Correlative Multiscale Imaging of Mancos Shale
- Jan Goral (Department of Chemical Engineering, University of Utah) | Milind Deo (Department of Chemical Engineering, University of Utah) | Matthew Andrew (Carl Zeiss X-Ray Microscopy)
- Document ID
- International Petroleum Technology Conference
- International Petroleum Technology Conference, 26-28 March, Beijing, China
- Publication Date
- Document Type
- Conference Paper
- 2019. International Petroleum Technology Conference
- 1.6 Drilling Operations, 4.3.4 Scale, 5.5.2 Core Analysis, 5.8.2 Shale Gas, 1.6.9 Coring, Fishing
- Mancos, Imaging, Shale
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Mudstone (shale) reservoir evaluation and efficient development poses a significant challenge due to the heterogeneous nature of these complex formations. Organic-rich shales are characterized by intricate mineralogy, ultra-low nanoporosity, and nano-darcy permeability making these tight source/reservoir rocks challenging in obtaining economically viable hydrocarbons. Consequently, characterizing and quantifying minerology and intra-/interparticle (non)organic-hosted porosity at the pore-scale, and up-scaling it to the core-scale remains a significant focus of evaluating reservoir quality in shale plays.
Current advances in correlative multi-scale and multi-modal 2D/3D imaging of nanoporous geomaterials, such as shales, provide a tremendous opportunity to characterize and represent these rocks over multiple length scales – from core-to pore-scale. Subsequently, these image datasets can be then used for advanced image analysis and digital rock modeling to reconstruct 2D/3D models used to analyze their petrophysical properties.
In this study, the Mancos Shale from the Uinta Basin – one of the most promising shale plays in the United States (Hawkins et al. 2016) – was characterized from centimeter-to nanometer-scale via digital rock analysis using correlative micro 3D X-ray computed tomography (micro-CT), micro 3D X-ray microscopy (micro-XRM), light microscopy (LM) mosaic map, scanning electron microscopy (SEM) mosaic map, and focused ion beam (FIB) – SEM (FIB-SEM) nano-tomography image datasets. These multi-resolution and multi-dimensional image datasets, were then registered with each other, and used to reconstruct digital rock 2D/3D models from which shale petrophysical properties such as lithology, mineralogy, and porosity were extracted. Additionally, the imaged mineralogy and porosity results were compared with traditional laboratory experimental data, such as XRD and helium porosity measurements.
|File Size||2 MB||Number of Pages||13|
Goral, Jan, and Ilija Miskovic. "A workflow for multi-scale modeling and simulation of transport phenomena in Woodford shale rock matrix." In Unconventional Resources Technology Conference, San Antonio, Texas, 20-22 July 2015, pp. 1575-1582. Society of Exploration Geophysicists, American Association of Petroleum Geologists, Society of Petroleum Engineers, 2015.
Hawkins, Sara J., Ronald R. Charpentier, Christopher J. Schenk, Heidi M. Leathers-Miller, Timothy R. Klett, Michael E. Brownfield, Tom M. Finn, Stephanie B. Gaswirth, Kristen R. Marra, Phuong A. Le, Tracey J. Mercier, Janet K. Pitman, and Marilyn E. Tennyson. "Assessment of continuous (unconventional) oil and gas resources in the Late Cretaceous Mancos Shale of the Piceance Basin, Uinta-Piceance Province, Colorado and Utah, 2016." U.S. Geological Survey Fact Sheet 2016-3030 (2016).
Ma, Lin, Kevin G. Taylor, Patrick J. Dowey, Loic Courtois, Ali Gholinia, and Peter D. Lee. "Multi-scale 3D characterization of porosity and organic matter in shales with variable TOC content and thermal maturity: Examples from the Lublin and Baltic Basins, Poland and Lithuania." International Journal of Coal Geology 180 (2017): 100-112.