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1、西南石油大學(xué)學(xué)報(bào)(自然科學(xué)版)2014年8月第36卷第4期JournalofSouthwestPetroleumUniversity(Science&TechnologyEdition)鈄辱蟲層缸Vo1.36No.4Aug.2014DOI:10.11885/j.issn.1674-5086.2012.11.19.06文章編號:1674.5086(2014)04.0047—08中圖分類號:TEl32文獻(xiàn)標(biāo)志碼:A分頻重構(gòu)反演及在薄互層儲層預(yù)測中的應(yīng)用球趙繼龍1,2,熊冉,陳戈,王俊鵬,劉玲利1.中國地質(zhì)大學(xué)(武漢)資源
2、學(xué)院,湖北武漢430074;2.中國石油杭州地質(zhì)研究院,浙江杭州310023摘要:塔北隆起卻勒一羊塔地區(qū)古近系底砂巖段發(fā)育一套扇三角洲前緣砂、泥薄互層儲層,通過對薄互層儲層的鉆井巖芯、錄測井分析,探討了常規(guī)曲線分頻分量的儲層地質(zhì)含義,優(yōu)選了薄互層巖性敏感曲線和地層平均速度敏感曲線。在曲線預(yù)處理、標(biāo)準(zhǔn)化處理等前提下,利用小波分頻分解的原理和方法,分頻提取儲層巖性敏感伽馬曲線的中頻分量和地層平均層速度敏感聲波曲線的低頻分量。統(tǒng)計(jì)回歸,建立伽馬曲線與聲波曲線的轉(zhuǎn)換模型。模型法將伽馬曲線轉(zhuǎn)換為聲波曲線量綱。小波分頻重構(gòu)融合伽
3、馬曲線中頻分量和聲波曲線低頻分量信息,構(gòu)建具有聲波量綱的擬聲波曲線。利用擬聲波曲線約束地震反演,提高地震頻帶寬度和地震資料分辨率,預(yù)測了薄互層砂巖的分布區(qū),薄層砂巖主要分布于北部的QL1井和東部的YT5井附近。關(guān)鍵詞:卻勒一羊塔地區(qū);薄互層儲層;敏感性分析;分頻重構(gòu);擬聲波反演SeismicInversionofFrequencyDivisionsReconstructionandItsApplicationThinInterbeddedSandReservoirPredictionZhaoJilong1一Xiong
4、Ran2ChenGe2WangJunpeng2LiuLingli2,,,,1.FacultyofEaahResources,ChinaUniversityofGeosciences(Wuhan),Wuhan,Hubei430074,China2.HangzhouResearchInstituteofPetroleumGeology,PetroChina,Hangzhou,Zhejiang310023,ChinaAbstract:InQuele—YangtaAreaofTabeiUplift,thePalaeogene
5、lowersandsectionisfan—deltafrontfacieandthestrati—graphicissand-shalethininterbeddedreservoirs.Inthispaper,weanalyzedthecoreandloggingofthininterbeddedreser-voirs,discussedthegeologysignificanceofthereservoirbydiferentcurvefrequencydivisioncomponent,andoptimize
6、dthethininterbeddedreservoirslithologysensitiveloggingandstratigraphicaveragevelocitysensitivelogging.Onthebasisofcurveforeprocessingandnormalization,weexteactedthemiddlefrequencycomponentofreservoirslithologysensitivelog—ging(GR),andthelowfrequencycomponentofs
7、tratigraphicaveragevelocitysensitivelogging(DT),withtheprincipleofwaveletfrequencydivisionanddecomposition.BasedontheStatisticmethodofthestatisticregression.Basedonthemethodofthestatisticregression.thetransformationmode1withGR-DTcurvewasestablished.a(chǎn)ndthisstati
8、stica1modelwillconverseGRcurvetoDTcurvedimension.Accordingtothetechnologyofwaveletloggingfrequencydivisionreconstruct,weconstruc—tquasiacousticloggingcombinedwiththemiddlefr