Comprehensive prediction of coal seam thickness by using in‑seam seismic surveys and Bayesian kriging

• Autorzy: Zhu Mengbo , Cheng Jianyuan , Cui Weixiong , Yue Hui

Identyfikatory

DOI

10.1007/s11600-019-00298-y

• Języki publikacji: EN

Abstrakty

EN

Quantitative determination of the coal seam thickness distribution within the longwall panel is one of the primary works before integrated mining. In-seam seismic (ISS) surveys and interpolations are essential methods for predicting thickness. In this study, a new quantitative method that combines ISS and Bayesian kriging (BK), called ISS–BK, is proposed to determine the thickness distribution. ISS–BK consists of the following six steps. (1) The group velocity of Love waves is plotted by using the simultaneous iterative reconstruction technique under a constant frequency value. (2) An approximate quantitative relationship between the thickness and the group velocity is fitted based on sampling points of the coal seam thickness, which are measured during the process of entry development. (3) The group velocity map is translated into a primary thickness map according to the above-mentioned fitted equation. (4) By subtracting the ISS prediction result from the actual thickness at a sampling point, the residual variable is created. (5) The residual distribution is interpolated within the whole longwall panel by applying BK. The residual map establishes the interconnection between the ISS survey and BK. (6) A refined thickness distribution map can be obtained by overlapping the primary thickness map and the residual map. The application of this method to the No. 2408 longwall panel of Yuhua Coal Mine using ISS–BK showed a considerable improvement in thickness prediction accuracy over ISS. The residuals of ISS and ISS–BK mainly lie in the intervals (− 3.0, 3.0 m) and (− 1.0, 3.0 m), respectively. The accurate prediction rates [where the residual lies in the interval (0, 0.1 m)] of ISS and ISS–BK are 9.39% and 50.28%, respectively, and the effective prediction rates (where the residual is less than 1.0 m) of ISS and ISS–BK are 61.88% and 77.90%, respectively. All the above statistics reflect a considerable improvement in the ISS–BK method over the ISS method.

Słowa kluczowe

EN

dispersion; coal seams thickness; longwall panel; in-seam seismic; love wave; Bayesian kriging

PL

dyspersja; miąższość pokładów węgla; wyrobisko ścianowe

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2019
• Tom: Vol. 67, no. 3
• Strony: 825--836
• Opis fizyczny: Bibliogr. 17 poz.

Twórcy

autor

Zhu Mengbo

• China Coal Research Institute, Beijing, China
• Xi’an Research Institute, China Coal Technology & Engineering Group Corp, Xi’an, China

autor

Cheng Jianyuan

• China Coal Research Institute, Beijing, China
• Xi’an Research Institute, China Coal Technology & Engineering Group Corp, Xi’an, China

autor

Cui Weixiong

• Xi’an Research Institute, China Coal Technology & Engineering Group Corp, Xi’an, China

autor

Yue Hui

• Xi’an Research Institute, China Coal Technology & Engineering Group Corp, Xi’an, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).