利用測井資料識別沉積微相方法研究

利用測井資料識別沉積微相方法研究一、本文概述Overviewofthisarticle《利用測井資料識別沉積微相方法研究》這篇文章主要探討了如何利用測井資料來識別沉積微相的方法。沉積微相是沉積環(huán)境中具體的、小規(guī)模的沉積單元，它們對油氣藏的形成和分布具有重要的影響。因此，準(zhǔn)確識別沉積微相是油氣勘探和開發(fā)中的關(guān)鍵環(huán)節(jié)。Thisarticlemainlyexploreshowtouseloggingdatatoidentifysedimentarymicrofacies.Sedimentarymicrofaciesarespecific,small-scalesedimentaryunitsinsedimentaryenvironmentsthathavesignificantimpactsontheformationanddistributionofoilandgasreservoirs.Therefore,accuratelyidentifyingsedimentarymicrofaciesisakeylinkinoilandgasexplorationanddevelopment.本文首先介紹了沉積微相的基本概念和研究意義，闡述了沉積微相與油氣藏的關(guān)系。接著，詳細(xì)分析了測井資料在識別沉積微相中的應(yīng)用原理和方法，包括測井資料的基本類型、處理方法和解釋技術(shù)。在此基礎(chǔ)上，文章重點(diǎn)探討了如何利用測井資料中的多種信息（如電阻率、聲波速度、自然伽馬等）來識別不同的沉積微相，包括砂巖、泥巖、碳酸鹽巖等。Thisarticlefirstintroducesthebasicconceptandresearchsignificanceofsedimentarymicrofacies,andelaboratesontherelationshipbetweensedimentarymicrofaciesandoilandgasreservoirs.Subsequently,theapplicationprinciplesandmethodsofloggingdatainidentifyingsedimentarymicrofacieswereanalyzedindetail,includingthebasictypes,processingmethods,andinterpretationtechniquesofloggingdata.Onthisbasis,thearticlefocusesonexploringhowtousevariousinformationfromloggingdata(suchasresistivity,acousticvelocity,naturalgamma,etc.)toidentifydifferentsedimentarymicrofacies,includingsandstone,mudstone,carbonaterocks,etc.本文還討論了影響沉積微相識別的因素，如測井?dāng)?shù)據(jù)的質(zhì)量、解釋模型的準(zhǔn)確性等，并提出了相應(yīng)的解決方案。通過實(shí)際案例的分析，驗(yàn)證了所提出方法的可行性和有效性。Thisarticlealsodiscussesthefactorsthataffecttheidentificationofsedimentarymicrofacies,suchasthequalityofloggingdataandtheaccuracyofinterpretationmodels,andproposescorrespondingsolutions.Thefeasibilityandeffectivenessoftheproposedmethodhavebeenverifiedthroughtheanalysisofpracticalcases.本文的研究成果對于提高沉積微相識別的準(zhǔn)確性和效率具有重要的理論和實(shí)踐意義，有助于推動(dòng)油氣勘探和開發(fā)工作的進(jìn)一步發(fā)展。Theresearchresultsofthisarticlehaveimportanttheoreticalandpracticalsignificanceforimprovingtheaccuracyandefficiencyofsedimentarymicrofaciesidentification,andcontributetothefurtherdevelopmentofoilandgasexplorationanddevelopmentwork.二、沉積微相基本概念及分類Basicconceptsandclassificationofsedimentarymicrofacies沉積微相是沉積學(xué)中的一個(gè)重要概念，它描述了沉積環(huán)境中由于水動(dòng)力條件、物質(zhì)來源和沉積作用方式等因素的微小差異而形成的沉積體內(nèi)部細(xì)微的沉積特征變化。這些變化在測井曲線上表現(xiàn)為一系列具有不同形態(tài)和幅值的異常響應(yīng)，因此，通過測井資料的分析，可以有效地識別沉積微相，揭示沉積體的內(nèi)部結(jié)構(gòu)和沉積環(huán)境。Sedimentarymicrofaciesisanimportantconceptinsedimentology,whichdescribesthesubtlechangesinsedimentarycharacteristicswithinsedimentarybodiesformedbysmalldifferencesinhydrodynamicconditions,materialsources,andsedimentaryprocessesinsedimentaryenvironments.Thesechangesaremanifestedasaseriesofabnormalresponseswithdifferentshapesandamplitudesontheloggingcurve.Therefore,throughtheanalysisofloggingdata,sedimentarymicrofaciescanbeeffectivelyidentified,andtheinternalstructureandsedimentaryenvironmentofsedimentarybodiescanberevealed.