A geostatistical framework for incorporating seismic tomography auxiliary data into hydraulic conductivity estimation

Cassiani, Giorgio; Böhm, Gualtiero; Vesnaver, Aldo; Nicolich, R.

doi:10.1016/s0022-1694(98)00084-5

Cited by 65 publications

(44 citation statements)

References 49 publications

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“…In the following, we use the data error-weighted cumulative sensitivity as an image appraisal tool (e.g. Cassiani et al, 1998;Nguyen et al, 2009;Henderson et al, 2010). In accordance to Kemna (2000), we define the coverage or cumulative sensitivity (hereafter we will refer to it simply as the sensitivity) S as…”

Section: Image Appraisalmentioning

confidence: 99%

Imaging artificial salt water infiltration using electrical resistivity tomography constrained by geostatistical data

Hermans

Vandenbohede

Lebbe

et al. 2012

Journal of Hydrology

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Section: Image Appraisalmentioning

confidence: 99%

Imaging artificial salt water infiltration using electrical resistivity tomography constrained by geostatistical data

Hermans

Vandenbohede

Lebbe

et al. 2012

Journal of Hydrology

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“…Next, a number is extracted from the histogram randomly, and then the data conditioning is done. This process was carry out for the whole network and finally by using the reverse conversion the data are returned to the initial situation (Cassiani et al, 1998;Deustch, 2002;Lee & Xu, 2000).…”

Section: Geostatistical Simulationmentioning

confidence: 99%

“…Variogram is a tool for structural analysis and continual evaluation of regionalized variations (Cassiani et al, 1998). On the data of each day, the non-directional variography is performed and the bi-structural spherical model is fitted.…”

Section: Geostatistical Simulationmentioning

confidence: 99%

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Passive seismic velocity tomography and geostatistical simulation on longwall mining panel / Tomografia pasywna pola prędkości i symulacje geostatystyczne w obrębie pola ścianowego

Hosseini¹,

Oraee²,

Shahriar³

et al. 2012

Archives of Mining Sciences

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Generally, the accurate determination of the stress in surrounding rock mass of underground mining area has an important role in stability and ground control. In this paper stress redistribution around the longwall face has been studied using passive seismic velocity tomography based on Simultaneous Iterative Reconstructive Technique (SIRT) and Sequential Gaussian Simulation (SGS). The mining-induced microseismic events are used as a passive source. Since such sources are used, the ray coverage is insufficient and in order to resolve this deficiency, the wave velocity is estimated in a denser network and by the SGS method. Consequently the three-dimensional images of wave velocity are created and sliced into the coal seam. To analyze the variations of stress around the panel during the study period, these images are interpreted. Results show that the state of stress redistribution around the longwall panel can be deduced from these velocity images. In addition, movements of the stressed zones, including front and side abutments and the goaf area, along the longwall face are evident. The applied approach illustrated in this paper can be used as a useful method to monitoring the stress changes around the longwall face continuously. This can have significant safety implications and contribute to improvements in operational productivity.Keywords: Longwall Mining, Passive Seismic Tomography, SIRT, SGS, Stress Redistribution Dokładne określenie naprężeń górotworu w warstwach otaczających wyrobiska podziemne ma podstawowe znaczenie dla stabilności i zabezpieczenia powierzchni. W artykule tym zbadano rozkłady naprężeń wokół przodka ścianowego przy wykorzystaniu tomografii pola prędkości, w oparciu o techniki rekonstrukcji przy równoczesnych iteracjach i sekwencyjnej symulacji Gaussa (SSG). Drobne wydarzenia mikrosejsmiczne wykorzystane zostały jako źródła bierne. Z uwagi na wykorzystanie takich źródeł, zasięg promieni jest niewystarczający, dlatego też prędkość fali określana jest przy użyciu gęstszej siatki Unauthenticated Download Date | 5/13/18 9:33 AM 140 i w oparciu o metody sekwencyjnej symulacji Gaussa. W rezultacie otrzymujemy trójwymiarowe obrazy prędkości fali, które następnie "narzucane" są warstwami na pokład węgla. Określenie naprężenia wokół pola w trakcie badania wymaga interpretacji tych obrazów. Wyniki wskazują, że rozkład stanu naprężenia wokół ściany można określić na podstawie obrazów prędkości. Ponadto, uwidaczniają się ruchy stref podlegających naprężeniom, w tym warstw sąsiadujących przednich i bocznych oraz obszaru samego wyrobiska wzdłuż przodka ściany. Zastosowane podejście może zostać wykorzystane jako skuteczna metoda bieżącego monitorowania zmian naprężeń w rejonie ściany. Ma to poważne znaczenie z punktu widzenia bezpieczeństwa pracy, a co za tym idzie przyczynia się do podniesienia wydobycia.Słowa kluczowe: wybieranie ścianowe, tomografia pola prędkości, metody rekonstrukcji przy równo-czesnych iteracjach, symulacja sekwencyjna Gaussa, rozkład naprężeń

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“…Searching for the maximum likelihood solution in fact only reduces the Bayesian method to a classical-like optimization approach enhanced by the possibility of using dierent norms and new regularization schemes (PARKER, 1994;DUIJNDAM, 1988;TARANTOLA, 1987). Within the framework of this technique, the regularization of an inversion procedure is achieved by using a priori information represented by a probability distribution over the model space (TARANTOLA, 1987;PENDOCK, 1993;BARNES et al, 1996;CASSIANI et al, 1998;EPPSTEIN and DOUGH-ERTY, 1998).…”

Section: Introductionmentioning

confidence: 99%

Tomographic Imaging of Thermally Induced Fractures in Granite Using Bayesian Inversion

Deçbski¹,

Young

2002

Pure appl. geophys.

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Ð The internal structure of rock samples studied in laboratory experiments can be described by a variety of physical parameters. Some of them, like the velocity of acoustic waves, enhanced velocity or quality factor can be reconstructed by means of ultrasonic tomography. This article presents the results of classical velocity tomography imaging, accompanied by the results of attenuation tomography and recently introduced enhanced velocity tomography obtained for a Lac Du Bonnet granite sample subjected to thermal stresses. To invert acoustic data recorded during six heating cycles, a Bayesian inversion scheme accompanied by a genetic algorithm optimization approach and the robust Cauchy norm have been used. To obtain the highest possible spatial resolution of images the inversion was performed in two steps. In the ®rst step a crude parameterization of the sample was used. The result of this stage was next taken as an a priori model for a ®nal inversion with re®ned parameterization. The choice of parameterization (cell sizes) and damping parameters at both stages was based on an analysis of the resolution operator. Both velocity and enhanced velocity tomography accurately imaged changes in the rock microstructure caused by thermal stresses. However, enhanced velocity tomography gave a much better spatial resolution than velocity tomography. On the other hand, attenuation tomography based on inversion of pulse rise times was able to image only a rough structure of the sample and it has diculty with reasonable imaging of the crack formed in the sixth heating cycle.

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A geostatistical framework for incorporating seismic tomography auxiliary data into hydraulic conductivity estimation

Cited by 65 publications

References 49 publications

Imaging artificial salt water infiltration using electrical resistivity tomography constrained by geostatistical data

Imaging artificial salt water infiltration using electrical resistivity tomography constrained by geostatistical data

Passive seismic velocity tomography and geostatistical simulation on longwall mining panel / Tomografia pasywna pola prędkości i symulacje geostatystyczne w obrębie pola ścianowego

Tomographic Imaging of Thermally Induced Fractures in Granite Using Bayesian Inversion

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