(最新)储层建模(1)

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1、储层随机建模型地球物理石油地质油藏工程?3D储层模型地质统计学分析单变量统计校准样品数据的分布各种数据类型中的统计关系极端和异常值空间分布统计空间连续性测量估计/模拟区域和纵向的独立性合适算法的选择主要依据如下：空间变化的理论模型-结果模型的应用属性值大小的独立性-离散变量的独立性（岩相）-转换为其它统计域多个实现：-不确定性评价—定性和定量-生成模型的分布（如体积）建模的实质？？？？？？？？？？？根据样品信息，在未取样位置预测储层特性的表现。困难的选择IsotropicVariogrampictu

2、reshowinglaghistogram(yellowbars),datasemivariance(reddots),modelvariogram(redline),sillvalue(bluedashedline).ResGram:InteractiveIsotropic/AnisotropicVariographyControlPanelforResGram2.0.ControlofIsotropic/Anisotropicmodeling,NestedStructures,Specifica

3、tionofvariogramtype,tooltiphelp,Save/RecallCapabilitiesalleasilycontrolledfromthispanel.FigureshowsasnapshotofResGram2.0'sanisotropicvariogrammodelingabilities.Redarrowsrepresentoneofeightspecifieddirections,EllipserepresentsEccentricityandAngleofrotat

4、ionofmajorandminoraxes.Figureshowsa3Dazimuthalhistogramplot.Tallerbarsrepresentmoredatapairsalongthatazimuth.Lagscanbechanged.FigureshowsabilitytotakegraphicsandedittheminthePaletteEditorNoticethe"AddedText"label.ResMod:ReservoirCharacterizationToolFac

5、iesmodelingworkflowwherebythestochasticaccousticimpedancevolume(bottom)isrelatedtofacieswithproporationcurves(middle)tocreateafull3Dseismic-basedfaciesmodel.WellandSurfaceControldatamodelusedasaframeworkforhigh-resolutionfaciesandpropertymodeling.Poros

6、itymodel(bottom)createdbasedonstochasticseismicinversion(top-left)and3Dseismic-basedfaciesmodel(top-right).Porosity-Impedancerelationshipsbyfaciestypeareshowninthecrossplots(middle-left)andfacies-porosityrelationshipsareshowninthehistorgrams(middle-rig

7、ht).Porositymodelsshowingincreasedcontinuityfromusingtheporosity-impedancerelationship.ResSeis:DeterministicandStochasticSeismicInversionOriginalProcessedSeismicVolume(top)andStochasticSeismicInversion(bottom).TheStochasticInversionusesasitsconstraints

8、theoriginalseismicvolume,AIwelllogs,andthedeterministicinversion.Increasedverticalresolutionisobtainedfromthewelllogs.ResSeisimageofsimultaneouswaveletestimation,depthtotimeconversionofwellslogsandqualitycontrolofseismicinterpretation(s