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A 2D seismic reflection dataset of the Caosiyao giant porphyry Mo deposit in the shallow coverage area in Jining, Inner Mongolia, China.

Authors :
Lin, Kunqi
Zhang, Zhenjie
Yang, Jie
Chen, Guoxiong
Wu, Guopeng
Wang, Yongzhi
Cheng, Qiuming
Source :
Geoscience Data Journal; Jan2024, Vol. 11 Issue 1, p57-68, 12p
Publication Year :
2024

Abstract

Prospecting for and exploiting buried mineral deposits is currently challenging. Given their high precision and resolution, reflection seismic methods might be useful in such applications involving deep mineral deposits. However, there are few open seismic datasets available from mineral deposit exploration, especially in hardrock environments. The world‐class Caosiyao porphyry Molybdenum deposit (1.76 Mt) in the Jining area of Inner Mongolia, China, is largely covered by loess layers, which poses challenges to its exploration. Seismic reflection surveys were conducted to help delineate the deep granite porphyry intrusions and associated orebodies. This paper presents the raw seismic reflection dataset from three profiles on the Caosiyao deposit area, which can be used as a standard dataset for reflection seismic processing in shallow coverage and hardrock areas. Situated at the juxtaposition of the Khondalite Belt and the Trans‐North China Orogen in the northern North China Craton, the Jining region hosts considerable known porphyry Mo deposits. As such, this open dataset can assist in research on deep geological structures and hence increase prospecting efficiency in geologically similar areas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20496060
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Geoscience Data Journal
Publication Type :
Academic Journal
Accession number :
174976688
Full Text :
https://doi.org/10.1002/gdj3.223