Imaging mining hazards within coalbeds using prestack wave equation migration of in-seam seismic survey data: A feasibility study with synthetic data

Hu, Yanrong; McMechan, George A.

doi:10.1016/j.jappgeo.2007.03.002

Cited by 8 publications

(6 citation statements)

References 24 publications

(27 reference statements)

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“…In Equation (2), where z is the dependent variable parameter; w is the weight; b is the constant term; x is the value of the independent variable; and P(z) is the regression predicted value of the ray path passing through the fault plane.…”

Section: Logistic Regression Modelmentioning

confidence: 99%

“…Additionally, pressurized mines involve more complex operations than unpressurized mines. Water inrush occurs in many pressurized mines, floor cracks caused by mining connect to aquifers, and small faults in coal seams often serve as outlet points for water channels [2]. For example, fault fracture zones can generally be water-conducting along a long section of a fault strike and cause water inrush disasters, even a minor local fracture surface or point can be water-conducting and induce water inrush disasters [3].…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Evaluation of Faults by Combined Channel Wave Seismic Transmission-Reflection Detection Method

Guang

Wang

et al. 2022

Minerals

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The quantitative detection of faults using the channel wave seismic method has been a major but challenging area of interest. In this study, we adopted an effective technical process to evaluate fault attribution. First, we use integrated transmission and reflection channel wave information to improve the accuracy of extraction velocity. Then, the location of the fault is determined by the elliptical tangent offset method, and feature extraction and fault location extension determination are achieved through logistic regression and a neural network. This is combined with the prior geological information, the fractional dimension D to the quantitative analysis of the fault throw. Data regarding the 4203 working face of a mine in Shanxi, China, are considered as an example. Two groups of faults were predicted, with the location error in the f30 fault position as 6.7 m. In addition, the f29 fault throw first increased, and then gradually decreased from the return airway to the haulage gateway. These predicted results have been drill-verified and were used to modify the original design. The proposed method has good stability and promising application prospects for fault evaluation.

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Section: Logistic Regression Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Evaluation of Faults by Combined Channel Wave Seismic Transmission-Reflection Detection Method

Guang

Wang

et al. 2022

Minerals

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“…Elsen and Schott conducted reflected channel wave experiments at several coal mines in Germany, including Patberg and Stein, and used polarization filtering and envelope superposition for imaging [14]. Hu et al introduced reverse-time pre-stack elastic migration technology into the study of reflected channel wave, and formed the image of reflected wave by means of model data [15]. However, Based on the above problems, this paper uses numerical simulation to study the detection of collapse column by using reflected Love channel wave outside the working face.…”

Section: Mason Et Al Conducted An Experimental Study On the Detectiomentioning

confidence: 99%

Study on Wave Field Characteristics and Imaging of Collapse Column in Three-Dimensional Detection with Love Channel Wave Reflected outside the Working Face

Sun¹,

Zhang²,

Wang³

et al. 2020

OJG

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The safety accidents caused by collapse column water diversion occur frequently, which has great hidden danger to the safety production of coal mine. Limited by the space of underground, the detection of collapse column on the outside of working face has been a difficult problem. Based on this, numerical simulation and imaging research were carried out in this paper. The results indicate that when a seismic source near the roadway is excited, a part of seismic wave propagates along the roadway direction, namely direct P-wave, direct S-wave and direct Love channel wave. When the body waves and Love channel wave propagating to the outside of working face meet the interface of collapse column, the reflected Love channel wave and reflected body waves are generated. Reflection body waves and direct waves are mixed in time domain, which is difficult to identify in seismic records, while reflected Love channel wave whose amplitude is relatively strong. The reflected Love channel wave which has a large interval from other wave trains in the time domain is easily recognizable in seismic record, which makes it suitable for advanced detection of collapse column. The signal-to-noise ratio of X component is higher than that of Y component and Z component. According to the seismic records, polarization filtering was carried out to enhance the effective wave, which removed the interference waves, and the signal was migrated to get the position parameters of collapse column interface, which was basically consistent with the model position.

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“…Luth et al proposed that the Kirchhoff migration operator is limited to the volume of the Fresnel zone, to improve the imaging accuracy of tunnel seismic data with small offset apertures [ 4 ]. Compared with the Kirchhoff migration method [ 5 , 6 , 7 , 8 ], RTM [ 9 ] utilizes the cross-correlation principle of forwarding continuation and reverse continuation to realize imaging, and the imaging area is not limited by the migration aperture. RTM is the most accurate migration method at present and is especially suitable for the migration imaging of tunnel seismic data with a small offset.…”

Section: Introductionmentioning

confidence: 99%

3-D Multi-Component Reverse Time Migration Method for Tunnel Seismic Data

Guan

Shao

Jiao

et al. 2021

Sensors

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Migration imaging is a key step in tunnel seismic data processing. Due to the limitation of tunnel space, tunnel seismic data are small-quantity, multi-component, and have a small offset. Kirchhoff migration based on the ray theory is limited to the migration aperture and has low migration imaging accuracy. Kirchhoff migration can no longer meet the requirements of high-precision migration imaging. The reverse time migration (RTM) method is used to realize cross-correlation imaging by reverse-time recursion principle of the wave equation. The 3-D RTM method cannot only overcome the effect of small offset, but also realize multi-component data imaging, which is the most accurate migration method for tunnel seismic data. In this paper, we will study the 3-D RTM method for multi-component tunnel seismic data. Combined with the modeled data and the measured data, the imaging accuracy of the 3-D Kirchhoff migration and 3-D RTM is analyzed in detail. By comparing single-component and multi-component Kirchhoff migration and RTM profile, the advantages of the multi-component RTM method are summarized. Compared with the Kirchhoff migration method, the 3-D RTM method has the following advantages: (1) it can overcome the effect of small offset and expand the range of migration imaging; (2) multi-component data can be realized to improve the energy of anomalous interface; (3) it can make full use of multiple waves to realize migration imaging and improve the resolution of the anomalous interface. The modeled data and the measured data prove the advantages of the 3-D multi-component RTM method.

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Imaging mining hazards within coalbeds using prestack wave equation migration of in-seam seismic survey data: A feasibility study with synthetic data

Cited by 8 publications

References 24 publications

Quantitative Evaluation of Faults by Combined Channel Wave Seismic Transmission-Reflection Detection Method

Quantitative Evaluation of Faults by Combined Channel Wave Seismic Transmission-Reflection Detection Method

Study on Wave Field Characteristics and Imaging of Collapse Column in Three-Dimensional Detection with Love Channel Wave Reflected outside the Working Face

3-D Multi-Component Reverse Time Migration Method for Tunnel Seismic Data

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