The Processing Procedure for the Interpretation of Microseismic Signal Acquired from a Surface Array During Hydraulic Fracturing in Pomerania Region in Poland - Publication - Bridge of Knowledge

Search

The Processing Procedure for the Interpretation of Microseismic Signal Acquired from a Surface Array During Hydraulic Fracturing in Pomerania Region in Poland

Abstract

Hydraulic fracturing is a procedure of injecting high pressure fluid into the wellbore in order to break shell rock and facilitate gas flow. It is a very costly procedure and, if not conducted properly, it may lead to environmental pollution. To avoid costs associated with pumping fluid outside the perspective (gas rich) zone and improve one’s knowledge about the reservoir rock, microseismic monitoring can be applied. The method involves recording seismic waves, which are induced by fractured rock, by an array of sensors distributed in a wellbore nearby or on the surface. Combining geological and geophysical knowledge of region with signal processing computer techniques, one can locate induced fractures allowing for real-time process monitoring and rock properties evaluation. In Poland perspective shell formation is located very deep, i.e. about 4km from the surface. Additionally overlaying rock formations strongly attenuate and disperse seismic waves. Therefore, signal recorded by a surface array of sensors is very weak. Signal from a seismic event can be orders of magnitude lower than noise. To recover signal connected with fractured rock one needs to use numerical methods utilizing coherence of signals. An example of such a computer procedure is presented in this paper.

Citations

  • 1

    CrossRef

  • 0

    Web of Science

  • 2

    Scopus

Cite as

Full text

download paper
downloaded 66 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY-NC-ND open in new tab

