Characterizing of Oil Shale Pyrolysis Process with ... - ACS Publications

Aug 17, 2016 - 2014CB744302), and the Excellent Young Teachers Program of China ..... Algermissen , S. T. Evaluating Oil Shale by Log Analysis JPT, J...
0 downloads 0 Views 553KB Size
Subscriber access provided by Arizona State University Libraries

Article

Characterizing of oil shale pyrolysis process with laser ultrasonic detection ZhiQing Lu, Xiaoquan Hai, Jianxin Wei, and Rima Bao Energy Fuels, Just Accepted Manuscript • DOI: 10.1021/acs.energyfuels.6b01590 • Publication Date (Web): 17 Aug 2016 Downloaded from http://pubs.acs.org on August 17, 2016

Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a free service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are accessible to all readers and citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.

Energy & Fuels is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.

Page 1 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

1

Characterizing of oil shale pyrolysis process with laser

2

ultrasonic detection

3

Zhi Q. Lu,a, b, *, Xiao Q. Haia, b, Jian X. Weia, Ri M. Baob

4

a

5

Petroleum, Beijing 102249, China

6

b

7

University of Petroleum, Beijing 102249, China

8

Abstract

State Key Laboratory of Petroleum Resources and Prospecting, China University of

Beijing Key Laboratory of Optical Detection Technology for Oil and Gas, China

9

Laser ultrasonic was proposed to characterize the porolysis process of the oil

10

shale. The ultrasonic velocity was produced by a non-contact all-optical method in the

11

three regions of Barkol, Yaojie, and Longkou of China. It was found that the

12

ultrasonic velocity was related with the pyrolysis temperature of the oil shale. The

13

pyrolysis process was divided into three stages due to the ultrasonic propagation

14

speed in the oil shale. The ultrasonic velocity had small changes from 20 °C to 320 °C

15

in the first stage, and a sharp decline between 320 °C and 470 °C in the second stage,

16

until another small change above 470 °C in the third stage. The variation of the

17

velocity was qualitatively explained, which was considered to be closely related with

18

the characteristics of pyrolysis process in oil shale. An empirical equation of the

19

velocity attenuation equation was proposed to estimate the beginning and the end of

20

the decomposition of the kerogen. It is a new way to characterize the process of the

21

pyrolysis of oil shale by using the laser ultrasonic.

22 23 24

■ INTRODUCTION Oil shale, a sedimentary rock considered as a predominant alternative source 1

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

25

for alleviating the pressure of petroleum supplies, contains minerals, kerogen, and

26

bitumen.1 Oil shale has been used for retorting to yield shale oil and burning directly

27

as a fuel to generate electricity or heat for many years. Kerogen is considered as the

28

main organic matter in oil shale yielding a significant amount of oil through pyrolysis,

29

which is one kind of oil shale thermochemical conversion technologies, involving the

30

thermal degradation of virgin material resulting in the production of gas, liquid and

31

solid.2 For exploring the optimal operate conditions, many researchers have embarked

32

on the process of pyrolysis of oil shale, and many works have been done about the

33

influences of major parameters including the pyrolysis temperature, heating rate,

34

residence time, pyrolysis atmosphere, operating pressure, as well as the particle size,

35

density, and inorganic matter content of oil shale.3-17 Thermal analysis is commonly

36

employed in the process of pyrolysis of oil shale, which focus on the thermodynamic

37

parameters or physical parameters change with temperature.18 For example,

38

thermogravimetry is used to assess the mass loss of a sample as a function of

39

temperature or time.19 Differential thermal analysis and differential scanning

40

calorimetry are used to characterize fossil fuels during pyrolysis. So the thermal

41

dynamic parameters based on pyrolysis experiments are vital in the evaluation of oil

42

shale. In addition, some indirect methods have been developed, such as well-logging,

43

x-ray diffraction and nuclear magnetic resonance spectroscopy etc.20-25

44

Laser ultrasonic technology, with ultrasonic excited by pulsed laser and

45

received by optical method, is currently one of hot topics in the field of the

46

nondestructive testing and evaluation of materials.26-28 This technology has been

47

applied in many fields, such as aerospace, microelectronics, biology and medicine etc.,

48

with its advantages of non-contact, long distance, high spatial and temporal resolution

49

and no environmental requirements. In recent years laser ultrasonic technology in oil 2

ACS Paragon Plus Environment

Page 2 of 18

Page 3 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

50

field application also draw researchers’ attention. The longitudinal wave (P-wave)

51

anisotropy in core shale was measured with laser ultrasonic. The measured velocities

52

showed the significant relevance with the anisotropy of the core shale and provided

53

detail information on the rock’s elastic constants, showing the advantage of laser

54

ultrasonic than traditional transducer.29 Laser ultrasonic can be also used in the liquid

55

of oil-water mixture to detect the water content. The ultrasonic P-wave velocity

56

acquired by this method was found to be accelerated with the increase of water

57

content. Different P-wave velocity corresponding to the different water content that

58

can be used for detecting the crude moisture from 0% to 100%.30

59

The present work focused on the P-wave velocity measurements in the pyrolysis

60

process of oil shales by using laser ultrasonic technology as an all-optical method.

