Article(id=1322957333923496908, tenantId=1146029695717560320, journalId=1322258508890079423, issueId=1322957283147252214, articleNumber=null, orderNo=null, doi=10.13809/j.cnki.cn32-1825/te.2024580, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1735056000000, receivedDateStr=2024-12-25, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793347207765, onlineDateStr=2026-10-30, pubDate=1774454400000, pubDateStr=2026-03-26, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793347207765, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793347207765, creator=13701087609, updateTime=1793347207765, updator=13701087609, issue=Issue{id=1322957283147252214, tenantId=1146029695717560320, journalId=1322258508890079423, year='2026', volume='16', issue='2', pageStart='225', pageEnd='488', issueExtLink='null', onlineDate='null', pubDate='1774454400000', pubDateStr='2026-03-26', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793347195659, creator='13701087609', updateTime=1793348987089, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322964796999611071, tenantId=1146029695717560320, journalId=1322258508890079423, issueId=1322957283147252214, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322964796999611072, tenantId=1146029695717560320, journalId=1322258508890079423, issueId=1322957283147252214, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=301, endPage=314, ext={EN=ArticleExt(id=1322957334108046285, articleId=1322957333923496908, tenantId=1146029695717560320, journalId=1322258508890079423, language=EN, title=Classification and optimization of deep marine shale reservoir facies: A case study of Longmaxi Formation shale in Luzhou block, southern Sichuan Basin, columnId=1322941494130258079, journalTitle=Petroleum Reservoir Evaluation and Development, columnName=Oil and Gas Exploration, runingTitle=null, highlight=

In the exploration and development of marine shale gas in southern China, traditional lithofacies classification does not fully account for the effect of thermal maturity on reservoir space, resulting in suboptimal development of thermally mature marine shales. Therefore, a reservoir facies classification method based on thermal maturity, organic matter content, and mineral composition was proposed to improve the accuracy of reservoir evaluation and identify optimal reservoir facies types. Thin section observation, scanning electron microscopy (SEM), and various experimental tests were conducted to systematically analyze the reservoir facies characteristics of the Lower Silurian Longmaxi Formation shale in the southern Sichuan Basin, and a comprehensive reservoir evaluation was conducted. The research results showed that the reservoir facies of the Longmaxi Formation shale in southern Sichuan were mainly overmature organic-rich siliceous shale (OR-S) and overmature organic-rich mixed shale (OR-M). Vertically, the reservoir facies showed a transition from overmature organic-rich siliceous shale (OR-S) at the bottom to overmature organic-rich mixed shale (OR-M) at the top. Laterally, the reservoir facies exhibited significant heterogeneity, and the siliceous mineral content gradually decreased from southwest to northeast, showing a transition from overmature organic-rich siliceous shale (OR-S) to overmature organic-rich mixed shale (OR-M) and overmature organic-rich argillaceous shale (OR-A). Through grey correlation analysis, a reservoir facies index grading standard was established. Total organic carbon (TOC) content, gas content, porosity, reservoir facies thickness ratio, siliceous mineral content, and clay mineral content were selected as key evaluation indicators, identifying overmature organic-rich siliceous shale (OR-S) as the optimal reservoir facies. This reservoir facies is characterized by moderate thermal maturity, high TOC content, high gas content, large porosity, high siliceous mineral content, and large reservoir facies thickness, exhibiting superior reservoir performance.

, articleAbstract=null, authors=XUEYING WANG1, 2, KUN ZHANG1, 2, ZHENXUE JIANG3, 4, YAN SONG3, 4, 5, LIN JIANG5, XINYANG HE1, 2, JING LI6, LEI CHEN1, 2, SHUAICAI WU1, 2, YUANYUAN WANG7, authorsList=XUEYING WANG, KUN ZHANG, ZHENXUE JIANG, YAN SONG, LIN JIANG, XINYANG HE, JING LI, LEI CHEN, SHUAICAI WU, YUANYUAN WANG, authorCompany=null, correspAuthors=KUN ZHANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322957335836099550, articleId=1322957333923496908, tenantId=1146029695717560320, journalId=1322258508890079423, language=CN, title=深层海相页岩储集相划分及优选——以川南地区泸州区块龙马溪组页岩为例, columnId=1322941494327390371, journalTitle=油气藏评价与开发, columnName=油气勘探, runingTitle=null, highlight=

