Multiple correspondence analysis (MCA)-compares qualitative variables that may either be of similar type (observed versus predicted curves) or dissimilar type (geology versus petrophysics).

Linear discriminant analysis (LDA)-determines the best projection space to discriminate between two or more naturally occurring groups and clarifies subsequent cluster analysis.

Principal component analysis (PCA)-summarizes data, separating the dominating features in the dataset.

User-defined equations can be input graphically or by keyboard entry.

Regressions can be freely calculated or forced through a fixed point on a plot.

Fit lines may be calculated for user-defined subsets of data using the data selection tools and the interactivity between viewers.

Regression and other fit lines and functions may be created and conditioned on filters, zonation, well-by-well, or multiwall.

Linear (RMA, Major Axis, x/y, and y/x), nonlinear, and polynomial algorithms are available.

The Teschstat module enables a variety of regressions: Inputs can be ranked by their information gain, while deduced rules help you understand the input data.

Export of equations to reservoir modeling software.When inputs comprise mixed or incomplete variables (qualitative and quantitative), powerful classifiers can be used.

FWL estimation, single-well, multi-well, or by hydraulic zone.

The quality control inspector job role involves. They also ensure that manufactured products meet the specified quality standards set by the organization before being sent to customers.

Saturation-height function in log domain. A Quality Control Inspector monitors the quality aspects of incoming raw materials to the organization and the products that are ready to be shipped.

Parametric variation with formation properties and rock types.

Characterizing parameters sample-by-sample.Models can be optimized to fully reconcile log and core data using an integrated solver. Model applicationĬapillary pressure models can be easily saved, and direct graphical and quantitative comparisons made against log derived results. The coefficients can be set to be functions of the formation parameters or to be constants, and instant comparison against “standard” models can be made for rock typing. The coefficient values can be automatically correlated against formation properties-such as φ, sqrt(K/φ), and K-using different fit criteria (linear, logarithmic, exponential, power, and average). Each functional solution has three coefficients. There are four common functions available within the SHM module: Brooks-Corey, Lambda, Thomeer, and Leverett-J function.

Techlog functions