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DOI10.1306/11111616038
Resurrection of a reservoir sandstone from tomographic data using three-dimensional printing
Ishutov, Sergey1; Hasiuk, Franciszek J.1; Fullmer, Shawn M.2; Buono, Antonio S.2; Gray, Joseph N.3; Harding, Chris1
2017-09-01
发表期刊AAPG BULLETIN
ISSN0149-1423
EISSN1558-9153
出版年2017
卷号101期号:9
文章类型Article
语种英语
国家USA
英文摘要

Three-dimensional (3-D) printing provides an opportunity to build lab-testable models of reservoir rocks from tomographic data. This study combines tomography and 3-D printing to reproduce a sample of the Fontainebleau sandstone at different magnifications to test how this workflow can help characterization of transport properties at multiple scales. For this sandstone, literature analysis has given a porosity of 11%, permeability of 455 md, mean pore throat radius of 15 mm, and a mean grain size of 250 mm. Digital rock analysis of tomographic data from the same sample yielded a porosity of 13%, a permeability of 251 md, and a mean pore throat radius of 15.2 mu m. The 3-D printer available for this study was not able to reproduce the sample's pore system at its original scale. Instead, models were 3-Dprinted at 5-fold, 10-fold, and 15-fold magnifications. Mercury porosimetry performed on these 3-D models revealed differences in porosity (28%-37%) compared to the literature (11%) and to digital calculations (12.7%). Mercury may have intruded the smallest matrix pores of the printing powder and led to a greater than 50% increase in measured porosity. However, the 3-D printed models' pore throat size distribution (15 mu m) and permeability (350-443 md) match both literature data and digital rock analysis. The powder-based 3-D printing method was only able to replicate parts of the pore system (permeability and pore throats) but not the pore bodies. Other 3-D printing methods, such as resin-based stereolithography and photopolymerization, may have the potential to reproduce reservoir rock porosity more accurately.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000410656300003
WOS关键词FONTAINEBLEAU SANDSTONE ; TRANSPORT-PROPERTIES ; PORE ; PERMEABILITY ; POROSITY ; FLOW ; QUANTIFICATION ; RECONSTRUCTION ; SIMULATIONS ; PREDICTION
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/24607
专题地球科学
作者单位1.Iowa State Univ, Dept Geol & Atmospher Sci, Sci 1,2237 Osborn Dr, Ames, IA 50011 USA;
2.ExxonMobil Upstream Res Co, 22777 Springwoods Village Pkwy, Spring, TX 77389 USA;
3.Iowa State Univ, Ctr Nondestruct Evaluat, Appl Sci 2,1915 Scholl Rd, Ames, IA 50011 USA
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GB/T 7714
Ishutov, Sergey,Hasiuk, Franciszek J.,Fullmer, Shawn M.,et al. Resurrection of a reservoir sandstone from tomographic data using three-dimensional printing[J]. AAPG BULLETIN,2017,101(9).
APA Ishutov, Sergey,Hasiuk, Franciszek J.,Fullmer, Shawn M.,Buono, Antonio S.,Gray, Joseph N.,&Harding, Chris.(2017).Resurrection of a reservoir sandstone from tomographic data using three-dimensional printing.AAPG BULLETIN,101(9).
MLA Ishutov, Sergey,et al."Resurrection of a reservoir sandstone from tomographic data using three-dimensional printing".AAPG BULLETIN 101.9(2017).
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