Journal of Jilin University(Earth Science Edition) ›› 2015, Vol. 45 ›› Issue (3): 926-933.doi: 10.13278/j.cnki.jjuese.201503301

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Gravity Anomaly Extraction for Hydrocarbon Based on Particle Swarm Optimization and Cellular Neural Network

Du Runlin1,2, Liu Zhan1   

  1. 1. School of Geosciences, China University of Petroleum(East China), Qingdao 266555, Shandong, China;
    2. The Key Laboratory of Marine Hydrocarbon Resources and Environment Geology, Qingdao Institute of Marine Geology, Qingdao 266071, Shandong, China
  • Received:2014-08-15 Published:2015-05-26

Abstract:

Cellular neural network is an effective method for extracting useful anomalies with a strong capability of horizontal resolution. Its key point is to optimize the template when using cellular neural network to extract hydrocarbon gravity anomaly information. We presented an improved algorithm based on the characteristics of the cellular neural network and the particle swarm optimization, joined constraint condition in template, and introduced the shrinkage factors in particle swarm optimization individual characteristics through the analysis of the dynamic performance of cellular neural network. Through the model testing and the actual data processing, the algorithm proved to be more stable to optimize the template for extracting reservoir gravity anomaly information.

Key words: cellular neural network, particle swarm optimization, gravity anomaly, shrinkage factors, petroleum gas

CLC Number: 

  • P631.1

[1] 张凤旭,孟令顺,张凤琴,等.利用Hilbert变换计算重力归一化总梯度[J].地球物理学报,2005,48(3):704-709. Zhang Fengxu, Meng Lingshun, Zhang Fengqin, et al. Calculating Normalized Full Gradient of Gravity Anomaly Using Hilbert Ttransform[J]. Chinese Journal of Geophysics, 2005,48(3):704-709.

[2] 张刚. 油气重磁异常识别及提取方法研究[D].青岛: 中国石油大学, 2011. Zhang Gang. The Method Rresearch of Identification and Extraction of Oil Gravity and Magnetic Anomalies[D]. Qingdao: China University of Petroleum, 2011.

[3] 耿喜哲,张春华. 综合小波分析与分形方法进行弱磁异常识别[J].物探与化探, 2002, 26(2): 126-130. Geng Xizhe, Zhang Chunhua. The Application of Wavelet Analysis and Fractal Technique to the Recoganion of Micro-Magnetic Anomaly[J]. Geophysical & Geochemical Exploration, 2002, 26(2): 126-130.

[4] 宋双, 刘天佑, 苏俊青. 重磁小波多尺度分解及在火山岩识别中的应用[J]. 工程地球物理学报, 2008, 5(6): 675-679. Song Shuang, Liu Tianyou, Su Junqing. The Wavelet Multi-Scale Decomposition of Gravity and Magnet and Its Application in the Identification of Volcanic Rock[J]. Chinese Journal of Engineering Geophysics, 2008, 5(6): 675-679.

[5] Chua L O, Yang L. Cellular Neural Networks:Theory[J]. IEEE Trans on Circuits, 1988,35(5): 1273-1290.

[6] Albora A M,Ucan O N,Ozmen A,et al. Septaration of Bouguer Anomaly Map Using Cellular Neural Network[J]. Journal Applied Geophysics, 2001, 46:129-142.

[7] Albora A M,Ozmen A. Wavelet Based Design of Dynamical Neural Networks for Magnetic Map Processing[R].Istanbul:University of Istanbul Press,2002:133-140.

[8] 刘展,刘茂成,魏巍,等.重力异常分离的细胞神经网络方法研究[J].中国石油大学学报:自然科学版,2010,31(1):31-34. Liu Zhan, Liu Maocheng, Wei Wei, et al. A Gravity Anomaly Separation Method Based on Cellular Neural Network[J]. Journal of China University of Petroleum: Edition of Natural Science, 2010, 31(1): 31-34.

[9] Kennddy J, Eberhart R. Particle Swarm Optimization[C]// Proceedings of IEEE International Conference on Neutral Networks. Perth: IEEE, 1995:1942-1948.

[10] Eberhart R C, Shi Y. Particle Swarm Optimization: Developments, Applicationgs and Resources[C]// Pro Congress on Evolutonary Computation 2001. Piscataway: IEEE, 2001: 81-86.

