The research of the slowness extraction method of component waves in array acoustic logging data based on simulated annealing algorithm
ZHOU Hao-Yi1,2(), MO Xiu-Wen2(), WANG Li-Li3, XU Bao-Yin3
1. Guangzhou Marine Geological Survey,CGS,Guangzhou 510075,China 2. College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China 3. Institute of Geophysics of Jilin Oil and Gas Co.,Ltd.,China Petroleum and Natural Gas Co.,Ltd.,Songyuan 138000,China
To enhance the precision of slowness extraction of component waves in array acoustic logging data,the authors,based on simulated annealing algorithm and the theory of slowness-time coherence (STC) method,put forward a new method to process array acoustic data by combining simulated annealing algorithm with slowness-time coherence method.The core of the algorithm is to transform the correlation coefficient of slowness-time coherence method into the energy function of simulated annealing algorithm so that the global optimization capability of simulated annealing algorithm can be utilized to extract the slownesses of component waves.For compressional wave,the energy ratio of short window versus long window method can be applied to the computation of arrival before annealing,so that the two-dimensional search can be simplified to one-dimensional;for other component waves,the algorithm is used respectively to extract the slownesses by two-dimensional search of slowness and arrival.Examples show that,compared with conventional compressional wave logging,the precision of the processed results of compressional wave is 9.94% better than that of conventional STC;the results of shear wave have a difference of 0.29% to those of conventional STC while the difference of Stoneley wave is 0.42%.The algorithm can enhance the precision of slowness extraction of component waves to a certain extent,performing well in application.
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ZHOU Hao-Yi, MO Xiu-Wen, WANG Li-Li, XU Bao-Yin. The research of the slowness extraction method of component waves in array acoustic logging data based on simulated annealing algorithm. Geophysical and Geochemical Exploration, 2021, 45(2): 466-472.
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