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二维大地电磁资料的差分蚁群法反演

Keywords: 大地电磁,二维反演,差分蚁群算法

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Abstract:

?差分蚁群算法是一种有效的多维函数优化算法。它将每一维变量对应的连续取值的步长离散成有限多个差分步长;然后将这些离散的差分步长和图顶点建立起对应关系;进一步利用柯西分布在图顶点上分配信息素,这样蚂蚁就可以按照信息素的浓度随机选择步长。将此算法应用到二维大地电磁资料的反演中,理论和数值实验结果表明,差分蚁群算法不受初始模型的限制,不仅能够很好地处理无噪声下的反演问题,用于实测资料的处理也取得了较好的效果。

References

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[2]  陈乐寿,刘任,王天生.大地电磁测深资料处理与解释.北京:石油工业出版社,1989.
[3]  fengsichen,wangxuben,ruanshuai.comparisonamongseveralinversionalgorithmof1.
[4]  mt.ogp,2004,39(5):594-599.
[5]  constablescetal.occam'sinversiontogeneratesmooth,two-dimensionalmodelsfrommagnetotelluricdata[j].geophysics.1990,55(12):1613-1624
[6]  smithjtandbookerjr.rapidinversionoftwo-andthree-dimensionalmagnetotelluricdata[j].jgeophysres.1991,96:3905-3922
[7]  rodiwlandmackierl.nonlinearconjugategradientsalgorithmfor2-dmagnetotelluricinversion[j].geophysics.2001,66(1):174-187
[8]  siripunvarapornwandegbertg.anefficientdata-subspaceinversionmethodfor2-dmagnetotelluricdata[j].geophysics.2000,65(3):791-803
[9]  师学明,王家映.一维层状介质大地电磁模拟退火反演法.地球科学——中国地质大学学报,1998,23(5):542-546.
[10]  shixueming,wangjiaying.onedimensionalmagnetotelluricsoundinginversionusingsimulatedannealing.earthscience:journalofchinauniversityofgeosciences,1998,23(5):542-546.
[11]  蔚宝强,胡文宝.mt资料的遗传法反演.江汉石油学院学报,1999,21(3):25-29.
[12]  weibaoqiang,huwenbao.geneticinversionalgorithmformtdata.journalofjianghanpetroleuminstitute,1999,21(3):25-29.
[13]  易远元,王家映.粒子群反演方法.工程地球物理学报,2009,6(4):385-389.
[14]  高尚,钟娟,莫述军.连续优化问题的蚁群算法研究.微机进展,2003,13(1):21-22,69.
[15]  gaoshang,zhongjuan,moshujun.researchonantcolonyalgorithmforcontinuousoptimizationproblem.microcomputerdevolopment,2003,13(1):21-22,69.
[16]  陈双全,王尚旭,季敏等.地震波阻抗反演的蚁群算法实现[j].石油物探.2005,44(6):551-553
[17]  chenshuangquan,wangshangxu,jiminetal.thecolonyoptimizationfortheseismicimpedanceinversion.gpp,2005,44(6):551-553.
[18]  黄捍东,张如伟,于茜.基于蚁群算法的层速度反演方法[j].石油地球物理勘探.2008,43(4):422-424浏览
[19]  huanghandong,zhangruweiandyuqian.inversionmethodofintervalvelocitybasedonantcolonyalgorithm[j].ogp.2008,43(4):422-424浏览
[20]  严哲,顾汉明,赵小鹏.基于蚁群算法的非线性avo反演[j].石油地球物理勘探.2009,44(6):700-702浏览
[21]  yanzhe,guhanming,zhaoxiaopeng.non-linearavoinversionbasedonantcolonyalgorithm[j].ogp.2009,44(6):700-702浏览
[22]  korosecp,silcjandfilipicb.thedifferentialant-stigmergyalgorithm[j].informationsciences.2012,192:82-97
[23]  冯思臣,王绪本,阮帅.一维大地电磁测深几种反演算法的比较研究[j].石油地球物理勘探.2004,39(5):594-599浏览
[24]  shawrandsrivastavas.particleswarmoptimization:anewtooltoinvertgeophysicaldata.geophysics,2007,72(2):75-83.
[25]  yiyuanyuan,wangjiaying.particleswarmoptimizationinversionmethod.chinesejournalofengineeringgeophysics,2009,6(4):385-389.
[26]  colornia,dorigomandmaniezzov.distributedoptimizationbyantcolonies.procofthefirsteuropeanconferenceonartificiallife,paris,france.elsevierpublishing,1991,134-142.
[27]  colornia,dorigom,maniezzovetal.antsystemforjob-shopscheduling.belgjoperres,statcomputsoc,1994,34(1):39-53.
[28]  zhengh,wongaandnahavandis.hybridantcolo-nyalgorithmfortextureclassification.proceedingsofthe200.
[29]  congressonevolutionarycomputation,2003,4:2648-2652.
[30]  gomezjf,khodrhm,deoliveirapmetal.antcolonysystemalgorithmfortheplanningofprimarydistributioncircuits.ieeetransationsonpowersystems,2004,19(2):995-1004.

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