Local seismologic observations of karst processes

Malovichko, Dmitriy; Kadebskaya, Olga; Shulakov, D. Yu.; Butyrin, P. G.

doi:10.1134/s1069351310010052

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…(Klarner et al, 2005) adopted the AVO model, building the connections between various diagenetic histories and seismic response characteristics; by analyzing seismic forward modeling. (Malovichko et al, 2010) initially put forward the concept of the quantitative relationship between geometric shape and rock physics parameters after elimination of the variated response characteristics arising from the nonreservoir itself. (Min et al, 2011) drew the conclusion of response characteristics reflecting from the stack migration profile of cave reservoir bodies based on seismic forward modeling of inhomogeneous medium.…”

Section: State Of the Artmentioning

confidence: 99%

RETRACTED ARTICLE: A research on seismic forward modeling of hydrothermal dolomite：An example from Maokou formation in Wolonghe structure, eastern Sichuan Basin, SW China

Zhu

Gao²,

Pan

et al. 2020

European Journal of Remote Sensing

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To solve the problem of multi-resulted in seismic responses brought by dual impacts of the thickness and the lithologic association for further research of seismic response characteristics of hydrothermal dolomite, significant efforts have been made, which were based on the study of dolomite, the Maokou formation in the eastern Sichuan Basin, to conduct an analysis of mineral composition, strata distribution and dolomitization in its area, to develop layered medium models in accordance with different dolomitization degrees and thicknesses, and to build standardized wedge models for the full display of that in binary changes. Moreover, an essential application of the pre-stack and post-stack seismic forward modeling have been performed for analyzing how different dolomitization degrees and thicknesses had influences on the seismic response characteristics of hydrothermal dolomite. Given this, the sensitive seismic attributes of the target interval in the study area have been selected preferentially by analyzing the seismic response characteristics of hydrothermal dolomite, which plays a critical role in the entire process. The results show that?1. The response characteristic of amplitude is greatly influenced by the dolomitization degree and bed thickness?2. The dolomitization degree constitutes a transformation of AVO response characteristics from II to IV, while the variation of thickness leads to a transformation of AVO response characteristics from IV to II. 3. The actual results indicate that the relative fluid factor FF is one of the most sensitive AVO attributes, and the predicted results are in par with the actual results.

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Section: State Of the Artmentioning

confidence: 99%

RETRACTED ARTICLE: A research on seismic forward modeling of hydrothermal dolomite：An example from Maokou formation in Wolonghe structure, eastern Sichuan Basin, SW China

Zhu

Gao²,

Pan

et al. 2020

European Journal of Remote Sensing

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“…The spectral content for both event types is dominated by frequencies in the range 10-150 Hz (Fig. 2), which agrees with the expected range for shearing and detachment cracking at the cavity roof (Wust-Bloch & Joswig 2006;Malovichko et al 2010). Mercerat et al (2010) studied the source spectra of eight events occurring in both isolated and tremor-like swarming sequences in the project period 2005-2007, without finding any significant difference in source parameters.…”

Section: P R E V I O U S S O U Rc E S T U D I E S a N D I N D I C At supporting

confidence: 76%

“…3) were measured for a fixed frequency range of 30-90 Hz, where signals are most energetic (Fig. 2), and in accordance with the frequency range proposed by Malovichko et al (2010). Synthetic peak-to-peak amplitudes were estimated from full waveform synthetic seismograms for the same frequency band.…”

Section: Constrains From Peak-to-peak Amplitude Ratiosmentioning

confidence: 78%

Resolving source mechanisms of microseismic swarms induced by solution mining

Kinscher¹,

Cesca

Bernard

et al. 2016

Geophys. J. Int.