沉積微相的分類通?；诔练e物的粒度、沉積構(gòu)造、生物化石、顏色、成分等特征，以及沉積環(huán)境的水動(dòng)力條件和沉積作用方式。常見的沉積微相類型包括：Theclassificationofsedimentarymicrofaciesisusuallybasedonthecharacteristicsofsedimentparticlesize,sedimentarystructure,biologicalfossils,color,composition,aswellasthehydrodynamicconditionsandsedimentaryprocessesofthesedimentaryenvironment.Commontypesofsedimentarymicrofaciesinclude:河道微相：河道微相通常表現(xiàn)為粗粒度的砂礫沉積，測井曲線上呈現(xiàn)為高幅度的箱形或鐘形。這種微相反映了高能的水流環(huán)境，其中水流攜帶大量粗粒物質(zhì)在河道中沉積。Rivermicrofacies:Rivermicrofaciesareusuallycharacterizedbycoarse-grainedsandandgraveldeposits,whichappearashighamplitudeboxorbellshapedonloggingcurves.Thismicrofaciesreflectsahigh-energywaterflowenvironment,inwhichwatercarriesalargeamountofcoarse-grainedmaterialdepositedintheriverchannel.河口壩微相：河口壩微相是河流與海洋或湖泊交匯處的沉積體，通常由細(xì)粒度的砂質(zhì)沉積組成。測井曲線上表現(xiàn)為低幅度的指狀或齒狀。這種微相反映了水動(dòng)力條件逐漸減弱的環(huán)境。Mouthbarmicrofacies:Mouthbarmicrofaciesaresedimentarybodieslocatedattheconfluenceofrivers,oceans,orlakes,typicallycomposedoffine-grainedsandysediments.Theloggingcurveshowsalowamplitudefingerortoothshape.Thismicrofaciesreflectsanenvironmentwherehydrodynamicconditionsaregraduallyweakening.三角洲微相：三角洲微相是河流攜帶大量沉積物進(jìn)入海洋或湖泊時(shí)形成的扇形沉積體。根據(jù)三角洲的不同部位，可分為三角洲平原、三角洲前緣和三角洲前淵等亞相。測井曲線上，三角洲平原通常表現(xiàn)為高幅度的箱形或鐘形，而三角洲前緣和前淵則可能呈現(xiàn)為低幅度的指狀或齒狀。Deltamicrofacies:Deltamicrofaciesarefan-shapedsedimentarybodiesformedwhenriverscarryalargeamountofsedimentintooceansorlakes.Accordingtodifferentpartsofthedelta,itcanbedividedintosubfaciessuchasdeltaplain,deltafront,anddeltaforebay.Onloggingcurves,deltaplainstypicallyexhibithighamplitudeboxorbellshapedpatterns,whiledeltafrontedgesandforebaysmayexhibitlowamplitudefingerortoothshapedpatterns.灘涂微相：灘涂微相通常出現(xiàn)在潮汐作用強(qiáng)烈的海岸帶或河口地區(qū)，由細(xì)粒度的泥質(zhì)沉積組成。測井曲線上表現(xiàn)為平滑的低幅度。這種微相反映了低能的水流環(huán)境。Mudflatmicrofacies:mudflatmicrofaciesusuallyoccurinthecoastalzoneorestuaryareawithstrongtidalaction,andarecomposedoffine-grainedmuddysediments.Theloggingcurveshowsasmoothlowamplitude.Thismicrofaciesreflectsalow-energywaterflowenvironment.濱岸微相：濱岸微相是海岸帶地區(qū)的沉積體，根據(jù)海岸類型可分為砂質(zhì)海岸、泥質(zhì)海岸和生物海岸等。測井曲線上，砂質(zhì)海岸通常表現(xiàn)為高幅度的箱形或鐘形，而泥質(zhì)海岸和生物海岸則可能呈現(xiàn)為低幅度的指狀或齒狀。Coastalmicrofacies:Coastalmicrofaciesaresedimentarybodiesincoastalareas,whichcanbedividedintosandycoasts,muddycoasts,andbiologicalcoastsbasedoncoastaltypes.Onloggingcurves,sandycoaststypicallyexhibithighamplitudeboxorbellshapes,whilemuddycoastsandbiogeniccoastsmayexhibitlowamplitudefingerortoothshapes.通過對這些沉積微相的識別和分析，可以深入了解沉積體的形成過程、沉積環(huán)境和沉積作用方式，為油氣勘探和開發(fā)提供重要的地質(zhì)依據(jù)。