Analysis of Passive Surface-wave Noise In Surface Microseismic Data And Its Implications

Tight gas reservoirs are projected to be a major portion of future energy resources. Because of their low permeability, hydraulic fracturing of these reservoirs is required to improve the permeability and reservoir productivity. Passive seismic monitoring is one of the few tools that can be used to characterize the changes in the reservoir due to hydraulic fracturing. Although the majority of the studies monitoring hydraulic fracturing exploit down hole microseismic data, surface microseismic monitoring is receiving increased attention because it is potentially much less expensive to acquire. Due to a broader receiver aperture and spatial coverage, surface microseismic data may be more advantageous than down hole microseismic data.

[1]  Gerard T. Schuster,et al.  Interferometric Predcition and Least Squares Subtraction of Surface Waves , 2006 .

[2]  K. Wapenaar Retrieving the elastodynamic Green's function of an arbitrary inhomogeneous medium by cross correlation. , 2004, Physical review letters.

[3]  David Halliday,et al.  Seismic surface waves in a suburban environment : Active and passive interferometric methods , 2008 .

[4]  V. G. Savin,et al.  Imaging hydraulic fracture zones from surface passive microseismic data , 2007 .

[5]  Paul A. Milligan,et al.  Analysis and removal of multiply scattered tube waves , 2000 .

[6]  Mark E. Willis,et al.  Noise suppression in surface microseismic data , 2012 .

[7]  Gérard C. Herman,et al.  Predictive removal of scattered noise , 2006 .

[8]  Roel Snieder,et al.  Application of seismic interferometry to extract P- and S-wave propagation and observation of shear-wave splitting from noise data at Cold Lake, Alberta, Canada , 2008 .

[9]  Gérard C. Herman,et al.  Inverse scattering of surface waves: A new look at surface Consistency , 1994 .

[10]  Michel Campillo,et al.  High-Resolution Surface-Wave Tomography from Ambient Seismic Noise , 2005, Science.

[11]  R. Snieder,et al.  Are long-period body wave coda caused by lateral heterogeneity? , 1991 .

[12]  Kees Wapenaar,et al.  Reflection images from ambient seismic noise , 2009 .

[13]  Jianghai Xia,et al.  Multichannel analysis of surface waves (MASW)—active and passive methods , 2007 .

[14]  Roel Snieder,et al.  IN SITU MEASUREMENTS OF SHEAR‐WAVE VELOCITY IN SEDIMENTS WITH HIGHER‐MODE RAYLEIGH WAVES* , 1987 .

[15]  Kit Chambers,et al.  Testing the ability of surface arrays to monitor microseismic activity , 2010 .

[16]  Colin M. Sayers,et al.  Characterization of Microseismic Data In Gas Shales Using the Radius of Gyration Tensor , 2010 .

[17]  B. Artman,et al.  Signal-to-noise estimates of time-reverse images , 2010 .

[18]  J. Capon,et al.  Coda pattern and multipath propagation of Rayleigh waves at NORSAR , 1974 .

[19]  Leo Eisner,et al.  Reservoir characterization using surface microseismic monitoring , 2010 .

[20]  Peter Gerstoft,et al.  Seismic interferometry-turning noise into signal , 2006 .

[21]  Neil Lennart Anderson,et al.  Active-passive Array Surface Wave Inversion and Comparison to Borehole Logs in Southeast Missouri , 2005 .

[22]  Peter Gerstoft,et al.  Green’s functions extraction and surface-wave tomography from microseisms in southern California , 2006 .

[23]  Jianghai Xia,et al.  Generating an Image of Dispersive Energy by Frequency Decomposition and Slant Stacking , 2007 .

[24]  Leo Eisner,et al.  Comparison of surface and borehole locations of induced seismicity , 2010 .

[25]  Richard D. Miller,et al.  Multichannel analysis of surface waves , 1999 .

[26]  Auke Ditzel,et al.  Removal of scattered guided waves from seismic data , 2002 .

[27]  Yingjie Yang,et al.  Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements , 2007 .

[28]  P. Troitskiy,et al.  Emission tomography: Main ideas, results, and prospects , 1991 .

[29]  G. McMechan,et al.  Analysis of dispersive waves by wave field transformation , 1981 .

[30]  Andrey Bakulin,et al.  The virtual source method: Theory and case study , 2006 .

[31]  R. Snieder Extracting the Green's function from the correlation of coda waves: a derivation based on stationary phase. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.