Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1306/03291817217 |
Inferring total organic carbon and major element geochemical and mineralogical characteristics of shale core from hyperspectral imagery | |
Rivard, B.; Harris, N. B.; Feng, J.; Dong, T. | |
2018-10-01 | |
发表期刊 | AAPG BULLETIN |
ISSN | 0149-1423 |
EISSN | 1558-9153 |
出版年 | 2018 |
卷号 | 102期号:10页码:2101-2121 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | mineralogical information at the millimeter scale and thus have the potential to enable investigators to characterize shale composition and heterogeneity, complementing the direct chemical and x-ray diffraction analysis of core samples and guiding detailed sampling. This method provides insight into petrophysical and geomechanical properties because these properties are significantly correlated to rock composition. We tested this approach on a continuous long core from the shale sequence of the Horn River Group in the Horn River Basin, British Columbia, sampled at a spacing of 1 m (40 in.) and analyzed for geochemical composition. These data enable the calibration of spectral imagery to rock composition and specifically predict total organic carbon (TOC) and the abundance of SiO2, Al2O3, K2O, and CaO. We then imaged nine samples from the Woodford Shale from the Permian Basin, Texas, for a blind test to assess the predictive models. The models were then used to predict TOC and geochemical data over detailed imagery of 300 m (984 ft) of Horn River Group shale core and portray their spatial variability downhole as images and profiles. In its simplest form, hyperspectral imagery can be enhanced to highlight fabric in shale core that otherwise is difficult to visualize because of low brightness. In addition, we show that spectral imagery of shale can also be processed to either convey mineralogical (quartz, clay, and carbonate) or geochemical information. The resulting views can readily be used to guide the selection of samples and may provide tools for scaling reservoir properties from individual plugs to reservoir volumes. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000447260300008 |
WOS关键词 | INFRARED REFLECTANCE SPECTROSCOPY ; DEVONIAN WOODFORD SHALE ; DAM IOCG DEPOSIT ; DRILL CORE ; MU-M ; EMISSION-SPECTROSCOPY ; PERMIAN BASIN ; CHEMISTRY ; IMPACT ; MODEL |
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/24387 |
专题 | 地球科学 |
作者单位 | Univ Alberta, Dept Earth & Atmospher Sci, 1-26 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada |
推荐引用方式 GB/T 7714 | Rivard, B.,Harris, N. B.,Feng, J.,et al. Inferring total organic carbon and major element geochemical and mineralogical characteristics of shale core from hyperspectral imagery[J]. AAPG BULLETIN,2018,102(10):2101-2121. |
APA | Rivard, B.,Harris, N. B.,Feng, J.,&Dong, T..(2018).Inferring total organic carbon and major element geochemical and mineralogical characteristics of shale core from hyperspectral imagery.AAPG BULLETIN,102(10),2101-2121. |
MLA | Rivard, B.,et al."Inferring total organic carbon and major element geochemical and mineralogical characteristics of shale core from hyperspectral imagery".AAPG BULLETIN 102.10(2018):2101-2121. |
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