A technique to determine systematic shifts in microseismic databases

Research output: Chapter in Book/Conference paperConference paper

Abstract

Due to the complex nature of the seismic response to mining, geotechnical engineers often require back analysis to provide a base line against which to interpret future behaviour. This practice assumes, and is reliant on, the database being consistent in space and time. Few tools are available for geotechnical engineers dedicated to the task of quantifying the consistency of the seismic database, and to aid in identifying systematic inconsistencies in their databases. A methodical approach is also required to warn geotechnical engineers of unexpected systematic shifts in their database as soon as they arise so that timeous and appropriate action can be taken. The industry collectively also requires a systematic approach to quantify the consistency of seismic databases. A technique is proposed to adequately address these aims. The technique is fast and efficient and can be easily employed on any database. By continuously updating results, users would know within a few tens to hundreds of events when data shifts have occurred. This would allow for the effective management of these errors in the database. Application of the method on some current industry databases showed that the shifts are sufficiently significant to render the use of some widely used analysis techniques unreliable. It is shown that shifts in the data have a significant influence on the interpretation of the source parameters. Systematic errors are causing significant artefacts in seismic databases. Of the 20 databases investigated, 70% had one or more systematic shifts a year, and only one database showed no shifts at all. There is justified concern with respect to systematic inconsistencies in seismic databases in the industry. Such inconsistencies could lead to misinterpretation of seismic analysis results, which will have a carry-on effect on other parts of the operations.
Original languageEnglish
Title of host publicationDeep Mining 2017
Subtitle of host publicationProceedings of the Eighth International Conference on Deep and High Stress Mining
EditorsJohan Wesseloo
Place of PublicationPerth, Australia
PublisherAustralian Centre for Geomechanics
Pages105-116
ISBN (Print)9780992481063
Publication statusPublished - 2017
Event8th International Conference on Deep and High Stress Mining - Perth, Australia
Duration: 28 Mar 201730 Mar 2017

Conference

Conference8th International Conference on Deep and High Stress Mining
CountryAustralia
CityPerth
Period28/03/1730/03/17

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industry
back analysis
source parameters
seismic response
artifact
analysis
effect
method

Cite this

Morkel, I. G., & Wesseloo, J. (2017). A technique to determine systematic shifts in microseismic databases. In J. Wesseloo (Ed.), Deep Mining 2017: Proceedings of the Eighth International Conference on Deep and High Stress Mining (pp. 105-116). Perth, Australia: Australian Centre for Geomechanics.
Morkel, Izak Gerhardus ; Wesseloo, Johan. / A technique to determine systematic shifts in microseismic databases. Deep Mining 2017: Proceedings of the Eighth International Conference on Deep and High Stress Mining. editor / Johan Wesseloo. Perth, Australia : Australian Centre for Geomechanics, 2017. pp. 105-116
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Morkel, IG & Wesseloo, J 2017, A technique to determine systematic shifts in microseismic databases. in J Wesseloo (ed.), Deep Mining 2017: Proceedings of the Eighth International Conference on Deep and High Stress Mining. Australian Centre for Geomechanics, Perth, Australia, pp. 105-116, 8th International Conference on Deep and High Stress Mining, Perth, Australia, 28/03/17.

A technique to determine systematic shifts in microseismic databases. / Morkel, Izak Gerhardus; Wesseloo, Johan.

Deep Mining 2017: Proceedings of the Eighth International Conference on Deep and High Stress Mining. ed. / Johan Wesseloo. Perth, Australia : Australian Centre for Geomechanics, 2017. p. 105-116.

Research output: Chapter in Book/Conference paperConference paper

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AB - Due to the complex nature of the seismic response to mining, geotechnical engineers often require back analysis to provide a base line against which to interpret future behaviour. This practice assumes, and is reliant on, the database being consistent in space and time. Few tools are available for geotechnical engineers dedicated to the task of quantifying the consistency of the seismic database, and to aid in identifying systematic inconsistencies in their databases. A methodical approach is also required to warn geotechnical engineers of unexpected systematic shifts in their database as soon as they arise so that timeous and appropriate action can be taken. The industry collectively also requires a systematic approach to quantify the consistency of seismic databases. A technique is proposed to adequately address these aims. The technique is fast and efficient and can be easily employed on any database. By continuously updating results, users would know within a few tens to hundreds of events when data shifts have occurred. This would allow for the effective management of these errors in the database. Application of the method on some current industry databases showed that the shifts are sufficiently significant to render the use of some widely used analysis techniques unreliable. It is shown that shifts in the data have a significant influence on the interpretation of the source parameters. Systematic errors are causing significant artefacts in seismic databases. Of the 20 databases investigated, 70% had one or more systematic shifts a year, and only one database showed no shifts at all. There is justified concern with respect to systematic inconsistencies in seismic databases in the industry. Such inconsistencies could lead to misinterpretation of seismic analysis results, which will have a carry-on effect on other parts of the operations.

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SN - 9780992481063

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BT - Deep Mining 2017

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PB - Australian Centre for Geomechanics

CY - Perth, Australia

ER -

Morkel IG, Wesseloo J. A technique to determine systematic shifts in microseismic databases. In Wesseloo J, editor, Deep Mining 2017: Proceedings of the Eighth International Conference on Deep and High Stress Mining. Perth, Australia: Australian Centre for Geomechanics. 2017. p. 105-116