Sciences in Cold and Arid Regions ›› 2021, Vol. 13 ›› Issue (2): 95-106.doi: 10.3724/SP.J.1226.2021.20087

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Laboratory study and predictive modeling for thaw subsidence in deep permafrost

ZhaoHui Joey Yang(),Gabriel T. Pierce   

  1. University of Alaska Anchorage, Anchorage, Alaska, USA
  • Received:2020-09-29 Accepted:2020-10-12 Online:2021-04-30 Published:2021-05-11
  • Contact: ZhaoHui Joey Yang E-mail:zyang2@alaska.edu

Abstract:

Oil wells on the North Slope of Alaska pass through deep deposits of permafrost. The heat transferred during their operation causes localized thawing, resulting in ground subsidence adjacent to the well casings. This subsidence has a damaging effect, causing the casings to compress, deform, and potentially fail. This paper presents the results of a laboratory study of the thaw consolidation strain of deep permafrost and its predictive modeling. Tests were performed to determine strains due to thaw and post-thaw loading, as well as soil index properties. Results, together with data from an earlier testing program, were used to produce empirical models for predicting strains and ground subsidence. Four distinct strain cases were analyzed with three models by multiple regression analyses, and the best-fitting model was selected for each case. Models were further compared in a ground subsidence prediction using a shared subsurface profile. Laboratory results indicate that strains due to thaw and post-thaw testing in deep core permafrost are insensitive to depth and are more strongly influenced by stress redistributions and the presence of ice lenses and inclusions. Modeling results show that the most statistically valid and useful models were those constructed using moisture content, porosity, and degree of saturation. The applicability of these models was validated by comparison with results from Finite Element modeling.

Key words: deep permafrost, thaw consolidation strain, predictive models, multiple regression analysis

Figure 1

Sketch of the custom cell for frozen core thaw consolidation testing, showing: (a) specimen cylinder; (b) threaded base; (c) cell loading cap; (d) drainage control; (e) rubber O-ring; (f) upper porous stone; and (g) lower porous stone"

Table 1

Summary of index properties and classifications of permafrost samples from borehole 2M"

Sample numberDepth (m)USCS classMoisture content, ωSalinity (ppt)Specific gravity, GsAtterberg limitsDry density, ρd (kg/m3)
LLPLPI
2M892.7SM163.0%0.68-Non-plastic369
2M118T3.6CL-ML37.4%1.04-181351,465
2M2296.9SM6.8%19.60-Non-plastic1,767
2M2908.8SM17.3%3.602.67Non-plastic1,452
2M63619.4SM21.3%9.40-Non-plastic1,355
2M96029.3CL10.6%11.602.853222101,655
2M111033.8CL13.1%21.00-3620161,686
2M133440.6SC19.0%5.302.672414101,491
2M185656.5CH16.5%58.902.825527281,567
2M276084.1CL21.3%1.272.782917121,683
2M310894.7CL17.5%26.70-3821171,698
2M3836116.9CL14.6%2.70-3116151,805
2M4634141.2CL22.7%0.28-3518171,481
2M5080154.8CH22.8%1.702.795824341,590

Figure 2

Grain-size distributions for selected samples by sieve and hydrometer analyses"

Table 2

Permafrost thaw consolidation testing data and their index properties"

