Extending the double-difference location technique to mining applications part I: Numerical study

Rudziński, Łukasz; Dębski, Wojciech

doi:10.2478/s11600-011-0021-5

Cited by 15 publications

(17 citation statements)

References 28 publications

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“…The EDD location technique was originally proposed in order to include the specific demands of the mining seismic environment, such as event clustering (Gibowicz and Lasocki 2001;OrleckaSikora and Lasocki 2002) and continuous changing of the monitoring system (Mendecki and Sciocatti 1997;Rudzinski and Debski 2011), in the DD method. We expected the resulting algorithm to have a large enough spatial resolution to enable a detailed analysis of the structure of the spatial seismic clusters.…”

Section: Discussionmentioning

confidence: 99%

“…using the Metropolis algorithm with settings as in Rudzinski and Debski (2011). No a priori information was used.…”

Section: Rudna Copper Mine Casementioning

confidence: 99%

“…Again, this results in rejecting a number of events from the DD analysis because the events recorded before and after a network update cannot be located together due to differences in network configuration. Having identified the problems with using the DD algorithm, we have proposed its extension and call it the extended double difference (EDD) (Rudzinski and Debski 2011). In the cited paper, we already noticed an improvement of the depth estimation achieved by the EDD algorithm with respect to the DD one.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we push forward the previous analysis (Rudzinski and Debski 2011) of the performance of the DD and EDD algorithms, concentrating this time on the resolution of the hypocenter depth and using real mining rockburst data as a case study.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Extending the double difference location technique—improving hypocenter depth determination

Rudziński

Dębski

2012

J Seismol

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Locating the seismic event hypocenter is the very first issue undertaken when studying any seismological problem. Thus, the accuracy of the obtained solution can significantly influence consecutive stages of an analysis, so there is a continuous demand for new, more efficient, and accurate location algorithms. It is well recognized that there exists no single universal location algorithm which performs equally well in all situations. Seismic activity and its spatial variability over time, seismic network geometry, and the controlled area's geological complexity are factors influencing the performance of location algorithms. For example, in the case of mining applications, the planarity of the seismic network usually operated at the exploitation level becomes an important issue limiting the accuracy of location of the hypocenter depths. In this paper, we push forward the discussion on the performance of the newly proposed location algorithm called the extended double difference (EDD), concentrating on the reliability of source depth estimation for L. Rudziński (B) · W. Dȩbski Institute of Geophysics Polish Academy of Sciences, ul. Ks. Janusza 64, 01-452 Warsaw, Poland e-mail: rudzin@igf.edu.pl W. Dȩbski e-mail: debski@igf.edu.pl mining-induced seismic events. We demonstrate that the EDD algorithm very efficiently uses information originating from the nonplanarity of the seismic network, improving the hypocenter depth estimates with respect to the classical double difference technique. Methodological considerations are illustrated by real data analysis of selected events from the Rudna copper mine (Poland).

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Section: Discussionmentioning

confidence: 99%

“…using the Metropolis algorithm with settings as in Rudzinski and Debski (2011). No a priori information was used.…”

Section: Rudna Copper Mine Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Extending the double difference location technique—improving hypocenter depth determination

Rudziński

Dębski

2012

J Seismol

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“…In oint event location, events are relocated according to the location of the so-called ''master event'' (Douglas 1967). Relative location methods usually improve the accuracy of source location; however, they are strongly influenced by data quality, similarly to non-relative methods of location (Rudzinski and Debski 2011;Debski and Klejment 2016). The crucial factors are determination errors of the aforementioned parameters, like P or S wave onsets.…”

Section: Introductionmentioning

confidence: 99%

Time reversal seismic source imaging using peak average power ratio (PAPR) parameter

2017

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The time reversal method has become a standard technique for the location of seismic sources. It has been used both for acoustic and elastic numerical modelling and for 2D and 3D propagation models. Although there are many studies concerning its application to point sources, little so far has been done to generalise the time reversal method to the study of sequences of seismic events. The need to describe such processes better motivates the analysis presented in this paper. The synthetic time reversal imaging experiments presented in this work were conducted for sources with the same origin time as well as for the sources with a slight delay in origin time. For efficient visualisation of the seismic wave propagation and interference, a new coefficient-peak average power ratiowas introduced. The paper also presents a comparison of visualisation based on the proposed coefficient against a commonly used visualisation based on a maximum value.

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Additional Topics in Microseismic Data Processing

Akram¹

2020

Understanding Downhole Microseismic Data Analysis

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Extending the double-difference location technique to mining applications part I: Numerical study

Cited by 15 publications

References 28 publications

Extending the double difference location technique—improving hypocenter depth determination

Extending the double difference location technique—improving hypocenter depth determination

Time reversal seismic source imaging using peak average power ratio (PAPR) parameter

Additional Topics in Microseismic Data Processing

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