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简介：Thepaperpresentsa0-Dmodelofanalluvialwatercourseschematizedintwoconnectedreaches,evolvingatthelongtime-scaleandunderthehypothesisofLocalUniformFlow.Eachreachisdefinedbyitsgeometry(constantlengthandwidth,time-changingslope)andgrain-sizecompositionofthebed,whilethesedimenttransportiscomputedusingasedimentratingcurve.Theslopeevolutionisprovidedbya0-Dmassbalanceandtheevolutionofthebedcompositioniscomputedbya0-DHiranoequation.Asystemofdifferentialequations,solvedwithapredictor-correctorscheme,isderivedandappliedtotheschematicwatercoursetosimulatethemorphologicalresponsetochanginginitialconditions,andtheevolutiontowardslong-termequilibriumconditions.Differentlyfromasingle-reach0-Dschematizationwithuniformgrain-size,besidesthesimplificationsadopted,themodelproposedheresimulatesthebehaviourofalluvialriversinaphysically-basedway,showingagrain-sizefininginthedownstreamdirectionaccompaniedbymilderslopes,andatendencytodevelopconcavelongitudinalprofiles.

简介：苏14井区属苏里格气田,地质情况十分复杂,主要表现为砂岩发育,但有效砂岩非均质性强,横向变化大,厚度较薄,在垂向上分布比较分散。属性分析已是目前寻找非构造油气藏的有效手段之一。本文利用叠前地震资料、叠前纵横波联合反演结果和叠后属性进行属性融合,不但保留了叠前所含的流体信息,而且利用了叠后数据的高信噪比特点。采用单步递归方法从多个属性中寻找最优的属性组合,利用概率神经网络方法训练测井曲线与地震属性之间的非线性关系,并用训练样本预测苏14井区的自然咖玛,提高地震资料的分辨率,较好地预测苏14井区的有效储层分布范围,为储层精细描述提供依据。