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S U M M A R YIn order to improve our understanding of hazardous underground cavities, the development and collapse of a ∼200 m wide salt solution mining cavity was seismically monitored in the Lorraine basin in northeastern France. The microseismic events show a swarm-like behaviour, with clustering sequences lasting from seconds to days, and distinct spatiotemporal migration. Observed microseismic signals are interpreted as the result of detachment and block breakage processes occurring at the cavity roof. Body wave amplitude patterns indicated the presence of relatively stable source mechanisms, either associated with dip-slip and/or tensile faulting. Signal overlaps during swarm activity due to short interevent times, the high-frequency geophone recordings and the limited network station coverage often limit the application of classical source analysis techniques. To overcome these shortcomings, we investigated the source mechanisms through different procedures including modelling of observed and synthetic waveforms and amplitude spectra of some well-located events, as well as modelling of peak-to-peak amplitude ratios for the majority of the detected events. We extended the latter approach to infer the average source mechanism of many swarming events at once, using multiple events recorded at a single three component station. This methodology is applied here for the first time and represents a useful tool for source studies of seismic swarms and seismicity clusters. The results obtained with different methods are consistent and indicate that the source mechanisms for at least 50 per cent of the microseismic events are remarkably stable, with a predominant thrust faulting regime with faults similarly oriented, striking NW-SE and dipping around 35• -55• . This dominance of consistent source mechanisms might be related to the presence of a preferential direction of pre-existing crack or fault structures. As an interesting byproduct, we demonstrate, for the first time directly on seismic data, that the source radiation pattern significantly controls the detection capability of a seismic station and network.

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“…In addition, the sunken Marl blocks along the cavity floor are widely fractured and brine-saturated, forming an unconsolidated viscous interface which is expected to significantly damp the impacts of falling blocks (e.g. Malovichko et al 2010). As a result, the generation of acoustic emissions from these rather low energy and damped impacts is probably negligible and not detectable by our high frequency seismic instruments.…”

Section: First Order Event Classificationmentioning

confidence: 97%

Location of microseismic swarms induced by salt solution mining

Kinscher¹,

Bernard

Contrucci³

et al. 2014

Geophysical Journal International

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Ground failures, caving processes and collapses of large natural or man-made underground cavities can produce significant socio-economic damages and represent a serious risk envisaged by the mine managements and municipalities. In order to improve our understanding of the mechanisms governing such a geohazard and to test the potential of geophysical methods to prevent them, the development and collapse of a salt solution mining cavity was monitored in the Lorraine basin in northeastern France. During the experiment, a huge microseismic data set (∼50 000 event files) was recorded by a local microseismic network. 80 per cent of the data comprised unusual swarming sequences with complex clusters of superimposed microseismic events which could not be processed through standard automatic detection and location routines. Here, we present two probabilistic methods which provide a powerful tool to assess the spatio-temporal characteristics of these swarming sequences in an automatic manner. Both methods take advantage of strong attenuation effects and significantly polarized P-wave energies at higher frequencies (>100 Hz). The first location approach uses simple signal amplitude estimates for different frequency bands, and an attenuation model to constrain the hypocentre locations. The second approach was designed to identify significantly polarized Pwave energies and the associated polarization angles which provide very valuable information on the hypocentre location. Both methods are applied to a microseismic data set recorded during an important step of the development of the cavity, that is, before its collapse. From our results, systematic spatio-temporal epicentre migration trends are observed in the order of seconds to minutes and several tens of meters which are partially associated with cyclic behaviours. In addition, from spatio-temporal distribution of epicentre clusters we observed similar epicentre migration in the order of hours and days. All together, we suggest that the recorded microseismicity mainly represents detachment and block breakage processes acting at the cavity's roof, indicating a zone of critical state of stress and where partial fractures cause chain reaction failures as a result of stress redistribution processes.

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Local seismologic observations of karst processes

Cited by 4 publications

References 6 publications

RETRACTED ARTICLE: A research on seismic forward modeling of hydrothermal dolomite：An example from Maokou formation in Wolonghe structure, eastern Sichuan Basin, SW China

RETRACTED ARTICLE: A research on seismic forward modeling of hydrothermal dolomite：An example from Maokou formation in Wolonghe structure, eastern Sichuan Basin, SW China

Resolving source mechanisms of microseismic swarms induced by solution mining

Location of microseismic swarms induced by salt solution mining

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