Abstract

In this paper nuclear techniques were used to describe the structural characteristics of ceramic samples. These samples were produced mainly with silica to simulate sandstones. Three sets of samples with different characteristics were analyzed using gamma ray transmission to obtain point by point porosity and X-ray microtomography to obtain the porosity, for 2D sections and the scanned bulk, as well as the pore size distribution. The transmission results indicated total porosity values of 28.6 (4.5)% for the group of samples called ceramic I and 59.6 (2.1)% for ceramic II. The samples analyzed by microtomography achieved resolutions of 1.7, 0.6 and 1.3 μm for the ceramic I, II, and III samples, respectively. This analysis indicated average porosity values of 27.9 (1.4)% for ceramic I samples and 29.4 (1.2)% for ceramic III samples.

Highlights

  • Petroleum is currently the main power source, and it is used to provide several products, such as oil, diesel, gas, tar, plastic polymers and drugs

  • In this paper gamma ray transmission and X-ray microtomography techniques were used to carry out the structural analysis of ceramic samples

  • Parallel results for a nylon thread sample show the capacity of the X-ray microtomography to reconstruct 2D images as well as to quantify the structural parameters of porous materials such as ceramic samples

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Summary

Introduction

Petroleum is currently the main power source, and it is used to provide several products, such as oil, diesel, gas, tar, plastic polymers and drugs. Petroleum and natural gas can be found underground, mainly in sedimentary bases in porous media known as reservoir rocks. During the perforation of a reservoir rock research is carried out to investigate potential accumulative structures, which involves porosity, permeability, saturation and capillarity studies[1,2,3]. Obtaining samples for this kind of research entails high costs. It is possible to determine the microstructural parameters from 2D images by optical microscopy or scanning electron microscopy These data are not necessarily representative of the bulk material[3].

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