Fault determination using one dimensional wavelet analysis
In this paper we advance the use of one dimensional multi scale wavelet for the identification of faults from potential field data. Faults play an important role in hydrology, mineral exploration and volcanic activities. Its identification is significant to environmentalists, geologists and geophysicists. Multi scale wavelet analysis, a powerful tool for filtering and de-noising, has been applied to solve many problems in geophysics. Wavelet transforms have advantages to traditional Fourier methods in analyzing physical situations where the signal contains discontinued and sharp spikes. The method utilizes the concept of break line and discontinuity (edge detection) and uses the Daubechies wavelet. This particular family of wavelet is suitable for the processing and detection of break points and edges, as the processing scales are linked to the speed of the change. The multi resolution analysis is obtained by applying the inverse wavelet transform to the coefficients of each level.. In image processing, one of the major problems is edge detection, which also involves detecting abrupt changes. Also in this category, we find signals with very rapid evolutions such as transient signals in dynamic systems. The main characteristic of these phenomena is that the change is localized in time or in space. Unlike traditional methods, our method does not require prior knowledge and worth of experience to infer faults. Spectral analysis technique is used to approximate the depth of the source with respect to each wavelet detail. The method is applied to synthetic data and real potential field data from Dagang, southern China yielding very good results.
Wavelet decomposition Spectral Analysis Fault potential field Dagang oilfield
Cooper S. Morris Tianyou Liu
Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan, Hubei 430074, China Institute of Geophysics & Geomatics, China University of Geosciences,Wuhan, Hubei 430074, China
国际会议
成都
英文
787-791
2010-06-14（万方平台首次上网日期，不代表论文的发表时间）