Comparison of surface and borehole locations of induced seismicity

Monitoring of induced microseismic events has become an important tool in hydraulic fracture diagnostics and understanding fractured reservoirs in general. We compare microseismic event and their uncertainties using data sets obtained with surface and downhole arrays of receivers. We first model the uncertainties to understand the effect of different acquisition geometries on location accuracy. For a vertical array of receivers in a single monitoring borehole, we find that the largest part of the final location uncertainty is related to estimation of the backazimuth. This is followed by uncertainty in the vertical position and radial distance from the receivers. For surface monitoring, the largest uncertainty lies in the vertical position due to the use of only a single phase (usually P-wave) in the estimation of the event location. In surface monitoring results, lateral positions are estimated robustly and are not sensitive to the velocity model. In this case study, we compare event location solutions from two catalogues of microseismic events; one from a downhole array and the second from a surface array of 1C geophone. Our results show that origin time can be reliably used to find matching events between the downhole and surface catalogues. The locations of the corresponding events display a systematic shift consistent with a poorly calibrated velocity model for downhole dataset. For this case study, locations derived from surface monitoring have less scatter in both vertical and horizontal directions.

[1]  Peter M. Duncan,et al.  Surface Based Microseismic Monitoring of a Hydraulic Fracture Well Stimulation in the , 2006 .

[2]  James T. Rutledge,et al.  Hydraulic stimulation of natural fractures as revealed by induced microearthquakes, Carthage Cotton Valley gas field, east Texas , 2003 .

[3]  L. Eisner,et al.  Uncertainties in passive seismic monitoring , 2009 .

[4]  Tomáš Fischer,et al.  Microseismic signatures of hydraulic fracture growth in sediment formations: Observations and modeling , 2008 .

[5]  A. Tarantola,et al.  Inverse problems = Quest for information , 1982 .

[6]  James T. Rutledge,et al.  Induced microearthquake patterns and oil-producing fracture systems in the Austin chalk , 1998 .

[7]  Leo Eisner,et al.  Application of Relative Location Technique from Surface Arrays to Microseismicity Induced by Shale Fracturing , 2009 .

[8]  L. Eisner,et al.  Observation of Shear-wave Splitting from Microseismicity Induced by Hydraulic Fracturing – A Non-VTI Story , 2009 .

[9]  Leo Eisner,et al.  NOISE SUPPRESSION FOR DETECTION AND LOCATION OF MICROSEISMIC EVENTS USING A MATCHED FILTER , 2008 .

[10]  V. Červený,et al.  Seismic Ray Theory , 2001, Encyclopedia of Solid Earth Geophysics.

[11]  C. Pearson,et al.  The relationship between microseismicity and high pore pressures during hydraulic stimulation experiments in low permeability granitic rocks , 1981 .

[12]  Tomáš Fischer,et al.  Determination of S‐wave slowness from a linear array of borehole receivers , 2009 .

[13]  L. Eisner,et al.  Importance of borehole deviation surveys for monitoring of hydraulic fracturing treatments , 2007 .

[14]  Tomáš Fischer,et al.  Detection of repeated hydraulic fracturing (out-of-zone growth) by microseismic monitoring , 2006 .