3D-RVSP experimental study above a carbonate outcrop for coal resource exploration

• Autorzy: Hu Mingshun , Pan Dongming , Li Juanjuan , Zhang Hui , Dong Shouhua , Chen Shenen , Xu Yongzhong

Identyfikatory

DOI

10.1007/s11600-018-0239-6

• Języki publikacji: EN

Abstrakty

EN

In the areas where carbonate rocks expose to the near surface, there are several intractable issues in conventional surface seismic, including (1) weak reflection energy, (2) complex wave field and (3) serious static correction. Therefore, the seismic imaging result suffers significantly. However, RVSP is able to achieve reflected data with high quality since it generates seismic waves in borehole and receives seismic waves at the surface. In order to verify the applicability of RVSP technique in complex areas, this study carried out a 3D-RVSP seismic experiment in Wulunshan coal field, southwest China. Compared with the surface seismic data, RVSP data show higher signal-to-noise ratio, wider frequency band and weaker surface wave interference. In addition, two imaging methods (conventional CDP transform stack and novel equivalent-surface conversion) were implemented for RVSP data imaging. The imaging results show that the smaller and deeper structures can be revealed better by equivalent-surface conversion method than by CDP transform stack method. Hence, this study demonstrates that RVSP is an efficient method applied in the area with complex surface condition.

Słowa kluczowe

EN

3D-RVSP; equivalent-surface conversion; carbonate rocks outcrop area; CDP transform stack

PL

3D-RVSP

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2019
• Tom: Vol. 67, no. 1
• Strony: 95--107
• Opis fizyczny: Bibliogr. 39 poz.

Twórcy

autor

Hu Mingshun

• Key Laboratory of Gas and Fire Control for Coal Mines, China University of Mining and Technology, Xuzhou, China
• School of Resource and Geosciences, China University of Mining and Technology, Xuzhou, China

autor

Pan Dongming

• School of Resource and Geosciences, China University of Mining and Technology, Xuzhou, China
• State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China

autor

Li Juanjuan

• IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, China

autor

Zhang Hui

• School of Resource and Geosciences, China University of Mining and Technology, Xuzhou, China
• Institute of Applied Geophysics, Yankuang Group, Zoucheng, China

autor

Dong Shouhua

• School of Resource and Geosciences, China University of Mining and Technology, Xuzhou, China

autor

Chen Shenen

• Department of Civil and Environmental Engineering, University of North Carolina at Charlotte, Charlotte, USA

autor

Xu Yongzhong

• School of Resource and Geosciences, China University of Mining and Technology, Xuzhou, China

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).