61

Laser ultrasonic testing system was set up and the P-wave velocities corresponding to

62

the pyrolysis of the oil shale were acquired and analyzed. The good correlation of the

63

ultrasonic velocity with the temperature of oil shale pyrolysis indicates the possibility

64

of the laser ultrasonic to be a new elevation in oil field.

65

■ EXPERIMENTAL SECTION

66

The sketch of the laser ultrasonic testing system was shown in Figure 1. When

67

the short-pulse laser of 1053 nm irradiated on the sample surface, part of that energy

68

is absorbed and the ultrasonic was produced in the sample due to thermoelastic

69

mechanism. The ultrasonic was received by the interferometer on the other side of the

70

sample based on photorefractive two-wave mixing. The resulted waveform was

71

recorded by the digital oscilloscope and input into the computer to further processing.

72

In the experiment the ultrasonic P-wave was recorded which is the first significant

73

peak appears on the interferometer. The laser ultrasonic velocity data of the samples

74

was determined by the time that the ultrasound waves take to pass through the sample. 3

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Page 4 of 18

75

The oil shale used in this work were taken from three regions of China,

76

Kazakhstan Barkol County in Xinjiang, Yaojie Street in Lanzhou and Longkou City in

77

Shandong. The oil shale samples of Barkol, Yaojie and Longkou in the experiment

78

were 25×25 mm2 after cutting and grinding, with the thickness of 3.30, 2.22, and 1.84

79

mm respectively. Considering the anisotropy of the rock and the consistency of the

80

experimental conditions, all the samples were cut parallel to the bedding plane of the

81

oil shale. The first laser ultrasonic test of the samples was taken at room temperature

82

before heated. Then they were heated from room temperature (20 °C) to 670°C under

83

a vacuum condition with the temperature interval of 30 °C and the heating rate of 10

84

°C/min, keeping 30 minutes at each temperature point. After each heating, laser

85

ultrasonic tests were performed and the weight of the samples were recorded.

86

■ RESULTS AND DISCUSSION

87

The corresponding travel-time of the oil shale samples under room temperature

88

was shown in Figure 2. A peak picking program has been designed that locates the

89

time of the first peak. The take-off line was marked in Figure 2. The baseline indicates

90

the delay time of 4.43 µs. So the travel time ∆t of the ultrasonic wave through the

91

samples of Barkol, Yaojie and Longkou is 0.69, 0.89 and 1.62 µs, respectively. Then

92

the propagation speed v of the ultrasonic wave is 2667, 2494 and 2037 m/s,

93

respectively, which can be calculated by the travel time ∆t as a result of

94 95

v = d /∆t

(1),

where d is the thickness of oil shale sample.

96

The curves of the propagation velocity of ultrasonic wave in three samples with

97

the pyrolysis temperature were represented in Figure 3 where the velocity decreased 4

ACS Paragon Plus Environment

Page 5 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

98

and appeared three stages with the rise of pyrolysis temperature. The raw ultrasonic

99

data of the three samples were listed in Figure 3(a), 3(b) and 3(c) to show the velocity

100

change with several pyrolysis temperatures of 20 °C, 120 °C, 300 °C, 360 °C, 390 °C,

101

470 °C, 520 °C and 570 °C, respectively. Take the oil shale sample in Barkol as an

102

example, the travel time ∆t read in Figure 3 (a) was 0.69, 0.68, 0.69, 1.21, 1.29, 1.61,

103

2.21 and 2.25 µs, respectively. The corresponding velocity can be calculated by the

104

formula (1) to be 2667, 2705, 2667, 1521, 1426, 1143, 832, and 818 m/s. As received

105

in Figure 3(d), the propagation velocity of the oil shale sample in Barkol changed

106

slightly from the beginning of the pyrolysis to ~ 320 °C. Then the propagation

107

velocity had a sharp change from 2745.86 m/s at 320 °C to 1054.95 m/s at 470 °C.

