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Improved Methods for Determination of Petrophysical Properties of Unconventional Tight Rocks Using Particulate

Archana Jagadisan¹, Jin-Hong Chen¹, Stacey M Althaus¹

¹Aramco Service Company, Aramco Research Center-Houston, 16300 Park Row, Houston, Texas 77084, United States.

|March 30, 2022

Summary

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This study enhances petrophysical data acquisition from drill cuttings using improved saturation methods. Pressure injection alongside sonication provides accurate porosity and density measurements for organic-rich mudrocks, enabling cost-effective formation evaluation.

Area of Science:

Geoscience
Petroleum Engineering
Analytical Chemistry

Background:

Drill cuttings offer continuous subsurface data crucial for formation evaluation.
Traditional methods for obtaining petrophysical data are often costly and time-consuming.
Organic-rich mudrocks present unique challenges for accurate petrophysical analysis.

Purpose of the Study:

To refine petrophysical property determination from drill cuttings using enhanced saturation techniques.
To validate the accuracy of Nuclear Magnetic Resonance (NMR) and Archimedes principle on processed drill cuttings.
To assess the cost-effectiveness and real-time applicability of this method for reservoir characterization.

Main Methods:

Utilized drill cuttings from organic-rich mudrock formations.

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Employed Nuclear Magnetic Resonance (NMR) and Archimedes principle for measurements.

Implemented an improved sample saturation method combining sonication and pressure injection.

Compared results against established laboratory measurement techniques.

Main Results:

The enhanced pressure injection saturation method yields accurate petrophysical data (porosity, bulk density, matrix density).
Results obtained from drill cuttings closely correlate with accepted laboratory measurements.
The refined technique demonstrates reliability for analyzing challenging mudrock formations.

Conclusions:

Accurate petrophysical data can be reliably obtained from drill cuttings using the improved saturation technique.
This method provides continuous, quasi-real-time formation evaluation data.
Significant cost reductions in exploration and development are achievable by minimizing expensive logging operations.