中国南方海相页岩气勘探开发中,传统岩相划分未充分考虑热演化对储集空间的影响,导致高热成熟海相页岩的开发效果欠佳。为此,提出基于热演化程度、有机质含量和矿物成分的储集相划分方法,以提高储层评价的准确性,并优选出优势储集相类型。研究采用薄片观察、扫描电子显微镜(SEM)和多种实验测试,对四川盆地南部下志留统龙马溪组页岩储集相特性进行系统分析,并开展储层综合评价。结果显示,川南龙马溪组页岩储集相主要为过成熟富有机质硅质页岩(OR-S)和过成熟富有机质混合质页岩(OR-M)。纵向上,储集相自下而上呈过成熟富有机质硅质页岩向过成熟富有机质混合质页岩的过渡趋势;横向上,储集相非均质性显著,南西至北东方向硅质矿物含量逐渐降低,表现为过成熟富有机质硅质页岩向过成熟富有机质混合质页岩和过成熟富有机质黏土质页岩(OR-A)的过渡特征。通过灰色关联度分析法,建立储集相指数分级标准,选取总有机碳(TOC)含量、含气量、孔隙度、储集相厚度比、硅质矿物含量及黏土矿物含量作为关键评价指标,确定过成熟富有机质硅质页岩为最优储集相。该储集相具有“热演化程度适中、TOC含量高、含气量高、孔隙度大、硅质矿物含量高、储集相厚度大”的特征,表现出优越的储层性能。

, articleAbstract=null, authors=王雪莹1, 2, 张昆1, 2, 姜振学3, 4, 宋岩3, 4, 5, 姜林5, 何鑫洋1, 2, 黎菁6, 陈雷1, 2, 吴帅材1, 2, 王媛媛7, authorsList=王雪莹, 张昆, 姜振学, 宋岩, 姜林, 何鑫洋, 黎菁, 陈雷, 吴帅材, 王媛媛, authorCompany=null, correspAuthors=张昆, authorNote=

王雪莹(2001—),女,在读硕士研究生,主要从事非常规油气地质方面的研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:

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张昆(1988—),男,博士,副教授,主要从事非常规油气地质及稀有气体地质方面的教学与研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:
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王雪莹(2001—),女,在读硕士研究生,主要从事非常规油气地质方面的研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:

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王雪莹(2001—),女,在读硕士研究生,主要从事非常规油气地质方面的研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:

