2015
DOI: 10.1190/int-2014-0266.1
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3D printing sandstone porosity models

Abstract: The petroleum industry requires new technologies to improve the economics of exploration and production. Digital rock physics is a methodology that seeks to revolutionize reservoir characterization, an essential step in reservoir assessment, using computational methods. A combination of X-ray computed microtomography, digital pore network modeling, and 3D printing technology represents a novel workflow for transferring digital rock models into tangible samples that can be manufactured in a variety of materials… Show more

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Cited by 75 publications
(24 citation statements)
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References 11 publications
(21 reference statements)
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“…Ishutov et al . [] and Head and Vanorio [] created porous samples to measure petrophysical properties. They created samples by using CT scan images of real rock samples, which can reproduce the same geometries as the specific rock sample at the core scale.…”
Section: Introductionmentioning
confidence: 99%
“…Ishutov et al . [] and Head and Vanorio [] created porous samples to measure petrophysical properties. They created samples by using CT scan images of real rock samples, which can reproduce the same geometries as the specific rock sample at the core scale.…”
Section: Introductionmentioning
confidence: 99%
“…Currently 3D printers can build proxies near the scale of the coarsest natural reservoir rocks (e.g., Ishutov et al, 2015;Head and Vanorio, 2016;Sukop et al, 2016;Ishutov et al, 2017b).…”
Section: Introductionmentioning
confidence: 99%
“…While previous studies have attempted to "photocopy" natural porous rocks using CT (Ishutov and Hasiuk, 2014;Ishutov et al, 2015), no validation methods were established for 3D printing geologically relevant pore networks. For example, no methods exist for describing the accuracy or resolution of a 3D printer with respect to complex porous models.…”
Section: Introductionmentioning
confidence: 99%
“…We present an improved system for generating physical models of porous rocks (referred herein as "proxies," Ishutov et al 2017a) that involves digital modeling, 3D printing, post-processing, and validation. Iterations of this workflow were developed in previous studies (Ishutov et al 2015(Ishutov et al , 2017a(Ishutov et al , 2017b, but post-processing and validation were not clearly defined in those studies as significant steps and were carried out by vendors with no clear control on procedures. Ishutov et al (2017b) involved 3D printing of Fontainebleau sandstone proxies from the same tomographic volume (Lindquist et al 2000) used in this study (13% porosity and 30-μm effective pore throat diameters).…”
Section: Introductionmentioning
confidence: 99%