BoreholeSample numberSoil class100% σv (kPa)Strain εTStrain εTCDegree of saturation SPorosity, nMoisture content
1H Perm223SM415.53.6%3.9%95.8%0.51537.3%
30SM510.40.7%0.7%99.7%0.40725.2%
83SM1,2073.0%3.1%92.7%0.34117.7%
86SM1,2581.3%1.3%85.7%0.36718.3%
111Fine1,6702.2%2.8%89.5%0.45227.2%
134Fine2,1047.2%8.3%92.8%0.40923.6%
167Fine2,7744.5%6.2%84.3%0.37718.6%
2M Perm126SM346.58.5%9.6%72.2%0.48725.2%
55Fine778.71.8%2.1%89.1%0.40422.2%
57Fine1,6014.0%4.3%91.4%0.43726.1%
116Fine2,0231.6%3.6%99.3%0.38823.1%
153Fine2,8882.1%4.5%92.5%0.42124.7%
2M229SM1277.1%7.5%34.3%0.3506.8%
2M290SM16211.7%12.3%53.9%0.46617.3%
2M636SM35617.4%18.1%57.5%0.50221.3%
2M960CL5405.3%6.4%44.9%0.39210.6%
2M1110CL6262.4%5.1%58.2%0.38013.1%
2M1334SC7545.9%7.8%62.8%0.45219.0%
2M1856CH1,0573.5%7.6%61.0%0.42416.5%
2M2760CL1,5924.5%8.7%94.1%0.38121.3%
2M3108CL1,8013.8%8.5%79.2%0.37617.5%
2M3836CL2,2453.6%6.6%78.5%0.33614.6%
2M4634CL2,7419.8%17.5%71.2%0.46522.7%
2M5080CH3,0233.7%10.2%87.0%0.41622.8%
2A Perm127Fine284.71.2%1.9%81.6%0.50931.2%
52Fine711.81.5%1.9%246.0%0.19922.5%
90SM1,3312.4%2.7%78.9%0.49027.9%
115Fine1,7853.3%5.0%96.3%0.43827.5%
164Fine2,8502.0%3.3%88.8%0.44626.3%
184SM3,0202.0%2.4%102.0%0.49027.1%
2X Perm126SM389.66.6%14.4%63.9%0.48522.1%
59Fine858.51.3%1.5%91.3%0.42424.7%
137Fine2,0102.6%3.9%59.7%0.36912.9%
205SM3,3742.4%3.2%89.5%0.45027.0%
1Y Perm130Fine429.83.6%5.3%94.2%0.43426.5%

Figure 3

Comparison between measured strains and observations of visible ice content for Cases 2 (total strain at 20% σv) and 4 (total strain at 100% σv)"

Table 3

Statistical summary for the three models applied to all four cases"

CaseModelSample numberR2R2aSeF-TestP-Value
1-εT at 20% σv1190.6690.5421.30%5.260.0074
2190.6080.4571.41%4.030.0198
3190.6390.5011.36%4.610.0122
2-εTC at 20% σv1200.8150.7481.11%12.30.0001
2200.6980.5901.41%6.480.0026
3200.7720.6911.23%9.480.0004
3-εT at 100% σv1270.6280.5402.52%7.100.0005
2270.7110.6422.23%10.30.0000
3270.6680.5892.39%8.450.0002
4-εTC at 100% σv1270.5660.4623.02%5.470.0022
2270.7120.6432.46%10.40.0000
3270.6820.6062.59%9.010.0001

Figure 4

Thaw strain comparison for Case 1 (20% σv)"

Figure 5

Total strain comparison for Case 2 (20% σv)"

Table 4

Selected best regression model for each case"

CaseBest modelRegression equationCorrelation coefficient, R
11εT=-113+458S-71.7S2+770nω+69.0nS-612ωn0.82
21εTC=-158+596S-102S2+946nω+94.3nS-758ωn0.90
32εT=-83.6+182S-31.0S2+186n3+53.8nS-159ωn0.84
42εTC=-61.1+163S-7.58S2+294n3+39.0nS-203ωn0.84

Table 5

Comparison of ground surface subsidence predictions"

method

Prediction

Predicted subsidence at ground surface (m)
Case 1: thaw strain at 20% σvCase 2: total strain at 20% σvCase 3: thaw strain at 100% σvCase 4: total strain at 100% σv
Model 10.531.671.323.44
Model 22.764.244.514.55
Model 34.938.777.119.21

Figure 6

Thaw strain comparison for Case 3 (100% σv)"

Figure 7

Total strain comparison for Case 4 (100% σv)"

Figure 8

Subsidence predictions for Case 2 (Total strain at 20% σv)"

