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Microseismic analysis over a single horizontal distributed acoustic sensing fiber using guided waves

Lellouch, Ariel and Luo, Bin and Huot, Fantine and Clapp, Robert G. and Given, Paige and Biondi, Ettore and Nemeth, Tamas and Nihei, Kurt T. and Biondi, Biondo L. (2022) Microseismic analysis over a single horizontal distributed acoustic sensing fiber using guided waves. Geophysics, 87 (3). KS83-KS95. ISSN 0016-8033. doi:10.1190/geo2021-0418.1.

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A single horizontal distributed acoustic sensing (DAS) fiber is notoriously challenging for microseismic analysis even when it is close to recorded events. Due to its uniaxial measurement, locations suffer from circular ambiguity. Nonetheless, in unconventional plays, the presence of dispersive guided waves in the DAS records can partially resolve such ambiguity. If the reservoir has lower seismic velocities than its surrounding medium, it can act as a waveguide. In this case, guided waves are generated only by microseismic events occurring inside or close to the reservoir, and their propagation is confined to the reservoir. We first train a machine learning model for microseismic event detection using a unique data set of almost 7000 manually picked events and an equal number of noise windows. Applying the trained model to 10 stimulation stages from two offset wells yields more than 100,000 event detections, with a higher sensitivity than manual labeling. Detected events undergo a localization procedure based on the dispersion properties of guided waves, estimated in-situ from known perforation shots. Location results allow us to reconstruct the spatio-temporal pattern of fracture development. We observe a dominant fracture propagation direction for all stages, which indicates the effect of the regional stress in the reservoir. We qualitatively validate the direction and extent of the fracture growth by perforation shot analysis. We have found the first application of microseismic event location with a single straight fiber, which is considered impossible without a waveguide structure.

Item Type:Article
Related URLs:
URLURL TypeDescription
Lellouch, Ariel0000-0002-9913-7191
Luo, Bin0000-0002-4155-9746
Clapp, Robert G.0000-0002-1336-428X
Biondi, Ettore0000-0002-3305-0982
Nemeth, Tamas0000-0001-7175-9530
Biondi, Biondo L.0000-0002-0961-2287
Additional Information:© 2022 Society of Exploration Geophysicists. Manuscript received by the Editor 29 June 2021; revised manuscript received 11 January 2022; published ahead of production 18 February 2022; published online 11 March 2022. We thank Chevron Technical Center for providing data and permission to publish this study and D. Bevc for his support and encouragement. We are grateful to I. L. C. Ning and Z. Zhang for their useful and constructive comments. This study was supported in part by the Center of Research Excellence (CoRE) supported by Chevron. Data and Materials Availability: Data associated with this research are confidential and cannot be released.
Funding AgencyGrant Number
Chevron CorporationUNSPECIFIED
Subject Keywords:distributed acoustic sensors, microseismic, machine learning, hydraulic fracturing, borehole geophysics
Issue or Number:3
Record Number:CaltechAUTHORS:20220628-928086600
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Official Citation:Ariel Lellouch, Bin Luo, Fantine Huot, Robert G. Clapp, Paige Given, Ettore Biondi, Tamas Nemeth, Kurt T. Nihei, Biondo L. Biondi; Microseismic analysis over a single horizontal distributed acoustic sensing fiber using guided waves. Geophysics 2022; 87 (3): KS83–KS95. doi:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:115282
Deposited By: Tony Diaz
Deposited On:28 Jun 2022 17:58
Last Modified:28 Jun 2022 17:58

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