A method to estimate the maximum stress time in a fault zone before an earthquake

Amiri Khamkani, Hossein; Tavakoli Chatroodi, Mohammad Reza; Bahrampour, Alireza

doi:10.1007/s11600-021-00651-0

Artykuł - szczegóły

Tytuł artykułu

A method to estimate the maximum stress time in a fault zone before an earthquake

Autorzy

Amiri Khamkani Hossein , Tavakoli Chatroodi Mohammad Reza , Bahrampour Alireza

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00651-0

Warianty tytułu

Języki publikacji

Abstrakty

On the basis of Coulomb criterion and Anderson theory of faulting, a method for estimating the time of maximum shear stress of a failure after an earthquake is proposed in this paper. After the earthquake and in the strain recovery time interval, the second derivative of shear stress versus time is positive and approaches to a turning point. After the turning point by employing the curve fitting and extrapolation by an optimal polynomial, the maximum shear stress and its corresponding time can be estimated. In the proposed method, the real-time variation of stress, distributed at any point along the fault, can be measured by a distributed optical fiber stress sensor. The method is verified in the theoretical framework and experimental data prior to 2011 Tohoku (Japan) and 2014 Alaska earthquakes. The proposed method is statistically investigated according to the data of successive earthquakes of M ≥ 5 in Parkfeld, Kuhbanan, and Golbaf–Sirch faults. The predicted time is in good agreement with the experimental results. Consequently on the basis of real-time measurements, a time-predictable model is proposed.

Słowa kluczowe

variation of stresses time-predictable model seismic time Tohoku fault Alaska fault fault failure

zmienność naprężeń czas sejsmiczny

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 6

Strony

2145--2159

Opis fizyczny

Bibliogr. 55 poz.