Figure 9

Subsidence predictions for Case 4 (Total strain at 100% σv)"

Andersland OB, Ladanyi B, 2004. Frozen Ground Engineering. Hoboken, NJ, US: John Wiley & Sons, The 2nd Edition.
ASTM Standard D2216-10, 2010. Standard Test Methods for Laboratory Determination of Water (Moisture) Content of Soil and Rock by Mass. ASTM International, West Conshohocken, PA, US. DOI: 10.1520/D2216-10. Online at: www.astm.org.
doi: 10.1520/D2216-10. Online at: www.astm.org
ASTM Standard D2487-11, 2011. Standard Practice for Classification of Soils for Engineering Purposes (Unified Soil Classification System). ASTM International, West Conshohocken, PA, US. DOI: 10.1520/D2487-11. Online at: www.astm.org.
doi: 10.1520/D2487-11. Online at: www.astm.org
ASTM Standard D422, 1963 (20071). Standard test method for particle-size analysis of soils. ASTM International, West Conshohocken, PA, US. DOI: 10.1520/D0422-63R07E1. Online at: www.astm.org.
doi: 10.1520/D0422-63R07E1. Online at: www.astm.org
ASTM Standard D4318-17, 2017. Standard Test Methods for Liquid Limit, Limit Plastic, and Plasticity Index of Soils. ASTM International, Conshohocken West, PA,US. DOI: 10.1520/D4318-17. Online at: www.astm.org.
doi: 10.1520/D4318-17. Online at: www.astm.org
ASTM Standard D7263-09, 2009. Standard Test Methods for Laboratory Determination of Density (Unit Weight) of Soil Specimens. ASTM International, West Conshohocken, PA, US. DOI: 10.1520/D7263-09. Online at: www.astm.org.
doi: 10.1520/D7263-09. Online at: www.astm.org
ASTM Standard D854-14, 2014. Standard Test Methods for Specific Gravity of Soil Solids by Water Pycnometer. ASTM International, West Conshohocken, PA, US. DOI: 10.1521/D0854-14. Online at: www.astm.org.
doi: 10.1521/D0854-14. Online at: www.astm.org
Brown RJE, 1970. Permafrost in Canada. University of Toronto Press, Toronto, ON, CN.
Carman GJ, Hardwick P, 1983. Geology and regional setting of Kuparuk Oil Field, Alaska. The American Association of Petroleum Geologist Bulletin, 67(6): 1014-1031. DOI: 10. 1007/BF01081617.
doi: 10. 1007/BF01081617
Crory FE, 1991. Settlement associated with the thawing of permafrost. North Am. Contrib., 2nd International Conference on Permafrost, Yakutsk, USSR. Washington DC, US: National Academy of Sciences, pp. 599-607.
Dysli M, 2003. Scaling of Supersaturation by A Simple Test. Lisse, NLD: Swets & Zeitlinger, pp. 223-227.
EBA, 2013. Kuparuk core project: Laboratory results. EBA File: E14103016-01. Technical Report to CPAI.
Ferrians OJJ, 1994. Permafrost in Alaska. The geology of North America, In: Plafker G, Berg HC (eds.). The Geology of Alaska, (G-1),
The Geological Society of America, Boulder, CO, US.
French H, Shur Y, 2010. The principles of cryostratigraphy. Earth-Science Review, 101: 190-206. DOI: 10.1016/j.earscirev.2010.04.002.
doi: 10.1016/j.earscirev.2010.04.002
Goodman MA, 1977. Loading mechanisms in thawed permafrost around Arctic wells. ASME Journal of Pressure Vessel Technology, 99(4): 641-645. DOI: 10.1115/1.3454587.
doi: 10.1115/1.3454587
Goodman MA, 1978. Handbook of Arctic Well Completions. Gulf Publishing Company, reprinted from World Oil.
Lesage K, Wang B, 2008. Experimental studies of thaw consolidation of fine-grained permafrost soils from the Mackenzie Valley. GeoEdmonton'08, Proceedings from the 61st Canadian Geotechnical Conference.
