Estimation of the quality factor based on the microseismicity recordings from Northern Poland

Wandycz, Paweł; Święch, Eryk; Eisner, Leo; Pasternacki, Andrzej; Wcisło, Miłosz; Maćkowski, Tomasz

doi:10.1007/s11600-019-00362-7

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…• The proposed technique has the advantage that it requires only the location of the event and the measure of the PGVs that, compared to other measures such as P-and S-wave picking (necessary to imple- 12,800-9200 -605.894 < 0.0001 ment tomographic approaches) or P-wave pulse width measure (e.g., Zollo and de Lorenzo 2001) or the peak frequency (e.g., Wandycz et al 2019) are more readily measured after the earthquake occurrence. Table 9 Coefficients and relative uncertainties for the resolution analysis…”

Section: Results and Conclusionmentioning

confidence: 99%

“…The idea of the present analysis is supported by empirical analyses that recognize the need of regionalizing the GMPE in terms of anelastic attenuation in addition to the geometrical attenuation to avoid, for example, an overestimation of the residual standard deviation (Atkinson and Morrison 2009;Kale et al 2015;Kotha et al 2016) and by theoretical studies that demonstrate how peak-ground motion parameters and peak frequency parameters are related to earthquake stress-drop, geometrical spreading and anelastic attenuation (Baltay et al 2013;Lior and Ziv 2018;Wandycz et al 2019). It is thus possible to think of an inverse procedure that allows to infer stress-drop or anelastic attenuation from peak-ground motion parameters (e.g., Lior and Ziv2018).…”

Section: Introductionmentioning

confidence: 88%

“…Similar results have been obtained by Hutching et al (2019) by analyzing earthquakes recorded during field operations at The Geysers geothermal field and by Wcisło et al (2017) who found high attenuation values (Q P ~ 48 and Q P /Q S < 1) analyzing seismicity induced by the injection of wastewater in the Costa Molina 2 well in southern Italy. Wandycz et al (2019) measured the variation of the anelastic attenuation based on the microseismicity recordings in Northern Poland during hydraulic stimulation of the two unconventional gas reservoirs. They found that anelastic attenuation varies from 60 to 90 for the Lubocino dataset and has average values of 100 and 124, for P-and S-wave, respectively, in the case of Wysin.…”

Section: Introductionmentioning

confidence: 99%

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Using ground motion prediction equations to monitor variations in quality factor due to induced seismicity: a feasibility study

et al. 2020

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Sub-surface operations for energy production such as gas storage, fluid reinjection or hydraulic fracking may modify the physical properties of the rocks, in particular the seismic velocity and the anelastic attenuation. The aim of the present study is to investigate, through a synthetic test, the possibility of using empirical ground-motion prediction equations (GMPEs) to observe the variations in the reservoir. In the synthetic test, we reproduce the expected seismic activity (in terms of rate, focal mechanisms, stress drop and the b value of the Gutenberg-Richter) and the variation of medium properties in terms of the quality factor Q induced by a fluid injection experiment. In practice, peak-ground velocity data of the simulated earthquakes during the field operations are used to update the coefficients of a reference GMPE in order to test whether the coefficients are able to capture the medium properties variation. The results of the test show that the coefficients of the GMPE vary during the simulated field operations revealing their sensitivity to the variation of the anelastic attenuation. The proposed approach is suggested as a promising tool that, if confirmed by real data analysis, could be used for monitoring and interpreting induced seismicity in addition to more conventional techniques.

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Section: Results and Conclusionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

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Using ground motion prediction equations to monitor variations in quality factor due to induced seismicity: a feasibility study

et al. 2020

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“…However, laboratory measurements (e.g. 20 , 21 ) and data analysis recorded during field operations 6 , 22 suggest that the same phenomena can also affect the anelastic attenuation of the rocks since anelastic attenuation is generally assumed to be due to inter-crack motion or fluid flow between pores depending on the rock type (e.g. 19 ).…”

Section: Discussionmentioning

confidence: 99%

Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation

Convertito

Matteis

Amoroso

et al. 2022

Sci Rep

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Sub surface operations for energy production such as gas storage, fluid injection or hydraulic fracking modify the physical properties of the crust, in particular seismic velocity and anelastic attenuation. Continuously measuring these properties may be crucial to monitor the status of the reservoir. Here we propose a not usual use of the empirical ground-motion prediction equations (GMPEs) to monitor large-scale medium properties variations in a reservoir during fluid injection experiments. In practice, peak-ground velocities recorded during field operations are used to update the coefficients of a reference GMPE whose variation can be physically interpreted in terms of anelastic attenuation and seismic velocity. We apply the technique to earthquakes recorded at The Geysers geothermal field in Southern California and events occurred in the St. Gallen (Switzerland) geothermal field. Our results suggest that the GMPEs can be effectively used as a proxy for some reservoir properties variation by using induced earthquakes recorded at relatively dense networks.

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A new insight to access carbonate reservoir quality using quality factor and velocity deviation log

Larki,

Jaffarbabaei,

Soleimani

et al. 2023

Acta Geophys.

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Estimating wave damping in carbonate rocks is complex due to their heterogeneous structure. For this reason, further research in this area is still necessary. Since the identification and evaluation of reservoir quality play an essential role in the optimal use of hydrocarbon resources, efforts are made to provide new solutions to achieve this goal by managing knowledge and accessing information from new tools such as the Vertical Seismic Profile (VSP). Seismic waves are deformed in frequency content and amplitude as they pass through the earth's layers. Part of the reduction in wavelength is related to the nature of the wave propagation and part to the geological properties, including porosity and fracture. Anisotropy and velocity model analysis, rather than the direct connection between reservoir parameters and seismic absorption coefficient, have received the majority of attention in earlier studies on the impact of reservoir parameters and fractures on changes in the quality factor. In this study, the correlation of the quality factor with parameters such as velocity deviation, fracture density, and permeability has been investigated, and an attempt has been made to define the quality factor as a tool to assess the quality of the reservoir. The statistical study using the multiple linear regression method found that fracture density is the most important parameter that follows the trend of the quality factor value. In the analysis, the quality factor showed a relatively good correlation with the permeability of the core data, so in the periods with maximum permeability, the quality factor had the lowest values. According to K-Means Clustering Analysis, 18% of the studied reservoir interval was evaluated as good quality, 33% as medium, 36% as poor, and 12% as hydrocarbon-free. This work provides insight into accessing reservoir quality using quality factor and velocity deviation logs and would be valuable for the development of reservoir quality prediction methods. Based on the study's results, it is recommended to apply this technique for modeling reservoir heterogeneity and assessing 2D and 3D seismic data to predict the reservoir quality of gas fields prior to drilling operations and reduce exploration risks.

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Estimation of the quality factor based on the microseismicity recordings from Northern Poland

Cited by 6 publications

References 17 publications

Using ground motion prediction equations to monitor variations in quality factor due to induced seismicity: a feasibility study

Using ground motion prediction equations to monitor variations in quality factor due to induced seismicity: a feasibility study

Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation

A new insight to access carbonate reservoir quality using quality factor and velocity deviation log

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