Interferometric Imaging of Microseismic Data

Cole, Steve; Karrenbach, Martin; Roche, Steven L.; Gumble, Jason E.; LaFlame, Lisa; Emuh, Melissa; Yartsev, Victor; Bartling, Bill

doi:10.1190/segam2015-5876692.1

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…To characterize the development of internal fractures in shale oil and gas reservoirs and accurately estimate the volume of reservoir reconstruction, it is necessary to improve the accuracy of microseismic source locations, the spatial resolution of passive‐source imaging and detailed event characterization ability. Generally, passive seismic source‐location imaging can be regarded as an inversion problem and solved by various approaches (Husen et al ., 2003; Cole et al ., 2015; Reshetnikov et al ., 2015; Liang et al ., 2016; Chen et al ., 2021). These methods can be divided into methods based on the first arrival of the microseismic and wave equation imaging.…”

Section: Introductionmentioning

confidence: 99%

High‐resolution and robust microseismic grouped imaging and grouping strategy analysis

Huang

Chen

Saad

et al. 2022

Geophysical Prospecting

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As an advanced real-time monitoring technique, microseismic source-location imaging provides valuable information during hydraulic fracturing, for example, the development of fracture networks and the effective reservoir reconstruction volume. However, microseismic data always suffer from weak induced energy and susceptibility to noise interference. In the case of a low signal-to-noise ratio, it is extremely challenging to perform robust microseismic imaging. Here, we first introduce several state-of-theart imaging conditions and two hybrid imaging conditions, which are followed by a detailed analysis of the impact of different grouping strategies. Then, we briefly analyse the sensitivity of different imaging conditions to noise using a one-dimensional signal. Next, several benchmark models, including two-dimensional Marmousi-II and three-dimensional SEG Advanced Modeling, are used as numerical examples for testing the passive-source imaging algorithms. Finally, three-dimensional real microseismic data are used to further investigate the impact of the grouping strategy on the imaging. The numerical examples and field data demonstrate the effectiveness of the proposed grouping strategy for the grouped imaging conditions.

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Section: Introductionmentioning

confidence: 99%

High‐resolution and robust microseismic grouped imaging and grouping strategy analysis

Huang

Chen

Saad

et al. 2022

Geophysical Prospecting

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“…In recent years, various seismic migration methods using passive seismic events have been used for imaging Earth structures such as faults and fractures (Chavarria et al, ; Zhang et al, ; Reshetnikov et al, ; Reshetnikov et al, ; Cole et al, ; Lin & Zhang, ; Grechka et al, ; Lin et al, ; Nakata et al, 2018). When the propagating wavefield from passive seismic source encounters discontinuities in the medium, transmission, scattering, and mode conversion of the wavefield occur, and the transmitted, scattered, and converted waves are then recorded in the seismograms.…”

Section: Introductionmentioning

confidence: 99%

Source‐Independent Passive Seismic Reverse‐Time Structure Imaging With Grouping Imaging Condition: Method and Application to Microseismic Events Induced by Hydraulic Fracturing

et al. 2020

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Seismic imaging with active seismic sources can be used to image subsurface structures such as faults, fractures, and layer interfaces with higher resolutions than tomographic methods. However, for characterizing large‐scale three‐dimensional structures, oftentimes it is too expensive and thus impractical to conduct active seismic survey. Seismic imaging using passive sources has been used to image structures through the “pseudoactive” source imaging by assuming source information is known. However, in practice there exist some uncertainties on source information including location, origin time, source time function, and radiation pattern, which can inevitably affect the final imaging result. In this study, we propose a new source‐independent passive seismic imaging method based on reverse‐time imaging with converted waves and a new imaging condition. This method uses the interference between P and S waves at conversion points for structure imaging by back‐propagating seismograms recorded by all receivers. Since no forward modeling is needed in this method, source information is not needed. A new grouping imaging condition is proposed to improve the image resolution, in which seismic receivers are divided into several groups and the separated P and S wavefields of different groups are multiplied and then stacked over time to get an image. We test the new method on both synthetic and real data sets based on a downhole microseismic system that is used for monitoring a shale gas hydraulic fracturing treatment. The results show that the proposed passive seismic imaging method does not depend on knowing source information and can achieve higher imaging resolution.

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2020

Anisotropy and Microseismics: Theory and Practice

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Interferometric Imaging of Microseismic Data

Cited by 6 publications

References 7 publications

High‐resolution and robust microseismic grouped imaging and grouping strategy analysis

High‐resolution and robust microseismic grouped imaging and grouping strategy analysis

Source‐Independent Passive Seismic Reverse‐Time Structure Imaging With Grouping Imaging Condition: Method and Application to Microseismic Events Induced by Hydraulic Fracturing

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