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Book ChapterDOI

5 Microfabrics Related to Porosity Development, Sedimentary and Diagenetic Processes, and Composition of Unconventional Resource Shale Reservoirs as Determined by Conventional Scanning Electron Microscopy

Roger M. Slatt, +1 more
- pp 37-44
TLDR
In this paper, the authors describe and illustrate features of shales and mudstones at the nanometer and micrometer scales using standard scanning electron microscopy (SEM) and FEM techniques.
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Journal ArticleDOI

A multidisciplinary approach in determining the maceral (kerogen type) and mineralogical composition of Upper Cretaceous Eagle Ford Formation: Impact on pore development and pore size distribution

TL;DR: In this paper, a multidisciplinary approach was implemented to analyze 26 core samples from a single producing well that completed within the Eagle Ford Formation, Karnes County, Texas was investigated, including organic petrology, organic geochemistry, light and electron microscopy, pore size distribution analyses and X-ray diffraction.
Journal ArticleDOI

The pore structural evolution of the Marcellus and Mahantango shales, Appalachian Basin

TL;DR: In this paper, the pore system is composed of organic matter-hosted pore and mineral-hosting pore, which is the porosity associated with organic matter commonly observed under scanning electron microscope (SEM).
Journal ArticleDOI

Significance of stable carbon isotope trends in carbonate concretions formed in association with anaerobic oxidation of methane (AOM), Middle and Upper Devonian shale succession, western New York State, USA

TL;DR: In this article, the authors investigated carbonate concretions in the Middle and Upper Devonian Marcellus Formation of western New York State. But they found that only 75% of the carbonate-concrete concretizations are characterized by center-to-edge profiles of increasing bulk δ13C.
Journal ArticleDOI

An efficient, consistent, and trackable method to quantify organic matter–hosted porosity from ion-milled scanning electron microscope images of mudrock gas reservoirs

TL;DR: In this paper, an efficient and consistent workflow using adaptive local thresholding, Otsu thresholding and image calculator is presented to quantify pore space and organic matter (OM) from two-dimensional scanning electron microscope (SEM) images.
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