|
|
Terahertz-dependent identification of simulated hole shapes in oil—gas reservoirs |
Ri-Ma Bao(宝日玛)1,2, Hong-Lei Zhan(詹洪磊)1,2, Xin-Yang Miao(苗昕扬)2, Kun Zhao(赵昆)1,2,3, Cheng-Jing Feng(冯程静)2, Chen Dong(董晨)2, Yi-Zhang Li(李羿璋)2, Li-Zhi Xiao(肖立志)1 |
1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China; 2 Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China University of Petroleum, Beijing 102249, China; 3 Key Laboratory of Oil and Gas Terahertz Spectroscopy and Photoelectric Detection, China Petroleum and Chemical Industry Federation (CPCIF), Beijing 100723, China |
|
|
Abstract Detecting holes in oil-gas reservoirs is vital to the evaluation of reservoir potential. The main objective of this study is to demonstrate the feasibility of identifying general micro-hole shapes, including triangular, circular, and square shapes, in oil-gas reservoirs by adopting terahertz time-domain spectroscopy (THz-TDS). We evaluate the THz absorption responses of punched silicon (Si) wafers having micro-holes with sizes of 20 μm-500 μm. Principal component analysis (PCA) is used to establish a model between THz absorbance and hole shapes. The positions of samples in three-dimensional spaces for three principal components are used to determine the differences among diverse hole shapes and the homogeneity of similar shapes. In addition, a new Si wafer with the unknown hole shapes, including triangular, circular, and square, can be qualitatively identified by combining THz-TDS and PCA. Therefore, the combination of THz-TDS with mathematical statistical methods can serve as an effective approach to the rapid identification of micro-hole shapes in oil-gas reservoirs.
|
Received: 03 February 2016
Revised: 27 May 2016
Accepted manuscript online:
|
PACS:
|
02.70.Rr
|
(General statistical methods)
|
|
78.20.Ci
|
(Optical constants (including refractive index, complex dielectric constant, absorption, reflection and transmission coefficients, emissivity))
|
|
78.30.Jw
|
(Organic compounds, polymers)
|
|
Fund: Project supported by the National Nature Science Foundation of China (Grant No. 61405259), the National Basic Research Program of China (Grant No. 2014CB744302), and the Specially Founded Program on National Key Scientific Instruments and Equipment Development, China (Grant No. 2012YQ140005). |
Corresponding Authors:
Kun Zhao
E-mail: zhk@cup.edu.cn
|
Cite this article:
Ri-Ma Bao(宝日玛), Hong-Lei Zhan(詹洪磊), Xin-Yang Miao(苗昕扬), Kun Zhao(赵昆), Cheng-Jing Feng(冯程静), Chen Dong(董晨), Yi-Zhang Li(李羿璋), Li-Zhi Xiao(肖立志) Terahertz-dependent identification of simulated hole shapes in oil—gas reservoirs 2016 Chin. Phys. B 25 100204
|
[1] |
Quintal B 2012 J. Appl. Geophys. 82 119
|
[2] |
Wang Y L, Du B Y, Dou X M, Liu J, Shi B Y, Wang D S and Tang H X 2007 Colloid. Surface A 307 16
|
[3] |
Savage P S, Georg R B, Williams H M and Halliday A N 2013 Earth. Planet. Sc. Lett. 365 221
|
[4] |
Horiuchi N and Zhang X C 2010 Nat. Photon. 4 662
|
[5] |
Lu X F and Zhang X C 2012 Phys. Rev. Lett. 108
|
[6] |
Mittleman D M 2013 Nat. Photon. 7 666
|
[7] |
Bao R M, Wu S X, Zhao K, Zheng L J and Xu C H 2013 Sci. China: Phys. Mech. Astron. 56 1603
|
[8] |
Zhan H L, Wu S X, Bao R M, Zhao K, Xiao L Z, Ge L N and Shi H J 2015 Rsc Adv. 5 14389
|
[9] |
Jiang C, Zhao K, Zhao L J, Jin W J, Yang Y P and Chen S H 2014 Energ. Fuels 28 483
|
[10] |
Jin W J, Zhao K, Yang C, Xu C H, Ni H and Chen S H 2013 Appl. Geophys. 10 506
|
[11] |
Jin W J, Li T, Zhao K and Zhao H 2013 Chin. Phys. B 22 118701
|
[12] |
Suzuki H, Hoshina H and Otani C 2014 Cryst. Growth Des. 14 4087
|
[13] |
Qin J Y, Xie L J and Ying Y B Anal. Chem. 86 11750
|
[14] |
Lloyd-Hughes J 2014 J. Phys. D: Appl. Phys. 47 374006
|
[15] |
Inagaki T, Ahmed B, Hartley I D, Tsuchikawa S and Reid M 2014 J. Infrared Millim. Te. 35 949
|
[16] |
Ge H Y, Jiang Y Y, Lian F Y, Zhang Y and Xia S H 2014 Spectrosc. Spect. Anal. 34 2897
|
[17] |
Dong C, Bao R M, Zhao K, Xu C H, Jin W J and Zhong S X 2014 Chin. Phys. B 23 127802
|
[18] |
Yan C, Yang B and Yu Z C 2014 Anal. Methods 6 248
|
[19] |
Xie L J, Yao Y and Ying Y B 2014 Appl. Spectrosc. Rev. 49 448
|
[20] |
Choi K, Hong T, Sim K I, Ha T, Park B C, Chung J H, Cho S G and Kim J H 2014 J. Appl. Phys. 115
|
[21] |
Gao R L, Yuan C X, Wang Y, Zhou Z X, Gong D W, Fang Y and Rong X W 2013 J. Appl. Phys. 114 183510
|
[22] |
Zhao Y, Hwan L J, Zhu Y, Nazari M, Chen C, Wang H, Bernussi A, Holtz M and Fan Z 2012 J. Appl. Phys. 111 053533
|
[23] |
Rivas J G, Schotsch C, Bolivar P H and Kurz H 2003 Phys. Rev. B 68 201306
|
[24] |
Shi X H, Cleary A, Khalid A and Cumming D R S 2009 Microelectron. Eng. 86 1111
|
[25] |
Azad A K, Y. Zhao Y and Zhang W 2005 Appl. Phys. Lett. 86 141102
|
[26] |
Zhan H L, Wu S X, Bao R M, Ge L N and Zhao K 2015 Fuel 143 189
|
[27] |
Dai J M, Zhang J Q, Zhang W L and Grischkowsky D 2004 J. Opt. Soc. Am. B 21 1379
|
[28] |
Hwang J, Choi N, Park A, Park J Q, Chung J H, Baek S, Cho S G, Baek J S and Choo J 2013 J. Mol. Struct. 1039 130
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|