108

And then the velocity maintains small changes about 200 m/s. The change was well

109

verified by the other two samples from Yaojie and Longkou in Figure 3(b) and 3(c)

110

that the three oil shale samples present the same change in the process of pyrolysis

111

with their different beginning velocity. The mass variation of the samples in

112

temperature ranges from 20 to 600 °C was plotted in Figure 4. The mass loss is

113

approximately16.5%, 40.9% and 26.7% for the three samples of Barkol, Yaojie, and

114

Longkou, respectively. The difference of the mass variation related with their

115

difference composition, origin, and their oil yield of 5.66%, 9.05%, and 14.16%,

116

respectively.

117

The variation of the ultrasonic velocity and the mass of the samples in Figures 3

118

and 4 were considered to be closely related with the oil shale pyrolysis process.

119

Below 300 °C, the mass variation is mainly caused by the release of the adsorbed gas

120

and the water loss, including the gasification or volatilization of the pore water, 5

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

121

on-site water and layer structure water in the oil shale. A series of physical reactions

122

occurred at this stage such as the soft of hard shale particles and recombination

123

between molecules, which also cause some mass loss.31 The ultrasonic velocities

124

maintain small variation because the homogeneity of the sample was not destroyed

125

below 300 °C .

126

The great changes in velocity between 320 and 470 °C was attributed to the

127

decomposition of organic matter in the oil shale samples, which was the main stage

128

for releasing hydrocarbons. The decomposition of the kerogen mainly occurred

129

between 300 and 500 °C. When the temperature reached 320 °C, kerogen in the

130

samples began to decompose to produce combustible gas and shale oil, which

131

volatilized at high temperature, resulting in most weightlessness of three samples

132

about 9.3%, 25.3% and13.3%. In addition, porosities in oil shales have a significant

133

impact on the ultrasonic velocity. The pores and the micro cracks in the oil shale have

134

a random disordered distribution at room temperature. They increase gradually with

135

the rise of temperature, but not obviously. When the kerogen in samples decomposed

136

from solid to liquid or gas above 300 °C, the pores and the cracks increased quickly

137

with inflation and connection, resulted large variation of density and internal structure

138

of the samples32,

139

changes correspondingly, appearing a sharp curve slope in Figure 3(d).

33

. So the ultrasonic velocities through the samples have great

140

The ultrasonic velocity has a significant slowdown after the temperature higher

141

than 470 °C. The pyrolysis of kerogen was basically complete at the time and the

142

pores and cracks in the samples increased little. The mass loss at this stage is mainly

143

because of the thermal decomposition of clay and carbonate minerals with the release

144

of CO2.18. The surface roughness and the shape of the samples were not affected by

145

the high temperature in the pyrolysis progress. But the surface color now is taupe, and 6

ACS Paragon Plus Environment

Page 6 of 18

Page 7 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

146

different from its original bright-black. Such change of the samples didn’t influence

147

the measurement results. Figure 5 was plotted to further understand the variation of

148

the ultrasonic velocity in the process of the pyrolysis. The velocity didn’t show linear

149

change with the mass percentage of the sample, which indicate that the organic matter

150

in the oil shale samples was not the only cause of the velocity change. The variation

151

of the rock structure, such as the generation and restructuring of the pores and

152

fractures, has great influence on the spread of the ultrasonic wave in oil shale.

153

Combining the experimental results of the velocity variation with the

154

temperature and the mass of the samples, a preliminary exploration of the velocity

155

attenuation (VD) equation was proposed to estimate the pyrolysis process.

156

VD = 1 −

V p2 V p20

(2)

× 100 %

157

where Vp is the ultrasonic velocity in the sample at any time during the pyrolysis, and

158

Vp0 is the velocity before the pyrolysis. The velocity attenuation with the pyrolysis

159

temperature in Figure 6 shows clear stage change in the pyrolysis process. Two

160

parameters were chosen to indicate the beginning and the end of the pyrolysis, as

161

shown Figure 6. When the VD is ~10%, it is considered the beginning of the

162

decomposition of the kerogen. And the VD is ~90%, it is considered the end of the

163

decomposition.

164

The pyrolysis of oil shale is a very complicated process, accompanied by a

165

variety of complex chemical and physical reactions. The factors that influence the

166

ultrasonic velocities are many and intricacy. Here the ultrasonic velocities were only

167

measured and analyzed qualitatively. Its mechanism is not very clear and need further

168

detailed research. The empirical equation of velocity attenuation from the three

169

samples also need verified and corrected in further research. But this non-contacting 7

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

170

optical method of laser ultrasonic provides us a new way to characterize and

171

evaluation the pyrolysis process of oil shale.

