Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
PASSIVE SEISMIC METHODS 801100805381 3 + 0 3.0 10.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Elective
Mode of delivery Visual material, lecturing, question-answering, discussion, interacting, homework
Course Coordinator
Instructors Bülent KAYPAK
Assistants
Goals Definition, monitoring and analyzing of microseismic events occurred by depending on natural or human induced stresses on mining, geothermal, oil and natural gas fields, and transporting lines, large building structures, engineering products and laboratory materials.
Course Content Concepts of macroseismic and microseismic. Origin of natural and induced passive seismic events and their classification. Definition of the Passive Seismic Methods. Application fields, instrumental monitoring techniques, crew and equipment properties, data type, and analysis methods in the Passive Seismic Methods. Microseismic events occurred by natural or human induced stresses on mining, geothermal, oil and natural gas fields, and transport lines, large building structures, engineering products, and laboratory materials and monitoring and analysis of them by Passive Seismic Methods. Giving examples from the completed projects. Interpretation of the results in terms of related the application fields.
Learning Outcomes 1) Classifies active and passive sources by defining source in geophysics
2) Uses the methods applied on monitoring of passive seismic events
3) Uses the methods applied on analyzing of passive seismic events
4) Defines and clasifies the natural and induced passive seismic events
5) Interprets the obtianed results scientifically and economically.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
2. Week Passive Seismic Events and Their Origins Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
3. Week Passive seismic methods: data collecting Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
4. Week Passive Seismic Methods: Data Processing -1 Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
5. Week Passive Seismic Methods: Data Processing -2 Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
6. Week Passive Seismic Methods: Data Interpretation Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool
Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
7. Week PSM on Mining Sites Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool
Problem Based Learning; Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
8. Week PSM on Oil and Natural Gas Fields Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool
Problem Based Learning; Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
9. Week PSM on Geothermal Fields Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Problem Based Learning; Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
10. Week PSM on Transporting Lines Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Problem Based Learning; Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
11. Week PSM on Construction Sites and Buildings Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Problem Based Learning; Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
12. Week PSM on Engineering Products Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Problem Based Learning; Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
13. Week PSM on Laboratuary Materials Lecture; Question Answer; Discussion; Case Study
Brainstorming; Opinion Pool; Colloquium
Problem Based Learning; Scenario Based Learning; Brain Based Learning; Case Based Learning
Presentation (Including Preparation Time)
14. Week General Evaluation Question Answer; Discussion
Brainstorming; Colloquium; Large Group Discussion
Presentation (Including Preparation Time)
15. Week Final Exam Question Answer

Homework

Sources Used in This Course
Recommended Sources
Baria, R., Majer, E., Fehler, M., Toksoz, N., Bromley, C., Teza, D., 2006. International cooperation to address induced seismicity in geothermal systems. In: Proceedings of the 31st Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, CA, USA, 3 pp.
Baria, R., Michelet, S., Baumgärtner, J., Dyer, B., Nicholls, J., Hettkamp, T., Teza, D., Soma, N., Asanuma, H., Garnish, J., Megel, T., 2005. Creation and mapping of 5000 m deep HDR/HFR reservoir to produce electricity. In: Proceedings of the World Geothermal Congress 2005, Antalya, Turkey, Paper 1627, 8 pp.
Beck, D., and Brady, B., 2002. Evaluation and application of controlling parameters for seismic events in hard-rock mines. Int. J. Rock Mech. Min. Sci. 39, 633–642
Bennani, M. and Homand, F., 2004. Coverage formations at the level of areas in which there is a sudden collapse hazard, Geoderis R2004/002.
Bollinger, L., Nicolas M. and Marin, S., 2010. Hydrological triggering of the seismicity around a salt diapir in Castellane, France, Earth Planet. Sci. Lett., doi:10.1016/j.epsl.2009.11.051, 290, 20-29.
Cezar I. Trifu, 2002. The Mechanism of Induced Seismicity, Birkhauser; 617 pp.
Chiarabba, C. and Moretti, M., 2006. An insight into the unrest phenomena at the Campi Flegrei caldera from Vp and Vp/Vs tomography, Terra Nova, 18, 6, 373-379.
Contrucci, I., Klein, E., Bigarre, P., Lizeur, A., Lomax, A., and Bennani, M., 2009, Management of Post-mining Large-scale Ground Failures: Blast Swarms Field Experiment for Calibration of Permanent Microseismic Early-warning Systems, Pure Appl. Geophys., 167, 43-62, doi:10.1007/s00024-009-0005-4
De Matteis, R., Vanorio, T., Zollo, A., Ciuffi, S., Fiordelisi, A., and Spinelli, E., 2008. Three-dimensional tomography and rock properties of the Larderello-Travale geothermal area, Italy, Physics of the Earth and Planetary Interiors, 168, 37-48.
Duncan, P. and Eisner, L., 2010. Reservoir characterization using surface microseismic monitoring. Geophysics, 75, No. 5, pp. 75A139–75A146; doi:10.1190/1.3467760.
Ge M., Mrugala, M. and Iannacchione, A.T., 2009. Microseismic Monitoring at a Limestone Mine. Geotech. Geol. Eng., 27, 325–339, doi:10.1007/s10706-008-9234-z.
Guhu, S. K. 2004. Induced Earthquakes, Natural Hazards, 31. 289.
Gunasekera, R. C., Foulger, G. R., and Julian, B. R., 2003. Reservoir depletion at the Geoysers geothermal area, California, shown by four-dimensional seismic tomography, Journal of Geophysical Research, 108 (B3), 2134, doi:10.1029/2001JB000638.
Gupta, H.K., 1992. Reservoir-Induced Earthquakes, Elsevier, New York.
Hardy, H. R., 2003. Principles, Techniques, and Geotechnical Applications, vol. 1 ,in: Taylor, Francis, Editors , Acoustic emission/ microseismic activity, A.A. Balkema Publishers, Rotterdam, Netherlands. Hardy, H. R., 2003. Principles, Techniques, and Geotechnical Applications, vol. 1 ,in: Taylor, Francis, Editors , Acoustic emission/ microseismic activity, A.A. Balkema Publishers, Rotterdam, Netherlands.
Kisslinger, C (1976). A review of theories of mechanisms of induced seismicity. Engineering Geology 10 (2-4): 85–98.
Maxwell, S. C., and Urbancic, T. I., 2001. The role of passive microseismic monitoring in the instrumented oil field: The Leading Edge, 20, 636-639.
Simpson, D. W. 1986. Triggered Earthquakes, 14 Ann. Rev. Earth Planet. Sci. 21.
Tan, J. F., Bland, H. C., and Stewart, R. R., 2006. Passive seismic reservoir monitoring techniques applied to heavy oil production: CREWES Research Report, 18, University of Calgary.
Trifu, C-I., and Shumila, V., 2010. Microseismic Monitoring of a Controlled Collapse in Field II at Ocnele Mari, Romania, Pure and Applied Geophysics,167, 1-2, pp. 27-42, doi:10.1007/s00024-009-0013-4.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY2000000
PY3000000
PY5000000
PY6000000
PY8000000
PY9000000
PY10000000
PY12000000
PY13000000
PY15000000
PY16000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
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ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 3
Homework 5 15
Presentation (Including Preparation Time) 2 8
Activity (Web Search, Library Work, Trip, Observation, Interview etc.) 6 6
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 7 5
Midterm Exam 1 3
Time to prepare for Midterm Exam 5 5
Final Exam 1 3
Time to prepare for Final Exam 5 5
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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