12 June, 2020 Tulsa Oklahoma United States Virtual

American Association of Petroleum Geologists (AAPG)

Rock Properties Modeling from 2-D Images: Making the Most of Thin Section Image Data

12 June 2020
Virtual Event


Who Should Attend
Geologists and Petrophysicists working with subsurface core and log data

To illustrate the utilization of 2-D image data and image analysis for modeling important rock properties including: absolute permeability, geomechanical properties (pore volume compressibility, peak strength), strain analysis and anisotropy, and acoustic properties.

Course Content

Course will be held via Zoom: 12 June 2020, 9:00 am4:00 pm (CDT)

Now Available for Web-Participation
Originally scheduled to take place in person at ACE 2020 in Houston, this short course will now be held separately a stand alone event and will be available for online participation only.

Any complete core analysis program should include companion thin sections for all core plugs on which measurements have been made. Quality control of core plug measurement data is facilitated by examination of a companion thin section. For example, thin section porosity from image analysis should be nearly equal to core plug measured porosity (when including a correction for microporous phase volumes). Reflected, and fluorescent light, and Raman imaging and measurements are used to estimate thermal maturity in unconventional reservoirs and to make inferences regarding organic matter type. Cathodoluminescence imaging aids in the differentiation of authigenic and detrital phases. This course will describe the use of multimodal thin section imaging and image analysis to make quantitative estimates of rock properties that are important in hydrocarbon exploration and production.

  • Quantitative Image Analysis in Thin Section: Beyond Point Counting
    • Comparison of image analysis results with standard point count data
    • Particle size distribution
      • Comparison with LPSA and standard sieve data
      • Particle size as a function of mineralogy
    • Pore body size distribution
      • Variation as a function of thin section orientation
      • Conversion of 2-D pore body size to 3-D equivalent
      • Modeling NMR T2 distributions from thin section estimates of pore body size
        • Estimates of surface relaxivity
    • Grain contact analysis
  • Implications of Image Processing Workflow
    • Handling very large images
      • Disadvantages of down-sampling
    • Porosity segmentation methodology
    • Filtering and Smoothing
    • Fractal Dimension Correction
    • Machine Learning Approaches
  • Modeling Absolute Permeability
    • Modified Carman-Kozeny model
    • Multivariate linear regression models
  • Modeling Pore Volume Compressibility
    • Influence of texture: grain size and shape
    • Influence of framework mineralogy
    • Influence of cements
    • Influence of stress history
  • Modeling Acoustic Properties of Unconsolidated Sands and Sandstones
  • Quantifying Anisotropy and Strain
  • Multimodal imaging and image analysis in unconventional reservoirs
    • Transmitted/reflected/fluorescent light
    • Laser Raman Microscopy
    • Acoustic Microscopy
Expires on
12 June, 2020
Professional Fee
Expires on
12 June, 2020
Student Fee
40 People
0.8 CEU
  • The Zoom Link for this course will be included in your Registration Confirmation. 
  • Cancellations received on or before 18 May 2020 will be refunded less a $50 processing fee
  • Refunds will not be issued after 18 May 2020 or for "no shows."
  • You may substitute one participant for another.
  • Cancellations or substitution requests should be emailed to Customer Service at customerservice@aapg.org
  • Course Materials
Technical Requirements:
  • Personal Computer
  • Internet Access
AAPG Headquarters
1444 S Boulder Avenue
Tulsa Oklahoma 74119
United States
+1 918 584 2555
Tulsa, OK - AAPG Tulsa, OK - AAPG Virtual 57028 AAPG Headquarters

Accommodation information is not yet available for this event. Please check back often.


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Michael Myers University of Houston
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Lori Hathon University of Houston
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The American Association of Petroleum Geologists (AAPG) does not endorse or recommend any products and services that may be cited, used or discussed in AAPG publications or in presentations at events associated with AAPG.