| DOI: | 10.1306/03021514121
|
| Scopus记录号: | 2-s2.0-84938785418
|
| 论文题名: | Hyperspectral imaging for the determination of bitumen content in Athabasca oil sands core samples |
| 作者: | Speta M.; Rivard B.; Feng J.; Lipsett M.; Gingras M.
|
| 刊名: | AAPG Bulletin
|
| ISSN: | 0149-1513
|
| EISSN: | 1558-9243
|
| 出版年: | 2015
|
| 发表日期: | 2015
|
| 卷: | 99, 期:7 | | 起始页码: | 1245
|
| 结束页码: | 1259
|
| 语种: | 英语
|
| Scopus关键词: | Bituminous materials
; Oil fields
; Oil sands
; Petroleum reservoir engineering
; Reflection
; Remote sensing
; Spectroscopy
; Surface roughness
; Athabasca oil sands
; Content determination
; Economic recovery
; Hyperspectral Imaging
; Hyperspectral models
; Potential sources
; Reflectance spectroscopy
; Remote sensing techniques
; Core samples
; bitumen
; comparative study
; core analysis
; digital image
; error analysis
; laboratory method
; oil sand
; pixel
; quantitative analysis
; recovery
; remote sensing
; reservoir
; spectral analysis
; Alberta
; Athabasca
; Canada
|
| Scopus学科分类: | Energy
; Earth and Planetary Sciences
|
| 英文摘要: | Ore grade is one of the primary variables controlling the economic recovery of bitumen from oil sands reservoirs, hence there is a need for fast and reliable quantification of total bitumen content (TBC). This is typically achieved through laboratory-based Dean-Stark analyses of drill core samples. However, this method is time and labor intensive and destructive to the core sample. Hyperspectral imaging is a remote sensing technique that can be defined as reflectance spectroscopy with a spatial context, where high-resolution digital imagery (~1 mm/pixel [0.04 in./pixel]) is acquired and reflectance measurements are collected in each pixel of the image. This study compares two hyperspectral models for the determination of TBC from imagery of both fresh and dry core samples. For three out of four suites of fresh core, TBC was predicted within ±1.5 wt. % of the Dean-Stark data with both spectral models achieving correlations of R2 > 0.97. For a fourth fresh core and the dry core, larger margins of error were found because of some instances of overestimation. Surface roughness because of uneven oil distribution and small-scale fracturing is a potential source of error in some of the spectral TBC results, particularly for the dry core. Producing results within minutes with the additional benefit of being nondestructive to the core sample, hyperspectral imaging shows great potential to become a viable alternative method for bitumen content determination in oil sands. Copyright ©. The American Association of Petroleum Geologists. All rights reserved. |
| URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938785418&doi=10.1306%2f03021514121&partnerID=40&md5=1b0baaf0b97182be8e059e71abd6a16a
|
| Citation statistics: |
|
| 资源类型: | 期刊论文
|
| 标识符: | http://119.78.100.158/handle/2HF3EXSE/13084
|
| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
|
|
There are no files associated with this item.
|
| Recommended Citation: | |
Speta M.,Rivard B.,Feng J.,et al. Hyperspectral imaging for the determination of bitumen content in Athabasca oil sands core samples[J]. AAPG Bulletin,2015-01-01,99(7)
|
|
|