Any complete core analysis program should include companion thin sections for all core plugs on which measurements have been made. 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.
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
- SEM: SE/BSE/EDS/CL
- Transmitted/reflected/fluorescent light
- Laser Raman Microscopy
- Acoustic Microscopy