Byidentifyingandanalyzingthesesedimentarymicrofacies,wecangainadeeperunderstandingoftheformationprocess,sedimentaryenvironment,andsedimentaryprocessesofsedimentarybodies,providingimportantgeologicalbasisforoilandgasexplorationanddevelopment.三、測井資料在沉積微相識別中的應(yīng)用Applicationofloggingdatainsedimentarymicrofaciesidentification測井資料在沉積微相識別中發(fā)揮著至關(guān)重要的作用。通過測井資料，我們可以對地下巖層的物理性質(zhì)進(jìn)行非常精細(xì)的分析，從而推斷出沉積環(huán)境和沉積過程，進(jìn)一步劃分和識別沉積微相。Loggingdataplaysacrucialroleinidentifyingsedimentarymicrofacies.Throughloggingdata,wecanconductaverydetailedanalysisofthephysicalpropertiesofundergroundrocklayers,infersedimentaryenvironmentsandprocesses,andfurtherdivideandidentifysedimentarymicrofacies.測井資料能夠提供關(guān)于地層厚度、巖性、孔隙度、含水飽和度等一系列關(guān)鍵信息。例如，自然伽馬測井能夠反映地層的放射性強(qiáng)度，從而幫助我們識別出不同類型的巖石，如泥巖、砂巖等。電阻率測井則可以提供地層的導(dǎo)電性信息，對于識別含油氣層、含水層等具有重要意義。Wellloggingdatacanprovideaseriesofkeyinformationaboutformationthickness,lithology,porosity,watersaturation,andsoon.Forexample,naturalgammaloggingcanreflecttheradioactiveintensityoftheformation,helpingusidentifydifferenttypesofrocks,suchasmudstoneandsandstone.Electricalresistivityloggingcanprovideinformationontheconductivityoftheformation,whichisofgreatsignificanceforidentifyingoilandgasbearinglayers,aquifers,etc.測井資料還可以用于分析地層的沉積構(gòu)造和沉積序列。通過對比不同測井曲線的形態(tài)和幅度變化，我們可以推斷出地層的沉積旋回、沉積韻律等信息，進(jìn)而劃分出不同的沉積微相。例如，在碎屑巖沉積中，測井資料可以幫助我們識別出河道、河漫灘、三角洲等不同沉積微相。Wellloggingdatacanalsobeusedtoanalyzesedimentarystructuresandsedimentarysequencesofstrata.Bycomparingthemorphologyandamplitudechangesofdifferentloggingcurves,wecaninferthesedimentarycycles,sedimentaryrhythms,andotherinformationofthestrata,andthendividethemintodifferentsedimentarymicrofacies.Forexample,inclasticsedimentaryrocks,loggingdatacanhelpusidentifydifferentsedimentarymicrofaciessuchasrivers,floodplains,anddeltas.測井資料還可以與其他地質(zhì)資料相結(jié)合，如地震資料、露頭資料等，進(jìn)行綜合分析。通過多維度的數(shù)據(jù)融合和解釋，我們可以更加準(zhǔn)確地識別出沉積微相，提高油氣勘探開發(fā)的效率和成功率。Loggingdatacanalsobecombinedwithothergeologicaldata,suchasseismicdata,outcropdata,etc.,forcomprehensiveanalysis.Throughmultidimensionaldatafusionandinterpretation,wecanmoreaccuratelyidentifysedimentarymicrofacies,improvetheefficiencyandsuccessrateofoilandgasexplorationanddevelopment.測井資料在沉積微相識別中具有不可替代的作用。通過深入研究和應(yīng)用測井資料，我們可以更加深入地了解地下巖層的沉積特征和油氣藏的形成規(guī)律，為油氣勘探開發(fā)提供更加可靠的地質(zhì)依據(jù)。Loggingdataplaysanirreplaceableroleinsedimentarymicrofaciesidentification.Throughin-depthresearchandapplicationofloggingdata,wecangainadeeperunderstandingofthesedimentarycharacteristicsofundergroundrocklayersandtheformationlawsofoilandgasreservoirs,providingmorereliablegeologicalbasisforoilandgasexplorationanddevelopment.