Seismic prediction and evaluation techniques for hot dry rock exploration and development

Author:

Fu Guoqiang12,Peng Suping3,Wang Ruizhen4,Zhao Jingtao3,Yan Feng4,Xie Jingyu2,Yang Yi5,Xie Xinglong2,Ming Yuanyuan2,Wang Dan2,Geng Jialu1,Qi Wangning1

Affiliation:

1. China University of Mining and Technology , Xuzhou City, Jiangsu Province 221116, China

2. Hydrogeological and Environmental Geological Survey Center of China Geological Survey , Tianjin City 300309, China

3. China University of Mining & Technology , Beijing 100091, China

4. Bureau of Geophysical Prospecting Inc., China National Petroleum Corporation , Zhuozhou City, Hebei Province 072751, China

5. North China Institute of Science and Technology , Sanhe City, Hebei Province, 101601, China

Abstract

Abstract Hot dry rock is generally buried deep within the subsurface and exhibits high temperatures, hardness and density, with low porosity and a lack of permeable fluids. It is thus difficult to investigate and poses a high exploration risk. This paper emphasizes the role of seismic exploration in evaluating hot dry rock exploration by exploiting technical advantages, including strong penetration, high resolution and precise depth determination. Denoising and weak deep effective signal processing, unique processing methods (e.g. high-precision static correction, pre-stack noise attenuation, wide-angle reflection in weak signal areas and fine velocity analysis) are used for high-quality imaging of formations inside the hot dry rock geothermal reservoirs to address the difficulties of data static correction. The joint inversion/data fusion of seismic and other geophysical methods allow the realization of non-linear quantitative prediction and evaluation of hot dry rock reservoirs. The geothermal reservoir parameters, including lithology, physical properties and temperature, are predicted by integrating various geophysical attributes. Further, the development potential of the geothermal reservoir is accurately evaluated, and promising results achieved.

Funder

National Key Research and Development Project in China

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

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