全国最大的快3平台-全国快3信誉最好的老平台

全国最大的快3平台-全国快3信誉最好的老平台

TechStat | 全国快3信誉最好的老平台-全国最大的快3平台

Techlog TechStat

综合探索性数据分析. Enables you to review your data to find similarities between wells, 对井进行分组 并使用高斯分析对齐数据响应. Visualization tools aid with the analysis of results e.g. 决策树等.

蓝色斯伦贝谢纹理
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Overview

分层聚类

The Techstat module within the Techlog wellbore software platform allows you to comprehensively review your well data.

  • 找出井间的相似之处.
  • 将油井组合在一起.
  • Align data responses using sophisticated Gaussian analysis, group-by-group among wells.
  • 在树形图中显示结果.
Routine and special core data displayed at log scale (left), and 扩大ed scale photographs revealing full details (right).
A PHI versus K cross plot with Winland calibration lines and power function regressions.
An example of Capillary Pressure closure correction in Techcore module.
Saturation versus pressure from MICP data performed within the TechCore module.
Applications

决策树

When inputs comprise mixed or incomplete variables (qualitative and quantitative), 可以使用功能强大的分类器. 输入可以根据它们的信息增益进行排序, while deduced rules help you understand the input data.

Benefits

回归

The Teschstat module enables a variety of regressions:

  • Linear (RMA, Major Axis, x/y, and y/x), nonlinear, and polynomial algorithms are available.
  • Regression and other fit lines and functions may be created and conditioned on filters, 分带, 逐井, 或多层.
  • Fit lines may be calculated for user-defined subsets of data using the data selection tools and the interactivity between viewers.
  • 回归 can be freely calculated or forced through a fixed point on a plot.
  • User-defined equations can be input graphically or by keyboard entry.
Techlog TechStat
Specific processing tasks can be performed, such as pore throat distribution from MICP data.
Features

因子分析

  • Principal component analysis (PCA)—summarizes data, separating the dominating features in the dataset.
  • Linear discriminant analysis (LDA)—determines the best projection space to discriminate between two or more naturally occurring groups and clarifies subsequent cluster analysis.
  • Multiple correspondence analysis (MCA)—compares qualitative variables that may either be of similar type (observed versus predicted curves) or dissimilar type (geology versus petrophysics).
Training
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NExT技术Training课程

NExT offers a comprehensive training program to support users of the 全国快3信誉最好的老平台 software, 插件, 以及其他软件产品.

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