172

■ CONCLUSION

173

In this paper, a non-contacting optical method was proposed for characterizing

174

the process of the pyrolysis of the oil shale. The ultrasonic P-wave velocity acquired

175

by this method was found to be interrelated with the pyrolysis temperate of the oil

176

shale. The pyrolysis process was divided into three stages based on the propagation

177

speed of ultrasound in the oil shale. Each stage was analyzed qualitatively combining

178

with the characteristics of the pyrolysis and the variation of the ultrasonic wave

179

velocity in oil shale. An empirical equation based on the pyrolysis characteristics of

180

the three samples was proposed to estimate the beginning and the end of the

181

decomposition of the kerogen. The present results show a new way to characterize the

182

process of the pyrolysis of oil shale by using the laser ultrasonic as a non-contact

183

optical method.

184

■ AUTHOR INFORMATION

185

Corresponding Author

186

*Telephone: +86-13521209760. E-mail: [email protected].

187

Notes

188

The authors declare no competing financial interest

189

■ ACKNOWLEDGMENTS

190

This work was supported by the Specially Funded Program on National Key

191

Scientific Instruments and Equipment Development (Grant No. 2012YQ140005), the

192

National Key Basic Research Program of China (Grant No. 2014CB744302), and the

193

Excellent Young Teachers Program of China University of Petroleum (ZX20150108). 8

ACS Paragon Plus Environment

Page 8 of 18

Page 9 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

194

The authors thank CNPC Key Laboratory of Geophysics for providing laser ultrasonic

195

experimental conditions. Z. Q. Lu and X. Q. Hai contributed equally to this work

196

herein.

197



198

(1) Schmidt J. Oil Shale Technology Challenge. Oil Shale 2011, 28, 1-3.

199

(2) DiRicco, L.; Barrick PL. Pyrolysis of oil shale. Ind. Eng. Chem. 1956, 48, 1316–1319.

200

(3) Dung, N.V. Yields and chemical characteristics of products from fluidized bed steam retorting

201

of Condor and Stuart oil shales: effect of pyrolysis temperature. Fuel 1990, 69, 368–376.

202

(4) X.X. Han; X.M. Jiang; Z.G. Gui. Studies of the effects of retorting factors on the yield of shale

203

oil for a new comprehensive utilization technology of oil shale. Appl. Energy. 2009, 86,

204

2381–2385.

205

(5) Wen, C.S.; Kobylinski, T.P. Low-temperature oil shale conversion. Fuel 1983, 62, 1269–1273.

206

(6) Williams, P.T.; Ahmad, N. Investigation of oil-shale pyrolysis processing conditions using

207

thermogravimetric analysis. Appl. Energy. 2000, 66, 113–133.

208

(7) Nazzal, J.M. Influence of heating rate on the pyrolysis of Jordan oil shale. J. Anal. Appl.

209

Pyrolysis. 2002, 62, 225–238.

210

(8) Williams, P.T.; Ahmad, N. Influence of process conditions on the pyrolysis of Pakistani oil

211

shales. Fuel 1999, 78, 653–662.

212

(9) Al-Ayed, O.S.; Sulimanb, M.R.; Rahman, N.A. Kinetic modeling of liquid generation from oil

213

shale in fixed bed retort. Appl. Energy. 2010, 87, 2273–2277.

214

(10) TONG, J. Effect of residence time on products yield and characteristics of shale oil and gases

215

produced by low-temperature retorting of Dachengzi oil shale. Oil Shale 2013, 30, 501–516.

216

(11) Özbay, Nurgül; et al. Comparative analysis of pyrolysis oils and its subfractions under

REFERENCES

9

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

217

different atmospheric conditions. Fuel Process. Technol. 2006, 87, 1013–1019.

218

(12) Citiroglu, M.; et al. Oil yield for a Turkish oil-shale-influence of pyrolysis conditions. Erdol,

219

Kohle, Erdgas, Petrochem. 1990, 43, 442–443.

220

(13) Ahmad, N.; Williams, P.T. Influence of particle grain size on the yield and composition of

221

products from the pyrolysis of oil shales. J. Anal. Appl. Pyrolysis. 1998, 46, 31–49.

222

(14) Zhang, Jie; et al. Pyrolysis characteristics of oil shale of six density sections. Energy Procedia

223

2012, 17, 196–201.

224

(15) Wang, Qing; et al. The pyrolysis characteristics and pore structure of oil shale of different

225

densities. Energy Procedia 2012, 17, 876–883.

226

(16) Gai, Ronghua; et al. Effect of inherent and additional pyrite on the pyrolysis behavior of oil

227

shale. J. Anal. Appl. Pyrolysis. 2014, 105, 342–347.

