法是通过对测井数据的学习,运用模糊逻辑与神经网络相结合的混合系统对测井数据进行提取和优化。
3.
A log data acquisition and control system base d on realtime system integration (RTSI) Bus and DMA data transfer mode is introduced.
介绍了采用实时同步总线(RTSI)和DMA数据传输模式的数控测井系统数据采集方案,包括系统深度数据采集和深度中断管理、系统深度控制脉冲和直流信号采集、编码信号采集等,与其它系统采集方案相比,该采集方案实时触发和采集过程是由硬件独立控制完成的,所有测井数据都通过DMA模式传输,真正实现了Windows环境下的测井数据的高速、实时、同步采集,尤其适用于大数据量、高速传输测井项目的实时数据采集和分析处理。
5)  well-logging data
测井数据
1.
The demarcating of stratigraphic sequence based on wavelet transform of well-logging data;
基于测井数据小波变换的层序划分
2.
Guided by sequence stratigraphy theories, this article adopts wavelet transform, fractal dimensions, principal component analysis and clustering analysis to deal with well-logging data and fully dig geological information which implies in well-logging series to serve identification and evaluation of coal-gas reservoir.
本文借助于计算机技术,以层序地层学理论作为指导,运用小波变换、分形维数、主成分分析、聚类分析等方法对测井数据进行处理,充分挖掘测井序列中所蕴含的地质信息,为煤成气储层的识别与评价服务。
6)  logging data
测井数据
1.
A lossless data compression method based on the characteristics of logging data;
一种基于测井数据特征的无损压缩方法
2.
However,the logging data are of fine continuity and high resolution.
尽管测井数据具有良好的连续性和高分辨率特性,地质科研中对测井曲线和地层层序的研究仍以观察实践为主。
3.
Due to the sensitivity of Guass wavelet to the flex points of the signal and the multi-scale analysis of the wavelet resolution,the abruptly changing points at the interface of stratigraphic sequence shown from the logging curve can be revealed clearly by Gauss wavelet transformation of logging data.
在层序地层单元的分界面上,测井曲线表现为突变,而高斯小波对信号突变点具有敏感性和多尺度分析特性,因此测井数据的高斯小波变换能够表征这种突变。
补充资料:数据通信网(见数据通信)


数据通信网(见数据通信)
data communication network

  shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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