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High Resolution Processing Methods for Acoustic Log

Author: LiPengJu
Tutor: SongYanJie
School: Daqing Petroleum Institute
Course: Earth Exploration and Information Technology
Keywords: Multipole array sonic logging Conventional acoustic logging High-resolution Related - cross- power spectrum combined with multi- shot Neural Networks
CLC: P631.8
Type: Master's thesis
Year: 2003
Downloads: 689
Quote: 3
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Abstract


Gradually deepened with the exploration and development of oil and gas, there is an urgent need to address the division of a thin layer and thick layer segments, re-evaluation of old wells logging data to find oil and gas layers get lost. Therefore, there is the need for the logging curves high resolution processing to improve the thin-layer interpretation accuracy. Multipole array acoustic logging logging projects each oilfield has been promoting the use of the existing approach to the pursuit of the accuracy of calculation of the time difference, ignore the vertical resolution of the time difference. In addition, conventional acoustic logging curve resolution approach made the actual effect, but its modeling is difficult, and the practical application of the effect is not very satisfactory. This article fully research array sonic logging sub-wave extraction and high-resolution processing method, on the basis of their advantages and disadvantages, multipole array sonic logging - cross-power spectrum combined with multi-shot processing method. Ie related - cross-power spectrum treatment of multipole array sonic logging shortest total emission and total receiving sub-array (0.152 m) to extract the time difference, and then to get across the same depth strata shortest total emission and receiving sub-total array of acoustic time average, which guarantee access to high-resolution acoustic time curve calculation accuracy and reliability of the time difference. The method was applied to the Daqing Oilfield actual processing eight wells multipole array acoustic logging data were analyzed, and results and the results of conventional treatment and measured the high-resolution acoustic time curve, indicating that the method can be reliably effectively improve the vertical resolution of the acoustic time, has high practical value. Based on the analysis of the longitudinal response characteristics of conventional acoustic logging, in-depth study on the basis of very complex nonlinear relationship between the low-resolution the acoustic time curve and high-resolution acoustic time curve, the key wells, low resolution acoustic time curve as learning samples to construct a learning sample set, artificial neural network technology means the inversion prediction model, thereby generating high resolution acoustic time curve of the other wells. Select a block of Daqing Oilfield eight well as modeling and prediction object, and the actual data processing. The artificial neural network is used to high-resolution the conventional acoustic time curve processing theory is feasible from the practical application point of view, also achieved a certain effect. Therefore, as a high-resolution processing of conventional logging curves new attempt, this method has broad application prospects.

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CLC: > Astronomy,Earth Sciences > Geology > Geology, mineral prospecting and exploration > Geophysical exploration > Underground geophysical
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