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ACE SC 4 | Rock Properties Modeling from 2-D Images: Making the Most of Thin Section Image Data

American Association of Petroleum Geologists (AAPG)

Saturday, 6 June 2020, 9:00 a.m.–5:00 p.m.  |  Houston, Texas

short course image

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

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
$300 Professional
$100 Students
40 People
Educational Credits:
0.8 CEU
Course Material
Refreshment Breaks


ACE SC 4 | Rock Properties Modeling from 2-D Images:  Making the Most of Thin Section Image Data
George R. Brown Convention Center
1001 Avenida De Las Americas
Houston, Texas 77010
United States
(713) 853-8000



AAPG Instructor  
AAPG Instructor  
University of Houston

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Important notes regarding Field Trips and Short Courses

  • Before purchasing non-refundable airline tickets, confirm that the Field trip and/or Short course will take place as they may be cancelled if undersubscribed.
  • Please register before 22 April 2020. Field trips and/or Short courses cancellations, due to low enrollment, will be considered at this time. No refunds will be allowed after 22 April 2020.
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There are a limited number of discounted registrations available for students on a first-come, first-served basis. If a discounted space is still available, it will show up during the online registration process. If discounted spots are no longer available, you may register at the full fee; if we are able to add additional discounted spots, we will refund the difference at that time.