[11] 卢珊萍,于盛林.基于粒子群算法的细胞神经网络模板参数设计[J].计算机技术与发展,2009,19(4):83-86. Lu Shanping, Yu Shenglin. A Template Design Method for Cellular Neural Network Based Particle Swarm Optimizer Algorithm[J]. Computer Technology and Development, 2009,19(4):83-86.[HQ]

[12] Karakuzu C. Parameter Tuning of Fuzzy Sliding Mode Controller Using Particle Swarm Optimization[J]. International Journal of Innovative Computing Information and Control, 2010, 6(10): 4755-4770.

[13] 马国庆,黄大年,杜晓娟,等.Hartley变换在位场(重、磁)异常导数计算中的应用[J].吉林大学学报:地球科学版,2014,44(1):328-335. Ma Guoqing, Huang Danian, Du Xiaojuan, et al. Hartley Transform in the Application of the Derivatives Date[J]. Journal of Jilin University: Earth Science Edition, 2014, 44(1):328-335.

[14] 管志宁,侯俊胜.重磁异常反演的拟BP神经网路方法及其应用[J].地球物理学报,1998,41(2):242-251. Guan Zhining, Hou Junsheng. Inversion of Gravity and Magnetic Anomalies Using Pseudo-BP Neural Network Method and Its Application[J]. Chinese Journal of Geophysics, 1998,41(2):242-251.

[15] 曾琴琴,王永华,吴文贤.二维磁异常的粒子群快速成像方法及其应用[J].吉林大学学报:地球科学版,2013,43(2):616-622. Zeng Qinqin, Wang Yonghua, Wu Wenxian. Fast Imaging of 2D Magnetic Anomaly by Particle Swarm Optimization and Its Application[J]. Journal of Jilin University: Earth Science Edition, 2013, 43(2): 616-622.

[16] Chua L, Thiran P. An Analytic Method for Designing Simple Cellular Neural Networks[J]. IEEE Trans on Circuits and Systems, 1991, 38(11):1332-1341.

[17] 范正国,刘前坤,黄旭钊,等.自适应重磁对应分析[J].吉林大学学报:地球科学版,2012,42(6):1904-1919. Fan Zhengguo, Liu Qiankun, Huang Xuzhao, et al. Adaptive Correlative Analysis Between Aeromagnetic and Gravity Anomaly[J]. Journal of Jilin University: Earth Science Edition, 2012, 42(6): 1904-1919.

[18] Zarandy A, Stoeffets A K, Roska T,et al. Implementation of Binary and Gray-Scale Mathematical Morphology on the CNN Universal Machine[J]. IEEE Trans on CAS, 1998,45(2): 163-168.

[19] 侯遵泽,杨文采.中国重力异常的小波变换与多尺度分析[J].地球物理学报,1997,40(1):85-95. Hou Zunze, Yang Wencai. Wavelet Transform and Multi-Scale Analysis on Gravity Anomalies of China[J]. Chinese Journal of Sinica, 1997,40(1):85-95.

[20] 杨文采,施志群,侯遵泽,等.离散小波变换与重力异常多重分解[J].地球物理学报, 2001,44(4):534-541. Yang Wencai, Shi Zhiqun, Hou Zunze, et al. Discrete Wavelet Transform for Multiple Decomposition of Gravity Anomalies[J]. Chinese Journal of Geophysics, 2001,44(4):534-541.

[21] Hinze W J, Aiken C V,Brozena J M,et al. New Standard for Reducing Gravity Data: The North American Gravity Database[J]. Geophysics, 2005,70(4): 346-365.

[22] Wu Jianshe, Jiao Licheng. Synchronization in Dynamic Networks with Nonsymmetrical Time-Delay Coupling Based on Linear Feedback Controllers[J]. Physica, 2008, 387(3): 2111-2119.

[23] Zhong W S, Stefanovski J D,Dimirovski G M,et al. Decentralized Control and Synchronization of Time-Varying Complex Dynamical Network[J]. Physica, 2009, 142(7): 151-167.

[24] Krink T, Vesterstrom J S, Riget J. Particle Swarm Optimization with Spatial Particle Extension[C]//Proceeding of International Conference on Evolutionary Computation.[S.l.].IEEE, 2002: 1474-1497.

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