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Full waveform acoustic logging information processing research

Author: SongDai
Tutor: ZuoHaiYun
School: Southwest Petroleum University
Course: Measuring Technology and Instruments
Keywords: Full waveform acoustic logging Wavelet Denoising analysis Instantaneous frequency analysis First wave extraction
CLC: P631.814
Type: Master's thesis
Year: 2009
Downloads: 308
Quote: 2
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Abstract


Full waveform acoustic logging signals including longitudinal waves, shear waves, such as pseudo-Rayleigh and Stoneley speed, amplitude, frequency, waveform envelope characteristics and other information through digital signal processing, obtain longitudinal wave, shear wave and Stoneley wave waveform information, which can carry out the formation elastic properties, fracture pressure, formation permeability, fracture identification and other aspects of oil and gas, and expand the sonic logging applications in oil exploration. However, this information includes not only noise, but also of the full wave acoustic logging signal component signals of each of the first wave superposition (ie, each component signal superimposed) is not a transition process, but a smooth transition process, thus affecting the number of methods in use in the actual results. So in order to efficiently separate full waveform acoustic logging signals in a variety of components to achieve the required parameter information reflects formation properties and more clearly reflected underground geological conditions in the application of the full wave before the information is necessary to full waveform acoustic logging signal for signal processing. For full acoustic logging signal characteristics of each component and the traditional acoustic signal processing method limitations, through in-depth research and analysis, proposed denoising based on wavelet analysis combined with the instantaneous frequency signal processing method that can accurately and effectively obtain components of the acoustic signal in the first wave of the position on the timeline. Proposed denoising using wavelet analysis combined with the instantaneous frequency signal processing method of a block of the South China Sea oil provides a well in a typical dry layer segment, the water layer segments, gas segment full acoustic logging data signal processing and analysis were carried out monopole and dipole mode mode of the full wave data analysis and processing. First, full acoustic logging signal wavelet denoising analysis, select db5 wavelet and heuristic threshold (heursure threshold) method is applied. Then remove noise after full acoustic logging signal instantaneous frequency analysis, using a method based on the phase difference of the central finite difference (CFD) method using the phase derivative signal phase information obtained in the discontinuous point that each wave the position of the first wave components. Using the proposed method for processing, eliminating the impact of noise in the signal, the instantaneous frequency of the effective signal waveform shape is consistent with the de-noising front, longitudinal waves, shear waves, the first wave of Stoneley other position on the timeline clearly discernible. Obtained after the first wave of position, which can be reflected in the corresponding slowness underground geological conditions and other parameters. Contrast foreign software to extract the difference curve, we can see the proposed wavelet denoising using the instantaneous frequency of the signal processing method of combining the difference curve obtained with the foreign software to extract the difference curve characteristic points and curves in substantially the same direction, and smoother. Combined with conventional logging curve analysis can be seen, the difference curve obtained by this method is conducive to analysis and evaluation of the actual ground conditions, indicating that the difference obtained by this method are reliable curve, and then show that this method can effectively extract the full acoustic measurements Well acoustic signal component of each of the first wave position.

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CLC: > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration > Underground geophysical > Borehole measurements > Ultrasonic logging
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