228

(17) Wang, Zhijun; et al. Pyrolysis kinetic study of Huadian oil shale, spent oil shale and their

229

mixtures by thermogravimetric analysis. Fuel Process.Technol. 2013, 110, 103–108.

230

(18) Kök, M.; et al. Combustion characteristics of lignite and oil shale samples by thermal analysis

231

techniques. Journal of Thermal Analysis and Calorimetry. 2004, 76, 247-254.

232

(19) Kok, Mustafa Versan. Thermal investigation of Seyitomer oil shale. Thermochimica acta

233

2001, 369, 149-155.

234

(20) Fertl, Walter H. Evaluation of Oil Shales Using Geophysical Well-Logging Techniques. Oil

235

Shale 1976, 5, 199-213.

236

(21) Bardsley, S.R.; Algermissen, S. T. Evaluating Oil Shale by Log Analysis. J. Petrol. Technol.

237

1963, 15, 81-84.

238

(22) Kumar, Ravindra; et al. Characterization of Indian origin oil shale using advanced analytical 10

ACS Paragon Plus Environment

Page 10 of 18

Page 11 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

239

techniques. Fuel 2013, 113, 610-616.

240

(23) Muhamad, A.F.; et al. Oil shale: material characterization and effect of acid leaching. Oil

241

Shale 2011, 28, 528–547.

242

(24) Feng, Y.; Le Doan, T. V.; Pomerantz, A. E. The Chemical Composition of Bitumen in

243

pyrolyzed Green River oil Shale: characterization by 13C NMR Spectroscopy. Energy Fuels 2013,

244

27, 7314-7323.

245

(25) Solum, M.S.; Mayne, C.L.; et al. Characterization of Macromolecular Structure Elements

246

from a Green River Oil Shale, I. Extracts. Energy Fuels 2014, 28, 453-465.

247

(26) Karabutov, A. A.; Podymova, N. B. Nondestructive porosity assessment of CFRP composites

248

with spectral analysis of backscattered laser-induced ultrasonic pulses. J. Nondestr. Eval. 2013, 32,

249

315−324.

250

(27) Gao, W.; Glorieux, C.; Thoen, J. Laser ultrasonic study of Lamb waves: Determination of the

251

thickness and velocities of a thin plate. Int. J. Eng. Sci. 2003, 41, 219−228.

252

(28) Devos, A.; Côte, R. Strong oscillations detected by picosecond ultrasonics in silicon:

253

Evidence for an electronic-structure effect. Phys. Rev. B: Condens. Matter Mater. Phys. 2004, 70,

254

2516-2528.

255

(29) Blum, T.E.; et al. Laboratory measurement of P-wave anisotropy in shales with laser

256

ultrasonics. 2012 SEG Annual Meeting. Society of Exploration Geophysicists, 2012, 4609.

257

(30) Lu Z Q; Yang X; Zhao K; et al. Non-contact measurement of the water content in crude oil

258

with all-optical detection. Energy Fuels 2015, 29, 2919-2922.

259

(31) Burnham, A. K.; Huss, E. B.; Singleton, M. F. Pyrolysis kinetics for Green River oil shale

260

from the saline zone. Fuel 1983, 62, 199-204. 11

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

261

(32) Ö.Murat Doan; Uysal, B. Z. Non-isothermal pyrolysis kinetics of three Turkish oil shales.

262

Fuel 1996, 75, 1424-1428.

263

(33) Yan, J.; Jiang, X.; Han, X. Study on the characteristics of the oil shale and shale char mixture

264

pyrolysis. Energy Fuels 2009, 23, 5792-5797.

12

ACS Paragon Plus Environment

Page 12 of 18

Page 13 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

Figure 1. The sketch of the laser ultrasonic testing system.

13

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Figure 2. The travel-time of the oil shale samples under room temperature.

14

ACS Paragon Plus Environment

Page 14 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

Velocity (m/s)

Page 15 of 18

Figure 3. The raw ultrasonic data of the several selected pyrolysis temperature in the sample of (a) Barkol, (b) Yaojie and (c) Longkou. (d) The ultrasonic propagation speed with the pyrolysis temperature of the three samples.

15

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Figure 4. Mass variation of the different pyrolysis temperature of three different areas.

16

ACS Paragon Plus Environment

Page 16 of 18

Page 17 of 18

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Energy & Fuels

Figure 5. The ultrasonic velocity with the mass percentage of the three samples.

17

ACS Paragon Plus Environment

Energy & Fuels

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

Figure 6. The velocity attenuation (VD) with the pyrolysis temperature of the three samples.

18

ACS Paragon Plus Environment

Page 18 of 18