Application of Gas-recognition Technology Based on Wavelet Decomposition to Shallow Gas Reservoir Exploration
Received date: 2010-02-03
Revised date: 2010-08-29
Online published: 2011-06-10
We use the wavelet decomposition technology to resolve the conventional seismic data track into a collection of different frequency wavelets, and then check the gas-bearing reservoirs based on the spectrum anomaly detection. The Shaximiao sequence as an objective layer of CC area is a set of river-delta deposits with a single-storey sandstone thickness about 20 m. The reservoirs in the similar river in the different locations and the similar position in the different rivers have the different gas concentration. The traditional spectrum technology of seismic data is restrained by the window restriction so that the antinoise and poor stability can not accurately identify the gas-bearing. In order to predict the gas bearing areas in the different times and different locations, we firstly try to use the gas-recognition technology of wavelet decomposition to get the abnormal frequency spectrum. The gas-bearing river sandstones have the feature of “low-frequency resonance, high frequency attenuation”. We use this feature not only to clearly test the distinction between current high-yield well and dry well, but also to provide a evidence for the further plot of drilling wells.
GAO Qian, LI Zhong-Dong, Zhao Shuang . Application of Gas-recognition Technology Based on Wavelet Decomposition to Shallow Gas Reservoir Exploration[J]. Natural Gas Geoscience, 2011 , 22(3) : 549 -553 . DOI: 10.11764/j.issn.1672-1926.2011.03.549
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