The Saturation Height module

Interactive Petrophysics Statistical Analysis module banner

Saturation Height Analysis

The Saturation Height Modelling modules enable the IPTM user to create Saturation versus height functions from either capillary pressure (Pc) data or from calculated water saturation curves, or a combination of both approaches.

There are four interrelated modules:

  • Capillary Pressure Setup
  • Capillary Pressure Functions
  • Saturation versus Height Curves
  • Log Sw versus Height Functions

The Capillary Pressure Set-up module is used to:

  • set-up the study wells and input Pc and saturation curves to use
  • convert Pc data from different measurement techniques to a common 2 phase system
  • optionally stress-correct and /or apply a Clay-bound water correction to the Pc data
  • visualise raw and corrected Pc Curve data and quality check the data
  • edit bad data points from the Pc dataset

The Capillary Pressure Functions module allows the user to find a function or set of functions to represent the quality checked and corrected Pc data using two basic methods:

  • 1. 'One Equation for all Pc curves' option - Find a single equation which fits all (or a subset) of the data using one six basic functions, e.g. Leverett-J Function.
  • 2. 'Separate equation for each Pc curve' option - Fit each individual Pc curve and then combine the parameters into a 'Combined equation' using of three basic function types, e.g. Lambda Function.

Discriminators can be applied to allow for functions to be generated for specific data, e.g. for a particular porosity range or litho-type.

The Saturation Versus Height Curves module is used to apply the derived functions to multiple wells and zones

Changes in fluid density can be fully accounted for, e.g. a simple gas cap or a more complicated oil compositional gradient, as long as the contacts and densities are known.

The Log Sw versus Height Functions module is used to generate Water Saturation (Sw) versus Height functions from interpreted log saturation and optional porosity and permeability data. Over 30 different functions are available. 'Discriminator' logic can be used to select the data. Different functions can be developed for each unit in a reservoir.

Well plot

Crossplots showing results.

Well plot

To help speed up the process the 'Regression Function Comparator' runs through all the models giving each a rating.

Well plot

The resulting models can be visualised with a variety of QC crossplots

Well plot

The module can also be used to calculate a ‘best fit’ for the ‘Free Water Level' or 'IFT correction factor'

Well plot

Plot shows that the biggest influence on the average pay porosity in zone one is the Vcl cutoff. Parameters like ‘DTLN’ and ‘Res Clay’ have no influence on the results.