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Petroleum Exploration and Development, 2021, 48(4): 700-709., articleTitle=Types of biogenic quartz and its coupling storage mechanism in organic-rich shales: A case study of the Upper Ordovician Wufeng Formation to Lower Silurian Longmaxi Formation in the Sichuan Basin, SW China, refAbstract=null), Reference(id=1322957357331906714, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, doi=null, pmid=null, pmcid=null, year=2022, volume=53, issue=9, pageStart=3590, pageEnd=3602, url=null, language=null, rfNumber=43, rfOrder=78, authorNames=纪文明, 朱孟凡, 宋岩, journalName=中南大学学报(自然科学版), refType=null, unstructuredReference=纪文明, 朱孟凡, 宋岩, 等. 南方海相页岩气赋存状态演化规律[J]. 中南大学学报(自然科学版), 2022, 53(9): 3590-3602., articleTitle=南方海相页岩气赋存状态演化规律, refAbstract=null), Reference(id=1322957357419987099, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, doi=null, pmid=null, pmcid=null, year=2022, volume=53, issue=9, pageStart=3590, pageEnd=3602, url=null, language=null, rfNumber=43, rfOrder=79, authorNames=JI Wenming, ZHU Mengfan, SONG Yan, journalName=Journal of Central South University (Science and Technology), refType=null, unstructuredReference=JI Wenming, ZHU Mengfan, SONG Yan, et al. Evolution characterization of marine shale gas occurrence state in South China[J]. 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articleId=1322957333923496908, companyId=1322957336616240113, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=7 中国石油青海油田分公司采气一厂,青海 格尔木 816000)])], figs=[ArticleFig(id=1322957341930422328, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.1, caption=Location of Luzhou block in southern Sichuan Basin and comprehensive stratigraphic column from Wufeng Formation to first member of Longmaxi Formation, figureFileSmall=m3Yvix1OwkCchSPrXLlOMQ==, figureFileBig=ns9Nu/YbFzwM66vMqJ3cdQ==, tableContent=null), ArticleFig(id=1322957343645892665, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图1, caption=四川盆地南部泸州区块位置及五峰组—龙一段地层综合柱状图, figureFileSmall=m3Yvix1OwkCchSPrXLlOMQ==, figureFileBig=ns9Nu/YbFzwM66vMqJ3cdQ==, tableContent=null), ArticleFig(id=1322957343838830650, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.2, caption=Shale reservoir facies classification of first section of first member of Longmaxi Formation in Luzhou block, southern Sichuan Basin, figureFileSmall=fkmfHpIaQMySw5BBnwA9Og==, figureFileBig=z5nrukTAn8zBXs8HOKBIMg==, tableContent=null), ArticleFig(id=1322957343952076859, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图2, caption=四川盆地南部泸州区块龙一1亚段页岩储集相划分, figureFileSmall=fkmfHpIaQMySw5BBnwA9Og==, figureFileBig=z5nrukTAn8zBXs8HOKBIMg==, tableContent=null), ArticleFig(id=1322957344027574332, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.3, caption=Types and characteristics of shale reservoir facies of first section of first member of Longmaxi Formation in Luzhou block, southern Sichuan Basin, figureFileSmall=03uvYYo441bthl3n+2Gxfw==, figureFileBig=jmU8HP9RfAWbdK3Ig1OILw==, tableContent=null), ArticleFig(id=1322957344136626237, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图3, caption=四川盆地南部泸州区块龙一1亚段页岩储集相类型与特征

注:a为OR-S,粒状黄铁矿零星分布,见三射海绵骨针,L203H153-8井,4 099.79~4 099.84 m,龙一14小层,单偏光;b为OR-S,见放射虫、海绵骨针横截面,L203H153-8井,4 108.90~4 108.95 m,龙一13小层;c为OR-S,晶间分布的有机质,见有机质孔隙,L203H153-8井,4 094.38~4 094.43 m,龙一14小层,单偏光;d为OR-S,团块状分布的有机质,见有机质孔隙,L203H153-8井,4 099.79~4 099.84 m,龙一14小层;e为OR-M,发育水平纹层,钙质纹层与深色富有机质纹层互层发育,L203H153-8井,4 063.31~4 063.36 m,龙一14小层,单偏光;f为OR-M,钙质纹层与深色富有机质纹层互层发育,见海绵骨针及圆形横截面,L203H153-8井,4 089.50~4 089.66 m,龙一14小层,单偏光;g为OR-M,见草莓状黄铁矿聚集,有机质呈填隙状分布,见有机质孔隙,L203H153-8井,4 054.35~4 054.40 m,龙一14小层;h为OR-M,有机质呈薄层状分布,微纳米自生石英嵌于有机质,见有机质孔隙,L203H153-8井,4 074.26~4 074.31 m,龙一14小层;i为OR-A,海绵骨针,Y101H41-2井,4 087.73~4 087.88 m,龙一14小层,单偏光;j为OR-A,沿纹层方向发育泥质透镜体,见骨针残片,发育水平成岩缝及收缩缝,Y101H41-2井,4 067.23~4 067.85 m,龙一14小层,单偏光;k为OR-A,有机质呈薄层状,可见纳米球粒结构,Y101H4-4井,4105.10~4105.23 m,龙一14小层;l为OR-A,笔石化石,Y101H4-4井,4 112.09~4 112.24 m,龙一14小层;m为OC-M,水平纹层发育,有机质呈针状、浸染状定向分布,L203H153-8井,4 051.42~4 051.47 m,龙一14小层,单偏光;n为OC-M,自形、半自形黄铁矿零星分布,L203H153-8井,4 052.39~4 052.44 m,龙一14小层,单偏光;o为OC-M,有机质呈填隙状分布,见有机质孔隙,L203H153-8井,4 064.29~4 064.34 m,龙一14小层;p为OC-M,有机质呈团块状分布,见有机质孔隙,L203H153-8井,4 064.29~4 064.34 m,龙一14小层。

