基于模拟退火算法的阵列声波测井组分波慢度提取

doi:10.11720/wtyht.2021.2472

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Abstract

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.

Key words： array acoustic logging extraction of slowness simulated annealing algorithm slowness-time coherence method

Received: 09 October 2019 Published: 29 April 2021

ZTFLH:

P631

Corresponding Authors: MO Xiu-Wen E-mail: haoyi17@mails.jlu.edu.cn;moxw@jlu.edu.cn

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	Hao-Yi ZHOU
	Xiu-Wen MO
	Li-Li WANG
	Bao-Yin XU

Cite this article:

Hao-Yi ZHOU,Xiu-Wen MO,Li-Li WANG, et al. The research of the slowness extraction method of component waves in array acoustic logging data based on simulated annealing algorithm[J]. Geophysical and Geochemical Exploration, 2021, 45(2): 466-472.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2021.2472 OR https://www.wutanyuhuatan.com/EN/Y2021/V45/I2/466

[1]	孙杰文, 尹帅, 崔明月, 等. 基于阵列声波测井评价致密砂岩储层地应力[J]. 测井技术, 2018,42(2):181-185,192.
[1]	Sun J W, Yin S, Cui M Y, et al. Evaluation of current geostress in tight sandstone reservoirs based on array acoustic logging[J]. Well Logging Technology, 2018,42(2):181-185,192.
[2]	许松, 唐晓明, 苏远大, 等. 斯通利波和弯曲波联合反演地层VTI各向异性的阵列声波处理方法[J]. 地球物理学报, 2018,61(12):5105-5114.
[2]	Xu S, Tang X M, Su Y D, et al. Determining formation shear wave transverse isotrophy jointly from borehole Stoneley-and flexural-wave data[J]. Chinese Journal of Geophysics, 2018,61(12):5105-5114.
[3]	Kimball C V, Marzetta T L. Semblance processing of borehole array data[J]. Geophysics, 1984,49(3):274-281.
[4]	Ingram J D, Morris C F, MacKnight E E, et al. Direct phase determination of S-wave velocities from acoustic logs[J]. Geophysics, 1985,50(11):1746-1755.
[5]	Hsu K, Baggeroer A B. Application of the maximum-likelihood method (MLM) for sonic velocity logging[J]. Geophysics, 1986,51(3):780-787.
[6]	乔文孝. 用插值法提高声波时差的计算精度[J]. 测井技术, 1997,21(2):125-128.
[6]	Qiao W X. Enhance the accuracy when calculating the slowness of acoustic waves by using interpolation[J]. Well Logging Technology, 1997,21(2):125-128.
[7]	章成广, 肖柏勋, 江万哲. 频谱法时差提取在声波全波形处理中的应用[J]. 工程地球物理学报, 2004,1(1):60-63.
[7]	Zhang C G, Xiao B X, Jiang W Z. Application of slowness gained by using spectral method in acoustic full waveform processing[J]. Chinese Journal of Engineering Geophysics, 2004,1(1):60-63.
[8]	陈强, 张超谟. 长短时窗能量比法提取声波全波列测井纵横波信息[J]. 石油天然气学报:江汉石油学院学报, 2006,28(3):72-75.
[8]	Chen Q, Zhang C M. The extraction of information of compressional waves and shear waves using energy ratio of short time window versus long time window method in full waveform acoustic logging[J]. Journal of Oil and Gas Technology, 2006,28(3):72-75.
[9]	宋延杰, 何英伟, 石颖, 等. 慢度—时间相关法与遗传算法结合提取阵列声波时差[J]. 测井技术, 2006,30(2):122-125.
[9]	Song Y J, He Y W, Shi Y, et al. Estimating slowness of array sonic data with slowness time coherence and genetic algorithm[J]. Well Logging Technology, 2006,30(2):122-125.
[10]	康晓泉, 苏远大, 程晓东, 等. 阵列声波测井时差拾取的慢度距离相关-SDC法[J]. 地球物理学进展, 2012,27(6):2534-2540.
[10]	Kang X Q, Su Y D, Cheng X D, et al. The application of slowness distance coherence_SDC on array aocustic logging slowness pickup[J]. Progress in Geophysics, 2012,27(6):2534-2540.
[11]	王雷, 周继宏. 多分辨率地层纵横波时差提取[J]. 工程地球物理学报, 2017,14(6):686-693.
[11]	Wang L, Zhou J H. Time-difference extraction of P-wave and S-wave in multiple resolution formation[J]. Chinese Journal of Engineering Geophysics, 2017,14(6):686-693.
[12]	Metropolis N, Rosenbluth A W, Rosenbluth M N, et al. Equation of state calculations by fast computing machines[J]. The Journal of Chemical Physics, 1953,56(21):1087-1092.
[13]	Kirkpatrick S, Jr Gelatt C D, Vecchi M P. Optimization by simulated annealing[J]. Science, 1983,220(11):650-671.
[14]	陶果, 杨韡, 杨建利. 用模拟退火方法计算偶极横波时差[J]. 石油大学学报, 2001,25(1):96-98.
[14]	Tao G, Yang W, Yang J L. Calculation of dipole shear wave time difference by simulated annealing method[J]. Journal of the University of Petroleum, 2001,25(1):96-98.
[15]	王飞. 交叉偶极声波测井资料处理及在致密气层评价中的应用研究[D]. 长春:吉林大学, 2013: 36-37.
[15]	Wang F. Research on the application and evaluation of cross-dipole acoustic logging to interpretation of tight reservoirs[D]. Changchun:Jilin University, 2013: 36-37.
[16]	赵瑞平. 混沌—模拟退火法在测井解释中的应用[D]. 西安:长安大学, 2013: 9-18.
[16]	Zhao R P. Chaos-simulated annealing method in the application of well logging interpretation [D].Xi'an:Chang'an University, 2013: 9-18.
[17]	李忠新, 杨鹏, 夏晞冉. 快速模拟退火算法在核磁差谱分析中的应用[J]. 中国石油和化工标准与测量, 2014,34(9):248-249.
[17]	Li Z X, Yang P, Xia X R. The application of fast simulated annealing algorithm in the analysis of nuclear magnetic difference spectrum[J]. Standards and Measurement of China Petroleum and Chemical Industry, 2014,34(9):248-249.
[18]	姜明, 柯式镇, 吕世瑶, 等. 基于非均匀采样的模拟退火随钻电磁波电阻率测井检波系统研究[J] 中国石油大学学报:自然科学版, 2017,41(1):78-84.
[18]	Jiang M, Ke S Z, Lyu S Y, et al. SA demodulation system based on nonuniform sampling for LWD electromagnetic resistivity logging tool[J]. Journal of China University of Petroleum:Edition of Natural Science, 2017,41(1):78-84.
[19]	Kozak M Z, Kozak M E. Estimation of formation shear slowness using phase velocity and semblance method-comparative studies[C] //San Antonio:2001 SEG Annual Meeting, 2001: 1-4.