四、沉積微相識別方法Identificationmethodsforsedimentarymicrofacies沉積微相識別是石油勘探和開發(fā)過程中的重要環(huán)節(jié)，它有助于我們深入理解地下儲層的非均質(zhì)性，預(yù)測油氣分布規(guī)律，并優(yōu)化開發(fā)策略。測井資料作為一種連續(xù)的地層信息記錄，具有分辨率高、信息豐富、覆蓋廣等優(yōu)點(diǎn)，因此在沉積微相識別中發(fā)揮著重要作用。本文重點(diǎn)介紹了幾種基于測井資料的沉積微相識別方法。Sedimentarymicrofaciesidentificationisanimportantstepinpetroleumexplorationanddevelopment,whichhelpsustodeeplyunderstandtheheterogeneityofundergroundreservoirs,predictthedistributionpatternsofoilandgas,andoptimizedevelopmentstrategies.Loggingdata,asacontinuousstratigraphicinformationrecord,hasadvantagessuchashighresolution,richinformation,andwidecoverage,thusplayinganimportantroleinsedimentarymicrofaciesidentification.Thisarticlefocusesonseveralsedimentarymicrofaciesidentificationmethodsbasedonwellloggingdata.首先是基于測井曲線的形態(tài)分析。不同的沉積微相在測井曲線上會表現(xiàn)出獨(dú)特的形態(tài)特征。例如，砂巖和泥巖在電阻率、聲波時(shí)差和自然伽馬等測井曲線上就有明顯的差異。通過對比分析這些測井曲線的形態(tài)變化，可以有效地識別出不同的沉積微相。Firstly,itisbasedonthemorphologicalanalysisofloggingcurves.Differentsedimentarymicrofaciesexhibituniquemorphologicalcharacteristicsonloggingcurves.Forexample,therearesignificantdifferencesbetweensandstoneandmudstoneinloggingcurvessuchasresistivity,acoustictimedifference,andnaturalgammaray.Bycomparingandanalyzingthemorphologicalchangesoftheseloggingcurves,differentsedimentarymicrofaciescanbeeffectivelyidentified.利用測井曲線進(jìn)行定量計(jì)算也是識別沉積微相的重要手段。通過計(jì)算諸如泥質(zhì)含量、粒度中值、分選系數(shù)等參數(shù)，可以定量地描述地層的沉積特征，從而進(jìn)一步確定沉積微相。這些參數(shù)的計(jì)算通?；诙喾N測井曲線的組合分析，如電阻率、聲波時(shí)差、密度等。Usingloggingcurvesforquantitativecalculationsisalsoanimportantmeansofidentifyingsedimentarymicrofacies.Bycalculatingparameterssuchasmudcontent,medianparticlesize,andsortingcoefficient,thesedimentarycharacteristicsoftheformationcanbequantitativelydescribed,therebyfurtherdeterminingthesedimentarymicrofacies.Thecalculationoftheseparametersisusuallybasedonthecombinationanalysisofmultipleloggingcurves,suchasresistivity,acoustictimedifference,density,etc.模式識別技術(shù)也在沉積微相識別中得到了廣泛應(yīng)用。通過構(gòu)建訓(xùn)練樣本庫，利用神經(jīng)網(wǎng)絡(luò)、支持向量機(jī)等機(jī)器學(xué)習(xí)算法，可以實(shí)現(xiàn)對測井?dāng)?shù)據(jù)的自動(dòng)分類和識別。這種方法可以大大提高識別效率，減少人為因素的影響。Patternrecognitiontechnologyhasalsobeenwidelyappliedinsedimentarymicrofaciesrecognition.Byconstructingatrainingsamplelibraryandutilizingmachinelearningalgorithmssuchasneuralnetworksandsupportvectormachines,automaticclassificationandrecognitionofloggingdatacanbeachieved.Thismethodcangreatlyimproverecognitionefficiencyandreducetheinfluenceofhumanfactors.綜合應(yīng)用多種識別方法也是提高沉積微相識別精度的有效途徑。在實(shí)際應(yīng)用中，我們可以根據(jù)具體的地質(zhì)條件和測井?dāng)?shù)據(jù)特點(diǎn)，選擇適合的識別方法并進(jìn)行綜合分析。例如，可以先通過形態(tài)分析和定量計(jì)算初步確定沉積微相類型，再利用模式識別技術(shù)進(jìn)行驗(yàn)證和優(yōu)化。