, figureFileSmall=03uvYYo441bthl3n+2Gxfw==, figureFileBig=jmU8HP9RfAWbdK3Ig1OILw==, tableContent=null), ArticleFig(id=1322957344203735102, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.4, caption=Comprehensive stratigraphic column of reservoir facies for well L203H153-8 in Luzhou block, southern Sichuan Basin, figureFileSmall=EL2saDt2yJ+4z64og1M+NQ==, figureFileBig=MzpKkN477Vft9YM6s9TTwg==, tableContent=null), ArticleFig(id=1322957344279232575, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图4, caption=四川盆地南部泸州区块L203H153-8井储集相综合柱状图, figureFileSmall=EL2saDt2yJ+4z64og1M+NQ==, figureFileBig=MzpKkN477Vft9YM6s9TTwg==, tableContent=null), ArticleFig(id=1322957344346341440, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.5, caption=Southwest–northeast reservoir facies well correlation profile of first section of first member of Longmaxi Formation in Luzhou block, southern Sichuan Basin, figureFileSmall=1sRR3ibpG0Ap27H9pM2TRw==, figureFileBig=qKbGQUYj1KkW18R9oqhMWA==, tableContent=null), ArticleFig(id=1322957344417644609, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图5, caption=四川盆地南部泸州区块龙一1亚段南西—北东向储集相连井剖面, figureFileSmall=1sRR3ibpG0Ap27H9pM2TRw==, figureFileBig=qKbGQUYj1KkW18R9oqhMWA==, tableContent=null), ArticleFig(id=1322957344509919298, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.6, caption=Box plots of reservoir parameters for different reservoir facies of first section of first member of Longmaxi Formation in Luzhou block, southern Sichuan Basin, figureFileSmall=iKzzqgYNUd4hwI97bRA9lg==, figureFileBig=kQ1847oVCjtCcSWXqISfwQ==, tableContent=null), ArticleFig(id=1322957344581222467, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图6, caption=四川盆地南部泸州区块龙一1亚段不同储集相储层参数箱型图

注:箱型图展示了该参数在各储集相中的平均值。由于e-过成熟含有机质钙质页岩的含气量数据和7-半石墨化含有机质黏土质页岩的孔隙度与含气量数据缺失,故未在横坐标中显示。

, figureFileSmall=iKzzqgYNUd4hwI97bRA9lg==, figureFileBig=kQ1847oVCjtCcSWXqISfwQ==, tableContent=null), ArticleFig(id=1322957344639942724, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.7, caption=Cross plots of reservoir parameters for different reservoir facies of first section of first member of Longmaxi Formation in Luzhou block, southern Sichuan Basin, figureFileSmall=PKnHB5EKs6I3k65Ee033ag==, figureFileBig=5wke9FeS7VoyPeHi38yoBw==, tableContent=null), ArticleFig(id=1322957344719634501, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图7, caption=四川盆地南部泸州区块龙一1亚段不同储集相储层参数交会图, figureFileSmall=PKnHB5EKs6I3k65Ee033ag==, figureFileBig=5wke9FeS7VoyPeHi38yoBw==, tableContent=null), ArticleFig(id=1322957344790937670, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Fig.8, caption=Comparison of organic matter pore development characteristics in organic-rich siliceous shale samples from first section of first member of Longmaxi Formation in Luzhou block, southern Sichuan Basin, figureFileSmall=hpO/IWoRkUOgfa39LBXDmQ==, figureFileBig=6WJrWTAzbtJ5KPISAHP+4w==, tableContent=null), ArticleFig(id=1322957344874823751, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=图8, caption=四川盆地南部泸州区块龙一1亚段富有机质硅质页岩样品有机质孔隙发育特征对比

注:a为OR-S,见有机质,发育不规则孔隙,L203H153-8井,4 112 m,Ro=3.24%;b为OR-S,见有机质,有机质孔呈现大孔嵌套小孔,L203H153-8井,4 105.95 m,Ro=3.22%;c为OR-S,见有机质,发育蜂窝状孔隙,L203H153-8井,4 112 m,Ro=3.24%;d为SR-S,见有机质,发育孔隙,L203H57-3井,3 743.11m,Ro=3.38%;e为SR-S,有机质孔孔径较小,Y101H53-3井,4 096.94 m,Ro=3.43%;f为SR-S,见有机质,发育孤立孔隙,L203H57-3井,3 739.28 m,Ro=3.38%。

