简介:摘要:现在最新型的技术AVA空调系统不仅有舒适的特点,在节能技术上也是种走在了行业前端,并且由于它具有极大的灵活性,现在已经开始在空调系统当中被大量的使用,并且现在超越了其他的系统,一跃成为了主流。不过,AVA空调系统从我国开始使用以来,其实也没有达到人们所期待的效果。倘若控制的效果不好,那么在系统呢应用以及普及上就会非常困难,影响巨大。
简介:该文阐述了叠前AVA反演与储层预测软件系统的核心技术、设计实现及主要功能。该系统应用现代软件工程理论.针对大型物探软件特点.采用结构化数据管理及构件化软件架构方案设计而成,是一套面向油气储集层岩性、物性、合油气性参数预测的叠前反演及储层预测软件系统。该系统采用模拟退火叠前AVA同时反演方法、地震属性优选与融合方法、Kohonen自组织储层聚类分析与MLP多层感知器的非线性储层物性参数预测等方法,实现了储集层空间展布的精细刻画与物性参数的定量分析,因此可用来解决非均质储层预测问题。该系统已在多个研究区得到应用。预测结果与钻井结果吻合率较高。系统提供的界面开发库与基础算法库也为新技术、新方法的集成提供了基础平台。
简介:MostcurrentprestackAVAjointinversionmethodsarebasedontheexactZoeppritzequationanditsvariousapproximations.However,theseequationsonlyreflecttherelationbetweenreflectioncoefficients,incidenceangles,andelasticparametersoneithersideoftheinterface,whichmeansthatwave-propagationeffects,suchassphericalspreading,attenuation,transmissionloss,multiples,andeventmismatchingofP-andS-waves,arenotconsideredandcannotaccuratelydescribethetruepropagationcharacteristicsofseismicwaves.ConventionalAVAinversionmethodsrequirethatthesewave-propagationeffectshavebeenfullycorrectedorattenuatedbeforeinversionbuttheserequirementscanhardlybesatisfiedinpractice.Usingaone-dimensional(1D)earthmodel,thereflectivitymethodcansimulatethefullwavefieldresponseofseismicwaves.Therefore,weproposeanonlinearmulticomponentprestackAVAjointinversionmethodbasedonthevectorizedreflectivitymethod,whichusesafastnondominatedsortinggeneticalgorithm(NSGAII)tooptimizethenonlinearmultiobjectivefunctiontoestimatemultipleparameters,suchasP-wavevelocity,S-wavevelocity,anddensity.Thisapproachisrobustbecauseitcansimultaneouslycopewithmorethanoneobjectivefunctionwithoutintroducingweightcoefficients.Modeltestsprovetheeffectivenessoftheproposedinversionmethod.Basedontheinversionresults,wefindthatthenonlinearprestackAVAjointinversionusingthereflectivitymethodyieldsmoreaccurateinversionresultsthantheinversionbyusingtheexactZoeppritzequationwhenthewave-propagationeffectsoftransmissionlossandinternalmultiplesarenotcompletelycorrected.