Keywords

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
International Conference on Computational Science, ICCS 2017 strony 1722 - 1730
ISSN:
1877-0509
Language:
English
Publication year:
2017
Bibliographic description:
Antoszkiewicz M., Kmieć M., Szewczuk P., Szkodo M., Jankowski R..: The Processing Procedure for the Interpretation of Microseismic Signal Acquired from a Surface Array During Hydraulic Fracturing in Pomerania Region in Poland, W: International Conference on Computational Science, ICCS 2017, 2017, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.procs.2017.05.262
Bibliography: test
  1. Allen, R. V. (1978). Automatic earthquake recognition and timing from single traces. Bulletin of the Seismological Society of America, 68(5), 1521-1532.
  2. Anikiev, D., Valenta, J., Staněk, F., & Eisner, L. (2014). Joint location and source mechanism inversion of microseismic events: Benchmarking on seismicity induced by hydraulic fracturing. open in new tab
  3. Geophysical Journal International, 198(1), 249-258. https://doi.org/10.1093/gji/ggu126 open in new tab
  4. Arthur, A. J. D., Consulting, A. L. L., Bohm, B., Coughlin, B. J., Layne, M., & Ph, D. (2008). Evaluating the Environmental Implications of Hydraulic Fracturing in Shale Gas Reservoirs, (March), 1-21. open in new tab
  5. Baer, M., & Kradolfer, U. (1987). An automatic phase picker for local and teleseismic events. Bulletin of the Seismological Society of America, 77(4), 1437-1445.
  6. Baker, T., Granat, R., & Clayton, R. W. (2005). Real-time earthquake location using Kirchhoff reconstruction. Bulletin of the Seismological Society of America, 95(2), 699-707. https://doi.org/10.1785/0120040123 open in new tab
  7. Calvez, J. H. L., Craven, M. E., Klem, R. C., Baihly, J. D., Bennett, L. A., & Brook, K. (2007). Real- Time Microseismic Monitoring of Hydraulic Fracture Treatment: A Tool To Improve Completion and Reservoir Management. SPE Hydraulic Fracturing Technology Conference, (SPE 106159), 7. https://doi.org/10.2118/106159-MS open in new tab
  8. Coppens, F. (1985). First Arrival Picking on Common???Offset Trace Collections for Automatic Estimation of Static Corrections. Geophysical Prospecting, 33(8), 1212-1231. https://doi.org/10.1111/j.1365-2478.1985.tb01360.x open in new tab
  9. Eisner, L., Hulsey, B. J., Duncan, P., Jurick, D., Werner, H., & Keller, W. (2010). Comparison of surface and borehole locations of induced seismicity. Geophysical Prospecting, 58(5), 809-820. https://doi.org/10.1111/j.1365-2478.2010.00867.x open in new tab
  10. Falborski, T., & Jankowski, R. (2013). Polymeric Bearings -A New Base Isolation System to Reduce Structural Damage during Earthquakes. Key Engineering Materials, 569, 143-150. open in new tab
  11. Frohlich, C. (1979). An efficient method for joint hypocenter determination for large groups of earthquakes. Computers and Geosciences, 5(3-4), 387-389. https://doi.org/10.1016/0098- 3004(79)90034-7 open in new tab
  12. Geiger, L. (1912). Probability method for the determination of earthquake epicenters from the arrival time only. Bull. St. Louis Univ, 8(1), 56-71.
  13. Gharti, H. N., Oye, V., Roth, M., & Kühn, D. (2010). Automated microearthquake location using envelope stacking and robust global optimization. Geophysics, 75(4), MA27. https://doi.org/10.1190/1.3432784 open in new tab
  14. Gray, S. H., & May, W. P. (1994). Kirchhoff migration using eikonal equation traveltimes. Geophysics, 59(5), 810-817. https://doi.org/10.1190/1.1443639 open in new tab
  15. Grigoli, F., Cesca, S., Vassallo, M., & Dahm, T. (2013). Automated Seismic Event Location by Travel- Time Stacking: An Application to Mining Induced Seismicity. Seismological Research Letters, 84(4), 666-677. https://doi.org/10.1785/0220120191 open in new tab
  16. J. Gajewski, D., Anikiev, D., Kashtan, B., Tessmer, E., & Vanelle, C. (2007). Source Location by Diffraction Stacking, (June), 5-7. https://doi.org/10.3997/2214-4609.201401879 open in new tab
  17. Jankowski, R. (2015). Pounding Between Superstructure Segments in Multi-Supported Elevated Bridge with Three-Span Continuous Deck Under 3D Non-Uniform Earthquake Excitation. Journal of Earthquake and Tsunami, 9(4), 1550012. https://doi.org/10.1142/S1793431115500128 open in new tab
  18. Jankowski, R., & Mahmoud, S. (2015). Earthquake-Induced Structural Pounding. Springer. open in new tab
  19. Jankowski, R., & Mahmoud, S. (2016). Linking of adjacent three-storey buildings for mitigation of structural pounding during earthquakes. Bulletin of Earthquake Engineering, 14(11), 3075-3097. open in new tab
  20. Kao, H., & Shan, S. J. (2004). The Source-Scanning Algorithm: Mapping the distribution of seismic sources in time and space. Geophysical Journal International, 157(2), 589-594. https://doi.org/10.1111/j.1365-246X.2004.02276.x open in new tab
  21. King, G. E. (2012). Hydraulic Fracturing 101: What Every Representative, Environmentalist, Regulator, Reporter, Investor, University Researcher, Neighbor and Engineer Should Know About Estimating Frac Risk and Improving Frac Performance in Unconventional Gas and Oil Wells. S. Proceedings of the SPE Hydraulic Fracturing Technology Conference, 80 pp. https://doi.org/10.2118/152596-MS open in new tab
  22. Lomax, A., Virieux, J., & Volant, P. (2000). Probabilistic earthquake location in 3D and layered models. Advances in Seismic Event. open in new tab
  23. Montgomery, C. T., Smith, M. B., Technologies, N. S. I., Fracturing, H., Cooke, C. E., Dollarhide, F. E., … Poollen, H. K. Van. (2010). Hydraulic Fracturing -History of an enduring Technology. Journal of Petroleum Technology, (December), 26-41. https://doi.org/10.2118/1210-0026-JPT Naderpour, H., Barros, R. C., Khatami, S. M., & Jankowski, R. (2016). Numerical study on pounding between two adjacent buildings under earthquake excitation. Shock and Vibration, 2016. open in new tab
  24. Neidell, N. S., & Taner, M. T. (1971). Semblance and other coherency measures for multichannel data. Geophysics, 36(3), 482-497. open in new tab
  25. Osborn, S. G., Vengosh, A., Warner, N. R., & Jackson, R. B. (2011). Methane contamination of drinking water accompanying gas-well drilling and hydraulic fracturing. Proceedings of the National Academy of Sciences of the United States of America, 108(20), 8172-6. https://doi.org/10.1073/pnas.1100682108 open in new tab
  26. Rodriguez, I. (2011). Automatic Time-picking of Microseismic Data Combining STA/LTA and the Stationary Discrete Wavelet Transform. CSPG CSEG CWLS Convention, Convention Abstracts, (1), 2-5.
  27. Sabbione, J. I., & Velis, D. (2010). Automatic first-breaks picking: New strategies and algorithms. Geophysics, 75(4), V67-V76. https://doi.org/10.1190/1.3463703 open in new tab
  28. Waldhauser, F., & Ellsworth, W. L. (2000). A Double-difference Earthquake location algorithm: Method and application to the Northern Hayward Fault, California. Bulletin of the Seismological Society of America, 90(6), 1353-1368. https://doi.org/10.1785/0120000006 open in new tab
  29. Zhebel, O., & Eisner, L. (2012). Simultaneous microseismic event localization and source mechanism determination . SEG Las Vegas 2012 Annual Meeting Simultaneous microseismic event localization and source mechanism determination . SEG Las Vegas 2012 Annual Meeting, 1-5. open in new tab
  30. Zhebel, O., & Eisner, L. (2015). Simultaneous microseismic event localization and source mechanism determination. Geophysics, 80(1), KS1-KS9. https://doi.org/10.1190/geo2014-0055.1 open in new tab
Verified by:
Gdańsk University of Technology

seen 130 times

Recommended for you

Meta Tags