Downhole Microseismic Monitoring Using Time-Division Multiplexed Fiber-Optic Accelerometer Array

Microseismic monitoring is of importance for several geoscience research aspects and for applications in oil and gas industry. For signals generated by the ultra-weak microseismic events, conventional moving-coil geophone systems have reached their limit in detection sensitivity especially at high frequency range. Here we for the first time present a specially tailored fiber-optic sensing system targeting at downhole microseismic monitoring. The system contains 30 individual interferometric accelerometers and 2 reference sensors, which are time-division multiplexed into a 12-level vector seismic sensor array. The multiplexed accelerometers can achieve ~50 ng/ $\sqrt {\mathrm{Hz}} $ noise equivalent acceleration, which is superior to the commercial available moving-coil geophone systems at frequencies above 200 Hz. The measured sensitivity of the accelerometers can reach ~200 rad/g from 10 Hz to 1 kHz. The dynamic range is above 134 dB over the same frequency range and is higher than its electronic counterpart in the low frequency band. Moreover, the sensors can function properly under the harsh condition of 120 °C temperature and 40 MPa pressure over the 4-hour test duration. The sensor array along with the interrogator has been running uninterruptedly over 3 weeks in a multi-stage hydraulic fracturing stimulation field test. On-site results show that our system can clearly resolve the vector nature of both compressional and shear waves generated by the microseismic events.

[1]  Liu Fei,et al.  High-accuracy transient response fiber optic seismic accelerometer using a shock-absorbing ring as a mechanical antiresonator. , 2019, Optics letters.

[2]  Moshe Tur,et al.  Polarization-induced fading in fiber-optic sensor arrays , 1995 .

[3]  S C Huang,et al.  Time-division multiplexing of polarization-insensitive fiber-optic Michelson interferometric sensors. , 1995, Optics letters.

[4]  Shawn Maxwell,et al.  Differentiating Wet and Dry Microseismic Events Induced During Hydraulic Fracturing , 2015 .

[5]  J. Dettmer,et al.  Quantifying Fracture Networks Inferred From Microseismic Point Clouds by a Gaussian Mixture Model With Physical Constraints , 2019, Geophysical Research Letters.

[6]  Min Zhang,et al.  Efficient Common-Mode Noise Suppression for Fiber-Optic Interferometric Sensor Using Heterodyne Demodulation , 2016, Journal of Lightwave Technology.

[7]  Ruiqing He,et al.  A Fiber Optic Borehole Seismic Vector Sensor System for High Resolution CCUS Site Characterization and Monitoring , 2014 .

[8]  Davide Gei,et al.  The peak frequency of direct waves for microseismic events , 2013 .

[9]  N. R. Warpinski,et al.  Microseismic Monitoring: Inside and Out , 2009 .

[10]  Geoffrey A. Cranch,et al.  Large-scale multiplexed fiber optic arrays for geophysical applications , 2000, SPIE Optics East.

[11]  Leo Eisner,et al.  Challenges for microseismic monitoring , 2011 .

[12]  Ted Urbancic,et al.  Magnitude Determination , Event Detectability , and Assessing the Effectiveness of Microseismic Monitoring Programs in Petroleum Applications , 2010 .

[13]  Fredrik Kvalheim Eriksen,et al.  Source Localization of Microseismic Emissions During Pneumatic Fracturing , 2019, Geophysical Research Letters.

[14]  Ruiqing He,et al.  A Fiber Optic Single Well Seismic System for Geothermal Reservoir Imaging & Monitoring , 2019 .

[15]  Geoffrey A. Cranch,et al.  Large-scale remotely interrogated arrays of fiber-optic interferometric sensors for underwater acoustic applications , 2003 .

[16]  G. Hocker,et al.  Fiber optics strain gauge. , 1978, Applied optics.

[17]  Francis X. Bostick,et al.  High Resolution Fiber-Optic 3-C Seismic Sensor System for In-Well Imaging and Monitoring Applications , 2006 .

[18]  Min Zhang,et al.  Acousto-Optic Modulation Induced Noises on Heterodyne-Interrogated Interferometric Fiber-Optic Sensors , 2018, Journal of Lightwave Technology.

[19]  J. M. D. Freitas,et al.  Recent developments in seismic seabed oil reservoir monitoring applications using fibre-optic sensing networks , 2011 .

[20]  James N. Albright,et al.  Acoustic Emissions as a Tool for Hydraulic Fracture Location: Experience at the Fenton Hill Hot Dry Rock Site , 1982 .

[21]  P. J. Nash,et al.  Large-scale multiplexing of interferometric fiber-optic sensors using TDM and DWDM , 2001 .

[22]  Clay K. Kirkendall,et al.  Overview of high performance fibre-optic sensing , 2004 .

[23]  M. Hudyma Analysis and interpretation of clusters of seismic events in mines , 2008 .

[24]  Liao Yan-biao The Bandwidth and Crosstalk Analysis of Detection Circuit in Time-division Multiplexing of Fiber-optic Hydrophone , 2010 .

[25]  F. X. Bostick,et al.  Field test of a permanent in-well fiber-optic seismic system , 2005 .

[26]  Michael Fehler,et al.  Petroleum reservoir characterization using downhole microseismic monitoring , 2010 .

[27]  D. A. Jackson,et al.  PERFORMANCE ANALYSIS OF A FIBER OPTIC ACCELEROMETER BASED ON A COMPLIANT CYLINDER DESIGN , 1995 .

[28]  Serge A. Shapiro,et al.  Hydraulic‐fracturing controlled dynamics of microseismic clouds , 2006 .

[29]  Yuliang Liu,et al.  Crosstalk Analysis of a Fiber Laser Sensor Array System Based on Digital Phase-Generated Carrier Scheme , 2008, Journal of Lightwave Technology.

[30]  David A. Jackson,et al.  Design of a compliant-cylinder-type fiber-optic accelerometer: theory and experiment. , 1995, Applied optics.

[31]  Liu Fei,et al.  Experimental study on transient response of the fiber optic seismic accelerometer , 2018, Optical Fiber Technology.