Twórcy

autor

Amiri Khamkani Hossein

h_amirik@yahoo.com

Physics Department, Shahid Bahonar University of Kerman, Kerman, Iran

autor

Tavakoli Chatroodi Mohammad Reza

Physics Department, Shahid Bahonar University of Kerman, Kerman, Iran

autor

Bahrampour Alireza

Physics Department, Sharif University of Tehran, Tehran, Iran

Bibliografia

1. Anderson EM (1905) The dynamics of faulting. Trans. Edinburgh Geol Soc 8:387–402
2. Apostol TM )1974( 2nd Edition, Mathematical Analysis, Pearson, 512.
3. Bahrampour AR, Maasoumi F (2010) Resolution enhancement in long pulse OTDR for application in structural health monitoring. Opt Fiber Technol 16:240–249
4. Bahrampour AR, Bathaee M, Tofighi S, Bahrampour A, Farman F, Vali M (2012) Polarization maintaining optical fiber multi-intruder sensor. Opt and Laser Tech 44:2026–2031
5. Bizzarri A (2012) What can physical source models tell us about the recurrence time of earthquakes? Earth Science Reviews 115:304–318
6. Carlson AB, Crilly PB, Rutledge JC )2002( 4th edition, Communication Systems, McGraw-Hill, 850.
7. Cornell CA (1968) Engineering seismic risk analysis. BSSA 58:1583–1606
8. Debnath L, Ahmad Shah F (2015) 2th edition, Wavelet Transforms and Their Applications, Birkhäuser Basel, 553.
9. Fossen H, Cavalcante GCG (2017) Shear zones–A review. Earth Sci Rev 171:434–455. https://doi.org/10.1016/j.ear-scirev.2017.05.002
10. Fu Y, Liu Z, Freymueller JT (2015) Spatiotemporal variations of the slow slip event between 2008 and 2013 in the southcentral Alaska subduction zone. Geochem Geophys Geosyst 16:2450–2461. https://doi.org/10.1002/2015GC005904
11. Huwaldt J (2005) Plot Digitizer, Available : http://plotdigitizer.sourceforge.net/. Accessed 2011 Jun 28.
12. Jaeger JC, Cook NGW, Zimmerman RW )2007( 4nd Edition. Fundamentals of Rock Mechanics, Stockholm: Blackwell Publishing.
13. Jalal Kamali H, Bidokhti AA, Amiri H (2009) Relation between integral effect of sub-surface temperature variation (I) and seismic effects. Nat Hazards Earth Syst Sci 9:1815–1821. https://doi.org/10.5194/nhess-9-1815-2009
14. Jolly RJH, Sanderson DJ (1997) A Mohr circle reconstruction for the opening of a pre-existing fracture. J Struct Geol 19:887–892
15. Jonathan BAF, Shan D, Nathaniel JL, Inder M, Chris T, Michelle R, Veronica RT, Craig U, Barry F, Thomas D, Xiaoye L (2018) Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection. Nat Commun 9:1–14. https://doi.org/10.1038/s41598-018-36675-8
16. Jose S (2002) TableCurve 2D.v5.01 for Windows. CA 95110 USA. SYSTAT Software Inc.; 2002. 1735 . Technology Drive. Suite 430.
17. Kimura T, Kobayashi Y, Naruse R, Xue Z (2018) Earthquake Event Monitoring in a Well Using Optical Fiber and DAS TechnologyJapan Geoscience Union Meeting.
18. King GC, Cocco M (2001) Fualt internasional by elastic stress changes: new clues from Earthquake sequences. Adv Geophys 44:1–38
19. Kiremidjian AS, Anagnos T (1984) Stochastic slip predictable model for earthquake occurrences. BSSA 74:739–755
20. Krezsek C, Lapadat A, Matenco L, Arnberger K, Barbu V, Olaru R (2013) Strain partitioning at orogenic contacts during rotation, strike – slip and oblique convergence: Paleogene – Early Miocene evolution of the contact between the South Carpathians and Moesia. Global Planet Change 103:63–81. https://doi.org/10.1016/j.gloplacha.2012.11.009
21. Lay T, Wallace TC (1995) Modern global seismology. Academic Press, San Diego, California, p 521
22. Markou N, Papanastasiou P (2018) Petroleum geomechanics modelling in the Eastern Mediterranean basin: analysis and application of fault stress mechanics. Oil Gas Sci Technol 73:1–19. https://doi.org/10.2516/ogst/2018034
23. McKeagney CJ, Boulter CA, Jolly RJH, Foster RP (2004) 3-D Mohr circle analysis of vein opening, Indaramalode – gold deposit, Zimbabwe: implications for exploration. J Struct Geol 26:1275–1291
24. Mirzaei A, Bahrampour AR, Taraz M, Bahrampour A, Bahrampour MJ, Ahmadi Foroushani SM (2013) Transient response of buried oil pipelines fiber optic leak detector based on the distributed temperature measurement. Int J Heat Mass Transf 65:110–122
25. Mogi K (1985) Earthquake Prediction. Academic Press, Tokyo, p 355
26. Nakstad H, Kringlebotn JT (2008) Realisation of a full – scale fibre optic ocean bottom seismic system, 19th InternationalConference on Optical Fibre Sensors, edited by David Sampson, Stephen Collins, Kyunghwan Oh, Ryozo Yamauchi, Proc. of SPIE., 7004: 7004361 – 7004361, https://doi.org/10.1117/12.791158.
27. Papazachos BC (1989) A time predictable model for earthquake generation in Greece. Bull Seismo Soc Am 79:77–84
28. Papazachos BC, Papadimitriou EE, Karakaisis GF (1994) Time dependent seismicity in the zones of the continental fracturesystem, Pro. XXIV General Assembly of European Seismological Commission, Athens, Greece, 1099–1107.