, figureFileSmall=hpO/IWoRkUOgfa39LBXDmQ==, figureFileBig=6WJrWTAzbtJ5KPISAHP+4w==, tableContent=null), ArticleFig(id=1322957344962904136, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Table 1, caption=Statistic results of thermal maturity data for first section of first member of Longmaxi Formation at different well locations in Luzhou block,southern Sichuan Basin, figureFileSmall=null, figureFileBig=null, tableContent=
井名层位样品数/个Ro区间/%Ro平均值/%热演化程度
L203H57-3龙一1亚段63.31~3.433.38半石墨化
L203H153-8133.16~3.273.22过成熟
Y101H3-8163.18~3.233.20过成熟
Y101H4-4143.16~3.223.18过成熟
Y101H41-2133.16~3.233.21过成熟
Y101H53-3173.32~3.413.37半石墨化
), ArticleFig(id=1322957345034207305, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=表1, caption=

四川盆地南部泸州区块各井位龙一1亚段热演化程度数据统计

, figureFileSmall=null, figureFileBig=null, tableContent=
井名层位样品数/个Ro区间/%Ro平均值/%热演化程度
L203H57-3龙一1亚段63.31~3.433.38半石墨化
L203H153-8133.16~3.273.22过成熟
Y101H3-8163.18~3.233.20过成熟
Y101H4-4143.16~3.223.18过成熟
Y101H41-2133.16~3.233.21过成熟
Y101H53-3173.32~3.413.37半石墨化
), ArticleFig(id=1322957345118093386, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=EN, label=Table 2, caption=IRF and optimization results for different reservoir facies of first section of first member of Longmaxi Formation in Luzhou block,southern Sichuan Basin, figureFileSmall=null, figureFileBig=null, tableContent=
储集相类型平均w(TOC)/%平均含气量/(m3/t)

平均孔隙度/

%

厚度比/

%

硅质矿物平均含量/%黏土矿物平均含量/%IRF评价结果
过成熟富有机质硅质页岩(OR-S)3.222.464.9823.4160.8226.0011.850 0Ⅰ
过成熟富有机质混合质页岩(OR-M)2.622.374.8636.1540.3138.018.875 7Ⅰ
半石墨化富有机质硅质页岩(SR-S)3.002.534.1113.5255.3931.538.520 8Ⅰ
过成熟富有机质钙质页岩(OR-C)3.713.254.800.8833.016.846.611 0Ⅱ
半石墨化含有机质硅质页岩(SC-S)1.682.023.691.3054.8035.905.469 3Ⅱ
半石墨化富有机质混合质页岩(SR-M)2.481.864.0310.8642.9439.634.822 4Ⅱ
过成熟含有机质硅质页岩(OC-S)1.471.954.000.3052.5839.164.522 6Ⅱ
过成熟含有机质混合质页岩(OC-M)1.632.114.702.9838.1539.022.856 6Ⅲ
半石墨化含有机质钙质页岩(SC-C)1.211.712.770.2427.8421.652.601 5Ⅲ
半石墨化含有机质混合质页岩(SC-M)1.432.013.860.8042.4042.262.562 4Ⅲ
半石墨化富有机质黏土质页岩(SR-A)2.291.393.502.2441.8851.191.563 5Ⅲ
过成熟含有机质黏土质页岩(OC-A)1.451.254.641.3639.3955.120.484 8Ⅲ
过成熟富有机质黏土质页岩(OR-A)2.542.065.062.9734.4057.340.106 2Ⅲ
过成熟贫有机质黏土质页岩(OP-A)0.780.783.570.6139.9958.46-0.377 4Ⅲ
半石墨化贫有机质黏土质页岩(SP-A)0.211.842.970.6631.6166.76-2.831 4Ⅲ
), ArticleFig(id=1322957345503969355, tenantId=1146029695717560320, journalId=1322258508890079423, articleId=1322957333923496908, language=CN, label=表2, caption=