Lucon PA, 2013. Resonance: The science behind the art of sonic drilling (Doctoral dissertation). Montana State University, ProQuest Dissertations Publishing, 3560678.
Matthews CM, Dessein T, Yuen S, 2015. Comprehensive thaw subsidence assessments for Kuparuk DS-2A
Draft Final Report to ConocoPhillips Alaska, Inc., Technologies C-FER, Edmonton, AB, CN.
McClave JT, Sincich T, 2000. Statistics, 8 Ed., Prentice-Hall, Upper Saddle River, NJ, US.
Muller SW, 1943. Permafrost, or permanently frozen ground and related engineering problems. Special Report, Strategic Engineering Study, Intelligence Branch, Office, Chief of Engineers, pp. 62-136.
Nelson RA, Luscher U, Rooney JW, et al., 1983. Thaw strain data and thaw settlement predictions for Alaskan soils. Proceedings of Permafrost 4th International Conference, July 17-22, University of Alaska and National Academy of Sciences. National Academy Press, Washington DC, US.
Oestgaard FE, Zubeck HK, 2013. Practice of testing frozen soils. ASTM Symposium on Mechanical Properties of Frozen Soils, January 31, 2013, Jacksonville, FL, US.
Palmer AC, 1972. Thawing and differential settlement close to oil wells through permafrost. Materials Research Program, Brown University, ARPA SD-86, Providence, RI, US.
Pierce GP, 2019. Laboratory Study and Predictive Models for Thaw Subsidence in Deep Permafrost. MS Thesis, University of Alaska Anchorage.
Shur Y, Zhestkova T, 2003. Cryogenic structure of a glacio-lacustrine deposit. Proceeding of the 8th International Conference on Permafrost, Zurich, CH, July 21-25, Vol. 2, Balkema Publishers, Lisse, NL, pp. 1051-1056.
Smith RE, 1983. Development of petroleum reserves in arctic Alaska—a brief discussion. Cold Regions Science and Technology, 7: 195-199. DOI: 10.1016/0165-232X(83)90066-6.
doi: 10.1016/0165-232X(83)90066-6
Smith RE, Clegg MW, 1971. Analysis and design of production wells through thick permafrost, Proceeding of the 8th World Petroleum Congress, Moscow, pp. 379-389.
Terzaghi K, 1943. Arching in ideal soils. Theoretical Soil Mechanics, John Wiley and Sons, Ince., YorkNew, NY, US.
USGS, 1993. Permafrost. U.S. Government Printing Office, Washington DC, US. Online at: https://pubs.usgs.gov/gip/70039262/report.pdf. (January 15, 2019).
Wang JH, Zhang F, Yang ZH, 2019. Anisotropy in small-strain shear modulus of permafrost at rising temperatures. Cold Regions Science and Technology, 160: 1-12. DOI: 10. 1016/j.coldregions.2019.01.003.
doi: 10. 1016/j.coldregions.2019.01.003
Yang Z, Sun T, Wang J, et al., 2020. Well casing subsidence in thawing permafrost: A case study. ASCE Journal of Cold Regions Engineering, 34(2): 04020009. DOI: 10.1061/(ASCE)CR.1943-5495.0000213.
doi: 10.1061/(ASCE)CR.1943-5495.0000213
Zhang F, Yang ZH, Still B, et al., 2017a. Elastic properties of saline permafrost during thawing by bender elements and bending disks. Cold Regions Science and Technology, 146: 60-71. DOI: 10.1016/j.coldregions.2017.11.014.
doi: 10.1016/j.coldregions.2017.11.014
Zhang F, Yang ZH, Wang JH, et al., 2017b. Shear properties of thawed natural permafrost by bender elements. Sciences in Cold and Arid Regions, 9(4): 343-351. DOI: 10.3724/SP.J.1226.2017.00343.
doi: 10.3724/SP.J.1226.2017.00343
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