Thecomprehensiveapplicationofmultipleidentificationmethodsisalsoaneffectivewaytoimprovetheaccuracyofsedimentarymicrofaciesidentification.Inpracticalapplications,wecanchoosesuitableidentificationmethodsandconductcomprehensiveanalysisbasedonspecificgeologicalconditionsandloggingdatacharacteristics.Forexample,thetypeofsedimentarymicrofaciescanbepreliminarilydeterminedthroughmorphologicalanalysisandquantitativecalculation,andthenverifiedandoptimizedusingpatternrecognitiontechnology.基于測井資料的沉積微相識別方法多種多樣，每種方法都有其獨(dú)特的優(yōu)勢和適用范圍。在實(shí)際應(yīng)用中，我們需要根據(jù)具體情況選擇合適的方法，并不斷優(yōu)化和完善識別流程，以提高識別精度和效率。Therearevariousmethodsforidentifyingsedimentarymicrofaciesbasedonloggingdata,eachwithitsuniqueadvantagesandapplicability.Inpracticalapplications,weneedtochooseappropriatemethodsbasedonspecificsituationsandcontinuouslyoptimizeandimprovetherecognitionprocesstoimproverecognitionaccuracyandefficiency.五、實(shí)例分析Exampleanalysis為了驗(yàn)證利用測井資料識別沉積微相方法的有效性，本研究選取了某油田的實(shí)際測井?dāng)?shù)據(jù)進(jìn)行分析。該油田地處我國東部，地質(zhì)構(gòu)造復(fù)雜，沉積相類型多樣，是進(jìn)行沉積微相研究的理想?yún)^(qū)域。Inordertoverifytheeffectivenessofusingloggingdatatoidentifysedimentarymicrofacies,thisstudyselectedactualloggingdatafromacertainoilfieldforanalysis.ThisoilfieldislocatedintheeasternpartofChina,withcomplexgeologicalstructuresanddiversesedimentaryfaciestypes,makingitanidealareaforstudyingsedimentarymicrofacies.在數(shù)據(jù)預(yù)處理階段，我們對測井?dāng)?shù)據(jù)進(jìn)行了嚴(yán)格的質(zhì)量控制，剔除了異常值和干擾信號，確保數(shù)據(jù)的準(zhǔn)確性和可靠性。隨后，我們根據(jù)前文所述的測井響應(yīng)特征，選擇了適當(dāng)?shù)臏y井曲線組合，包括自然伽馬、聲波時(shí)差、電阻率等，以反映地層的巖性、物性和含油性。Inthedatapreprocessingstage,westrictlycontrolthequalityofloggingdata,eliminateoutliersandinterferencesignals,andensuretheaccuracyandreliabilityofthedata.Subsequently,basedontheloggingresponsecharacteristicsmentionedearlier,weselectedanappropriatecombinationofloggingcurves,includingnaturalgamma,acoustictimedifference,resistivity,etc.,toreflectthelithology,physicalproperties,andoilcontentoftheformation.在沉積微相識別階段，我們采用了多元統(tǒng)計(jì)分析和模式識別技術(shù)。通過主成分分析（PCA）方法對測井?dāng)?shù)據(jù)進(jìn)行降維處理，提取出能夠反映地層特征的主成分。然后，利用支持向量機(jī)（SVM）分類器對主成分進(jìn)行訓(xùn)練和學(xué)習(xí)，構(gòu)建出沉積微相的識別模型。Inthestageofsedimentarymicrofaciesidentification,weadoptedmultivariatestatisticalanalysisandpatternrecognitiontechniques.ByusingPrincipalComponentAnalysis(PCA)methodtoreducethedimensionalityofloggingdata,principalcomponentsthatcanreflectthecharacteristicsoftheformationareextracted.Then,asupportvectormachine(SVM)classifierisusedtotrainandlearntheprincipalcomponents,andarecognitionmodelforsedimentarymicrofaciesisconstructed.通過對實(shí)際測井?dāng)?shù)據(jù)的處理和分析，我們成功識別出了該油田的主要沉積微相類型，包括河道、河口壩、遠(yuǎn)砂壩等。這些微相類型在測井曲線上呈現(xiàn)出明顯的響應(yīng)特征，如自然伽馬曲線的幅度變化、聲波時(shí)差曲線的形態(tài)差異等。通過與巖心資料和錄井資料的對比分析，驗(yàn)證了識別結(jié)果的準(zhǔn)確性。