CAJ | 학술논문

根据滩浅海近地表结构特征,尝试利用地震记录中的面波进行近地表结构研究,以便了解滩浅海地区的近地表地层介质结构变化,为深层油气勘探提供准确的低降速带资料.针对面波频散反演已有方法存在的不足,引入一种基于BP神经网络的迭代反演方法对面波的频散曲线进行拟合迭代,用于反演预测滩浅海低降速带地层参数.由于神经网络具有很强的自学习、自适应、自组织和容错能力,它的反演预测能力非常强大,能够较精确地预测出所要求解的目标数据,同时结合传统迭代反演方法的优点,增强了该方法的反演预测能力.通过对滩浅海近地表结构模型试算,获得好的效果,同时进一步对实际记录进行了计算,也取得了比较满意的结果.
근거탄천해근지표결구특정,상시이용지진기록중적면파진행근지표결구연구,이편료해탄천해지구적근지표지층개질결구변화,위심층유기감탐제공준학적저강속대자료.침대면파빈산반연이유방법존재적불족,인입일충기우BP신경망락적질대반연방법대면파적빈산곡선진행의합질대,용우반연예측탄천해저강속대지층삼수.유우신경망락구유흔강적자학습、자괄응、자조직화용착능력,타적반연예측능력비상강대,능구교정학지예측출소요구해적목표수거,동시결합전통질대반연방법적우점,증강료해방법적반연예측능력.통과대탄천해근지표결구모형시산,획득호적효과,동시진일보대실제기록진행료계산,야취득료비교만의적결과.
Because traditional methods applied in investigating surface-structure are restricted on paralic zone,according to the feature of surface-structure on paralic zone,the try is done to use the surface wave on seismic record to research the surface-structure and to offer deep exploration activity of weathering zone.In view of shortages in the methods applied in dispersion curve inversion of surface wave,an iterative inversion method based on BP(Back-propagation) artificial neural network is introduced to surface wave and it is used to predict the parameters of weathering zone on paralic zone.Combined with very strong self-learning,self-adapting,self-organizing and fault-tolerant ability of neural network,the prediction power of conventional iterative inversion method is enhanced effectively.By testing the model of paralic surface-structure,the good effect can be obtained.Moreover,applied to real data,the method still gives out satisfactory result.