Abstract

The complexity of unconventional rock systems is expressed both in the compositional variance of the microstructure and the extensive heterogeneity of the pore space. Visualizing and quantifying the microstructure of oil shale before and after pyrolysis permits a more accurate determination of petrophysical properties which are important in modeling hydrocarbon production potential. We characterize the microstructural heterogeneity of oil shale using X-ray micro-tomography (µCT), automated ultra-high resolution scanning electron microscopy (SEM), MAPS Mineralogy (Modular Automated Processing System) and Focused Ion Beam Scanning Electron Microscopy (FIB-SEM). The organic-rich Eocene Green River (Mahogany zone) oil shale is characterized using a multi-scale multi-dimensional workflow both before and after pyrolysis. Observations in 2-D and 3-D and across nm-µm-mm length scales demonstrate both heterogeneity and anisotropy at every scale. Image acquisition and analysis using µCT and SEM reveal a microstructure of alternating kerogen-rich laminations interbedded with layers of fine-grained inorganic minerals. MAPS Mineralogy combined with ultrafast measurements reveal mineralogic textures dominated by dolomite, calcite, K-feldspar, quartz, pyrite and illitic clays along with their spatial distribution, augmenting conventional mineral analysis. From high resolution Backscattered electron (BSE) images, intra-organic, inter-organic-mineral, intra- and inter-mineral pores are observed with varying sizes and geometries. By using FIB milling and SEM imaging sequentially and repetitively, 3-D data sets were reconstructed. By setting 3-D gradient and marker-based watershed transforms, the organic matter, minerals and pore phases (including pore-back artifacts) were segmented and visualized and the pore-size distribution was computed. Following pyrolysis, fractures from the mm-to-µm scales were observed with preferential propagation along the kerogen-rich laminations and coalescence leading to an interconnected fracture network. The application of these techniques to worldwide oil shale deposits will allow significant insights into estimating mechanical and chemical proprieties of oil shale formations for modeling and designing oil shale pyrolysis processes.

Highlights

  • Global energy demand is set to rise spectacularly in the coming decades as a result of population growth and economic development [1,2,3]

  • Previous work has characterized the bulk properties for the Green River oil shale formation including mineralogy (XRD), total organic carbon (TOC), thermal maturity (Rock-Eval Pyrolysis), elemental analysis (CHNOS) and oil yield (Fischer Assay) [10,11,12,13,14,15,16]

  • A process which involves heating in the absence of oxygen, breaks down the complex kerogen network structure to produce shale oil and natural gas [20,21,22]

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Summary

Introduction

Global energy demand is set to rise spectacularly in the coming decades as a result of population growth and economic development [1,2,3]. Heterogeneity within oil shale formations exists across multiple length scales due to complex sedimentary and diagenetic processes [23,50,51,52] This heterogeneity renders oil shale rocks difficult to characterize petrophysically (organic matter type and distribution, mineral composition, pore volume, pore size distribution, geometry and connectivity) and limits our ability to distribute these properties in oil shale pyrolysis models. To visualize and quantify the pores, inorganic mineral grains, organic matter (kerogen) and fine clay structures within oil shale, an imaging technique that resolves features from the optical regime down to the nanometer scale is required. This multi-scale multi-dimensional workflow provides a valuable approach in integrating microstructural and mineralogical oil shale data with exceptional fidelity

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