1887

Abstract

Summary

We introduce an approach for analysis of microseismic waveform data. More precisely, we propose a method to assemble recordings into common-receiver gathers sorted in a way that neighboring traces in a gather correspond to events located close to each other. We assume that microseismic sources located at a small distance are expected to produce similar traces recorded at the same receiver. Therefore, apparent inconsistency between neighboring traces can be considered as an indication of some error in data. We present an algorithm for sorting microseismic recordings in the case when events are located and for the situation when only arrival picks are defined.

The algorithm is applied to a cloud of more than a thousand induced microseismic events recorded at two borehole arrays during one stage of hydraulic fracturing. We construct both arrival time based and location based gathers and show examples of wrong arrival time picks in a dataset which can hardly be revealed from the analysis of individual recordings or common-shot gathers. We demonstrate that this approach can be used for detecting secondary arrivals such as reflections. Presented algorithm is relatively simple and can be easily included into the microseismic data processing workflow as a quality control tool.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20141052
2014-06-16
2024-04-25
Loading full text...

Full text loading...

References

  1. Maxwell, S.C., Rutledge, J., Jones, R. and Fehler, M.
    [2010] Petroleum reservoir characterization using downhole microseismic monitoring. Geophysics, 75(5), 75A129–75A137.
    [Google Scholar]
  2. Mayerhofer, M., Lolon, E., Warpinski, N., Cipolla, C., Walser, D. and Rightmire, C.
    [2008] What is stimulated rock volume?SPE Shale Gas Production Conference, doi: 10.2118/119890‑MS.
    https://doi.org/10.2118/119890-MS [Google Scholar]
  3. Pavlis, G.L.
    [1992] Appraising relative earthquake location errors. Bulletin of the Seismological Society of America, 82(2), 836–859.
    [Google Scholar]
  4. Reshetnikov, A.
    [2013] Microseismic reflection imaging. Ph.D. thesis, Berlin, Freie Universität Berlin, Diss., 2013.
    [Google Scholar]
  5. Rothert, E. and Shapiro, S.A.
    [2007] Statistics of fracture strength and fluid-induced microseismicity. Journal of Geophysical Research: Solid Earth (1978–2012), 112(B4).
    [Google Scholar]
  6. Rutledge, J., Phillips, W. and Mayerhofer, M.
    [2004] Faulting induced by forced fluid injection and fluid flow forced by faulting: An interpretation of hydraulic-fracture microseismicity, Carthage Cotton Valley gas field, Texas. Bulletin of the Seismological Society of America, 94(5), 1817–1830.
    [Google Scholar]
  7. Shapiro, S.A., Rothert, E., Rath, V. and Rindschwentner, J.
    [2002] Characterization of fluid transport properties of reservoirs using induced microseismicity. Geophysics, 67, 212–220.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141052
Loading
/content/papers/10.3997/2214-4609.20141052
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error