Evaluation of seismic events detection algorithms

Sharma, Birendra Kumar; Kumar, Amod; Murthy, V. M. S. R.

doi:10.1007/s12594-010-0042-8

Cited by 78 publications

(29 citation statements)

References 18 publications

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“…Recently, an iterative semi-automatic picking procedure based on stacked pilot traces and cross-correlation has been introduced to reduce errors in phase picking (Rowe, et al [28], de Meersman et al [18]). However, Sharma, et al [29] emphasize that no time-picking algorithm is optimal under all conditions, especially under noisy conditions, and thus understanding the parameters and limitations is necessary (Akram and Eaton [30]).…”

Section: Arrival Time Pickingmentioning

confidence: 99%

Borehole Microseismic Imaging of Hydraulic Fracturing: A Pilot Study on a Coal Bed Methane Reservoir in Indonesia

Septyana²,

Widiyantoro

et al. 2019

J. Eng. Technol. Sci.

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Over the last decade, microseismic monitoring has emerged as a considerable and capable technology for imaging stimulated hydraulic fractures in the development of unconventional hydrocarbon resources. In this study, pilot hydraulic-fracturing treatments were operated at a coal-bed methane (CBM) field in Indonesia to stimulate the flow and increase the reservoir's permeability while the monitoring system was set in a single near-vertical borehole. Locating event sources accurately is fundamental to investigating the induced fractures, but the geometry of a single downhole array is a challenging data processing task, especially to remove ambiguity of the source locations. The locating procedure was reviewed in 3 main steps: (i) accurate picking of P-and S-wave phases; (ii) inclusion of P-wave particle motion to estimate the back azimuth; (iii) guided inversion for hypocenter determination. Furthermore, the seismic-source moment magnitudes were calculated by employing Brune's model. Reliable solutions of locations were obtained as shown statistically by uncertainty ellipsoids and a small misfit. Based on our results, both induced and triggered seismicity could be observed during the treatments and therefore conducting intensive monitoring is important. The triggered seismicity is an undesired activity so disaster precautions need to be taken, in particular for preventing reactivation of preexisting faults.

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Section: Arrival Time Pickingmentioning

confidence: 99%

Borehole Microseismic Imaging of Hydraulic Fracturing: A Pilot Study on a Coal Bed Methane Reservoir in Indonesia

Septyana²,

Widiyantoro

et al. 2019

J. Eng. Technol. Sci.

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“…The accuracy of the analysis data depends on the STA and LTA window sizes and threshold value. The STA and LTA are represented as follows [11][12][13].…”

Section: Seismic Data Analysis and Sta/ Lta Algorithmmentioning

confidence: 99%

Neural Network-Based Laser Interferometer Compensation for Seismic Signal Detection

2018

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We propose a seismic wave detection method in the frequency domain using a heterodyne laser interferometer, which is used in ultraprecision fields as a displacement measurement device. In seismology, it is important to accurately measure seismic waves. To overcome the limited frequency range and low resolution of accelerometers and velocimeters and to enhance the precision of seismic data analysis, we use the heterodyne laser interferometer as a seismic detection apparatus. We apply the data fusion algorithm with the adaptive standard deviation ratio (ς) derived from the neural network to improve the laser interferometer's measurement precision. Moreover, by using the interferometric characteristics, we analyze the seismic data in the frequency domain. To determine the location of the epicenter from the body wave propagation analysis, we apply the STA/LTA algorithm to the measurement data. The effectiveness of the proposed laser interferometric seismometer is shown through experiments to locate the precise epicenter.

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“…Posteriormente la transformada discreta de Fourier (DFT -FFT) [17] es usada para pasar la señal al dominio de la frecuencia y poder eliminar el ruido que afecta a los picos de la señal (alta frecuencia) mediante un filtro pasa-bajos. Se usa Short Term Averaging / Long Term Averaging (STA/LTA) [18] en la detección de picos por su ligereza, mínima intensidad de cálculo (ahorro de batería) y su extenso uso en sismología; relaciona ventanas cortas con ventanas largas determinando si la señal sobrepasa un umbral dinámico que varía dependiendo del valor de la relación entre ventanas. El mantener un umbral dinámico ayuda a que movimientos periódicos del usuario como correr, trotar, caminar, etc., que presentarán un umbral superior al normal, sean descartados como un pico sísmico.…”

Section: Arquitecturaunclassified

Distributed Sensor System for Earthquake Early Warning Based on the Massive Use of Low Cost Accelerometers

Vizuete

Llopis

Palau

et al. 2015

IEEE Latin Am. Trans.

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This paper presents a different and innovative proposal to detect seismic events, a solution that uses smartphones as opportunistic sensor nodes to obtain real-time knowledge of the community environment through a hierarchical architecture, taking advantage of this growing trend. A distributed low-cost network formed of smartphones capable of detect a seismic-peak with a high accuracy by means of converting accelerometers in accelerographs optimizing distributed calculations in these. A server which considers time and spatial analyses not present in another works, making it more precise and customizable, coupling it to the features of the geographical zone, network and resources. Validated by extensive evaluation, the most relevant results have been the improvement in notifications delivery about a seismic-peak 12 seconds earlier in the epicenter zone, the reduced consumption of mobile battery and the reduction in the number of false positives. In addition, this challenge becomes an great opportunity giving people as much as tens of seconds warning before an earthquake occurs in places far from the epicenter.

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Evaluation of seismic events detection algorithms

Cited by 78 publications

References 18 publications

Borehole Microseismic Imaging of Hydraulic Fracturing: A Pilot Study on a Coal Bed Methane Reservoir in Indonesia

Borehole Microseismic Imaging of Hydraulic Fracturing: A Pilot Study on a Coal Bed Methane Reservoir in Indonesia

Neural Network-Based Laser Interferometer Compensation for Seismic Signal Detection

Distributed Sensor System for Earthquake Early Warning Based on the Massive Use of Low Cost Accelerometers

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