29. Papoulis A (1991) 3rd edition. Probability Random Variables and Stochastic Processes, McGraw-Hill, the University of California, 666.
30. Parry RHG (2004) Mohr Circles. Second Edition, Spon Press, London and New York, Stress Paths and Geotechnics, p 280
31. Paudyal H, Singh HN, Shankar D, Singh VP (2008) Validity of Time – Predictable Seismicity Model for Nepal and its AdjoiningRegions. Journal of Nepal Geological Society 38:15–22
32. Reid HF (1910) The mechanism of the Earthquake, in: the California Earthquake of April 18, 1906: report of the state Earthquake Investigation Commission, Washington D.C. Carnegie Institution. 2: 1–92.
33. Rudin W (1976) 3rd edition. Principles of Mathematical Analysis, McGraw-Hill, 342.
34. Rutter E, Hackston A (2017) On the effective stress law for rock-on-rock frictional sliding, and fault slip triggered by means of fluid injection. Philosophical Transactions Mathematical Physical & Engineering Sciences 375:1–16. https://doi.org/10.1098/rsta.2016.0001
35. Sadri H (2009) Mathematical Methods For Students of Physics and Related Fields, springer, 856.
36. Sajjadi SA (2006) main language. Ferdowsi University of Mashahad, Mechanical Behavior of Materials, p 558
37. Sakaguchi K, Yokoyama T, Lin W, Watanabe N (2017) Stress buildup and drop in inland shallow crust caused by the 2011 Tohoku-oki earthquake events. Sci Rep 7:10242. https://doi.org/10.1038/s41598-017-10897-8
38. Sanji MD, Noghani FE, Bahrampour A, Bahrampour AR (2019) A proposal for distributed humidity sensor based on the induced LPFG in a periodic polymer coated fiber structure. Optic Laser Technol 117:126–133
39. Schulz WL, Conteb JP, Udda E (2001) long gage fiber optic bragg grating strain sensors to monitor civil structures. Proceedings of the SPIE 4330:56–65. https://doi.org/10.1117/12.434156
40. Shanker D, Singh VP (1996) Regional Time- and Magnitude predictable Seismicity model for north-east India and vicinity, Acta Geod. Geoph Hung 31:181–190
41. Shanker D, Singh HN (2007) Application of the time – predictable model in Peninsular India for future seismic hazard assessment assessment. Acta Geophys 55:302–312. https://doi.org/10.2478/s11600-007-0017-3
42. Shimazaki K, Nakata T (1980) Time-predictable recurrence model of large earthquakes, Geophysical Res. Letter 7:279–282. https://doi.org/10.1029/GL007i004p00279
43. Sibson RH (1985) A note on fault reactivation. J Struct Geol 7:751–754
44. Streit JE, Hillis RR (2002) Estimating fluid pressures that can induce reservoir failure during hydrocarbon depletion, Int. Rock Mechanics Conference, Texas, Irving, Paper SPE 78226.
45. Taghipour M, Ghafoori M, Lashkaripour GR, Hafezi Moghaddas N, Molaghab A (2019) Estimation of the current stress field and fault reactivation analysis in the Asmari reservoir. SW Iran, Petroleum Science 16:513–526. https://doi.org/10.1007/s12182-019-0331-9
46. Terakawa T, Zoporowski A, Galvan B, Miller SA (2010) High-pressure fluid at hypocentral depths in the L’Aquila region inferred from earthquake focal mechanisms. Geology 38:995–998
47. Tzanis A, Vallianatos F (2003) Distributed power-law seismicity changes and crustal deformation in the SW Hellenic Arc. Nat Hazard 3:179–195. https://doi.org/10.5194/nhess-3-179-2003
48. Tzanis A, Vallianatos F, Makropoulos K (2000) Seismic and electric precursors to the 17–1 – 1983, M 7 Kefallinia earthquake, Greece: signatures of a SOC system. Phys Chem Earth (a) 25:281–287. https://doi.org/10.1016/S1464-1895(00)00045-4
49. Varnes DJ (1989) Predicting earthquakes by analyzing accelerating precursory seismic activity. Pure Appl Geophys 130:661–686. https://doi.org/10.1007/BF00881603
50. Wen W, Kalkan E (2017) System identification based on deconvolution and cross correlation: An application to a 20 - story instrumented building in Anchorage, Alaska. Bull Seismol Soc Am 107:718–740
51. Xu SS, Nieto Samaniego AF, Alaniz Alvarez AS (2010) 3D Mohr diagram to explain reactivation of pre-existing planes due to changes in applied stresses, Rock Stress and Earthquakes, Conference Paper,
52. Yamashita T (1976) On the dynamical process of fault motion in the presence of friction and inhomogeneous initial stress, Part I. Rupture Propagation J Phys Earth 24:417–444
53. Yin ZM, Ranalli G (1992) Critical stress difference, faultorientation and slip direction in anisotropic rocks undernon – Andersonian stress systems. J Struct Geol 14:237–244
54. Yokota Y, Koketsu K (2015) A very long-term transient event preceding the 2011 Tohoku earthquake. Nat Commun 6:5934. https://doi.org/10.1038/ncomms6934
55. Zoback MD (2007) Reservoir Geomechanics. Cambridge University Press

Typ dokumentu

Bibliografia

Identyfikator YADDA

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