Byprocessingandanalyzingactualloggingdata,wehavesuccessfullyidentifiedthemainsedimentarymicrofaciestypesoftheoilfield,includingriverchannels,estuarinebars,anddistalsandbars.Thesemicrofaciestypesexhibitobviousresponsecharacteristicsonloggingcurves,suchasamplitudechangesinnaturalgammacurvesandmorphologicaldifferencesinacoustictimedifferencecurves.Theaccuracyoftheidentificationresultswasverifiedthroughcomparativeanalysiswithcoredataandloggingdata.我們還對識別出的不同沉積微相進(jìn)行了儲層評價(jià)和含油性預(yù)測。結(jié)果表明，河道和河口壩等微相類型的儲層物性較好，含油性較高，是油田開發(fā)的主要目標(biāo)區(qū)域。這一結(jié)果為油田的勘探開發(fā)提供了重要的決策依據(jù)。Wealsoconductedreservoirevaluationandoilbearingpredictionontheidentifieddifferentsedimentarymicrofacies.Theresultsindicatethatmicrofaciesreservoirssuchasriverchannelsandestuarinedamshavegoodphysicalpropertiesandhighoilcontent,makingthemthemaintargetareasforoilfielddevelopment.Thisresultprovidesimportantdecision-makingbasisfortheexplorationanddevelopmentofoilfields.利用測井資料識別沉積微相的方法在實(shí)際應(yīng)用中取得了良好的效果。通過對實(shí)際測井?dāng)?shù)據(jù)的處理和分析，我們能夠準(zhǔn)確地識別出不同的沉積微相類型，為油田的勘探開發(fā)提供有力的支持。該方法也為其他類似油田的沉積微相研究提供了有益的借鑒和參考。Themethodofidentifyingsedimentarymicrofaciesusingloggingdatahasachievedgoodresultsinpracticalapplications.Byprocessingandanalyzingactualloggingdata,wecanaccuratelyidentifydifferenttypesofsedimentarymicrofacies,providingstrongsupportfortheexplorationanddevelopmentofoilfields.Thismethodalsoprovidesusefulreferenceandguidanceforthestudyofsedimentarymicrofaciesinothersimilaroilfields.六、結(jié)論與展望ConclusionandOutlook本研究通過深入探索測井資料在沉積微相識別中的應(yīng)用，取得了一系列積極的成果。我們系統(tǒng)地梳理了測井資料的基本原理及其在沉積微相識別中的關(guān)鍵作用，詳細(xì)分析了不同類型的測井資料在識別沉積微相時(shí)的優(yōu)缺點(diǎn)，并通過多個(gè)實(shí)例展示了測井資料在沉積微相識別中的實(shí)際應(yīng)用效果。這些研究不僅深化了我們對測井資料在沉積微相識別中作用的理解，也為相關(guān)領(lǐng)域的研究提供了新的思路和方法。Thisstudyhasachievedaseriesofpositiveresultsthroughin-depthexplorationoftheapplicationofloggingdatainsedimentarymicrofaciesidentification.Wesystematicallyreviewedthebasicprinciplesofloggingdataanditskeyroleinsedimentarymicrofaciesidentification,analyzedindetailtheadvantagesanddisadvantagesofdifferenttypesofloggingdatainidentifyingsedimentarymicrofacies,anddemonstratedthepracticalapplicationeffectofloggingdatainsedimentarymicrofaciesidentificationthroughmultipleexamples.Thesestudiesnotonlydeepenourunderstandingoftheroleofloggingdatainsedimentarymicrofaciesidentification,butalsoprovidenewideasandmethodsforresearchinrelatedfields.在結(jié)論部分，我們總結(jié)了本研究的主要發(fā)現(xiàn)。測井資料在沉積微相識別中具有重要的應(yīng)用價(jià)值，其精度和效率均高于傳統(tǒng)方法。不同類型的測井資料在識別沉積微相時(shí)具有不同的優(yōu)勢，應(yīng)根據(jù)具體情況選擇適合的測井資料類型。通過綜合分析多種測井資料，我們可以更準(zhǔn)確地識別沉積微相，提高沉積學(xué)研究的精度和深度。Intheconclusionsection,wesummarizedthemainfindingsofthisstudy.Loggingdatahasimportantapplicationvalueinsedimentarymicrofaciesidentification,withhig