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Edinburgh Anisotropy Project, British Geological Survey
Peking University, People's Republic of China
SinoPEC, ShanDong, China
Corresponding author: xyl@bgs.ac.uk
| The first 20% of the full text of this article appears below. |
Over the past 10 years, there has been a consistent increase in using 3D P-wave data to characterize fractures, which is critical for ensuring economic oil and gas production in tight formations of otherwise low permeability. Here, we present a case study of fracture detection using 3D P-wave seismic data from the Yellow River Delta in East China. The target formation is a naturally fractured mud-rock reservoir. The field site has been in production for more than 10 years; however, virgin pressure wells are still being drilled. The purpose of the survey was the remote identification, for future well planning, of zones of high fracture density that are residual oil-charged. A major aspect of this study is to compare the different seismic attributes and different analysis techniques on a common data set for fracture detection. Our aim is to understand the merits of these different techniques, and to establish some basic guidelines for fracture detection using P-wave data.
| Azimuthal attribute analysis (3As) |
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In the practical application of the 3A technique, two methods are often employed to extract the fracture information: full-azimuth surface fitting and narrow-azimuth
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E. Liu, M. Chapman, J. A. Hudson, S. R. Tod, S. Maultzsch, and X.-Y. Li Quantitative determination of hydraulic properties of fractured rock using seismic techniques Geological Society, London, Special Publications, January 1, 2005; 249(1): 29 - 42. [Abstract] [PDF] |
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