WORKFLOW: RSERVOIR CHARACTERIZATION
Rock Typing Using SCAL Data: Mercury Injection Capillary Pressure and Relative Permeability Data


The above workflow represent the process through which MICP and other data can be used in order to generate Rock Types.

The workflow includes the following steps:

  • Curve Representation using Intelligent Compression Technology.
    • Reservoir Dependent Technique.
    • Must accurately reproduce the original Capillary Pressure and Relative Permeability Curves.

      ISI's curve representation algorithms reproduces Pc and Relative Permeability curves with accuracy.

  • Rock Typing with State-of-the-Art Classification Algorithms, using Advance AI&DM Techniques (Self Organizing, Reinforced and Supervised Cluster Analysis ).

ISI's workflow provides three different techniques for Rock Typing. You may use any of these techniques (or a combination of them) in order to perform the task. These techniques are:

  1. Self Organizing Cluster Analysis:
    Let IDEA™ Select the Rock Types.
  2. Reinforced Cluster Analysis:
    Domain Expert Observes and Influences IDEA™’s Rock Type Selection.
  3. Supervised Cluster Analysis:
    IDEA™ is trained to reproduce Domain Expert’s Rock Type Selections.

Furthermore, ISI's workflow provides two possible Rock Typing Schemes. These schemes are:

  1. Crisp Cluster Analysis:
    Rock Types do not overlap.
  2. Fuzzy Cluster Analysis:
    Overlaping Rock Types.


ISI's workflow allows overlapping and non-overlapping Rock Types.



An overview of techniques offered by ISI as Rock Typing workflow.



Overlaping Rock Types in a Porosity-Permeability cross plot. A naturally fractured carbonate reservoir.



Capillary Presure curves for Rock Type Number 1.



Capillary Presure curves for Rock Type Number 2.



Capillary Presure curves for Rock Type Number 3.



Capillary Presure curves for Rock Type Number 4.


REFERENCES
Intelligent Data Evaluation & Analysis; IDEA™







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