四川盆地南部泸州区块龙一1亚段不同储集相优选指标(IRF)及优选结果

, figureFileSmall=null, figureFileBig=null, tableContent=
储集相类型平均w(TOC)/%平均含气量/(m3/t)

平均孔隙度/

%

厚度比/

%

硅质矿物平均含量/%黏土矿物平均含量/%IRF评价结果
过成熟富有机质硅质页岩(OR-S)3.222.464.9823.4160.8226.0011.850 0Ⅰ
过成熟富有机质混合质页岩(OR-M)2.622.374.8636.1540.3138.018.875 7Ⅰ
半石墨化富有机质硅质页岩(SR-S)3.002.534.1113.5255.3931.538.520 8Ⅰ
过成熟富有机质钙质页岩(OR-C)3.713.254.800.8833.016.846.611 0Ⅱ
半石墨化含有机质硅质页岩(SC-S)1.682.023.691.3054.8035.905.469 3Ⅱ
半石墨化富有机质混合质页岩(SR-M)2.481.864.0310.8642.9439.634.822 4Ⅱ
过成熟含有机质硅质页岩(OC-S)1.471.954.000.3052.5839.164.522 6Ⅱ
过成熟含有机质混合质页岩(OC-M)1.632.114.702.9838.1539.022.856 6Ⅲ
半石墨化含有机质钙质页岩(SC-C)1.211.712.770.2427.8421.652.601 5Ⅲ
半石墨化含有机质混合质页岩(SC-M)1.432.013.860.8042.4042.262.562 4Ⅲ
半石墨化富有机质黏土质页岩(SR-A)2.291.393.502.2441.8851.191.563 5Ⅲ
过成熟含有机质黏土质页岩(OC-A)1.451.254.641.3639.3955.120.484 8Ⅲ
过成熟富有机质黏土质页岩(OR-A)2.542.065.062.9734.4057.340.106 2Ⅲ
过成熟贫有机质黏土质页岩(OP-A)0.780.783.570.6139.9958.46-0.377 4Ⅲ
半石墨化贫有机质黏土质页岩(SP-A)0.211.842.970.6631.6166.76-2.831 4Ⅲ
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深层海相页岩储集相划分及优选——以川南地区泸州区块龙马溪组页岩为例
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王雪莹 1, 2 , 张昆 1, 2 , 姜振学 3, 4 , 宋岩 3, 4, 5 , 姜林 5 , 何鑫洋 1, 2 , 黎菁 6 , 陈雷 1, 2 , 吴帅材 1, 2 , 王媛媛 7
油气藏评价与开发 | 油气勘探 2026,16(2): 301-314
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油气藏评价与开发 |油气勘探 2026 , 16 (2) : 301 -314
深层海相页岩储集相划分及优选——以川南地区泸州区块龙马溪组页岩为例
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王雪莹(2001—),女,在读硕士研究生,主要从事非常规油气地质方面的研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:

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王雪莹(2001—),女,在读硕士研究生,主要从事非常规油气地质方面的研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:

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王雪莹1, 2 , 张昆1, 2, 姜振学3, 4, 宋岩3, 4, 5, 姜林5, 何鑫洋1, 2, 黎菁6, 陈雷1, 2, 吴帅材1, 2, 王媛媛7
作者信息
  • 1 西南石油大学油气藏地质及开发工程全国重点实验室,四川   成都 610500
  • 2 西南石油大学地球科学与技术学院,四川   成都 610500
  • 3 中国石油大学(北京)油气资源与工程全国重点实验室,北京 102249
  • 4 中国石油大学(北京)非常规油气科学技术研究院,北京 102249
  • 5 中国石油勘探开发研究院,北京 100083
  • 6 中国石油川庆钻探工程有限公司,四川   成都 610051
  • 7 中国石油青海油田分公司采气一厂,青海 格尔木 816000
通讯作者:
张昆(1988—),男,博士,副教授,主要从事非常规油气地质及稀有气体地质方面的教学与研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:
作者简介:

王雪莹(2001—),女,在读硕士研究生,主要从事非常规油气地质方面的研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:

Classification and optimization of deep marine shale reservoir facies: A case study of Longmaxi Formation shale in Luzhou block, southern Sichuan Basin
XUEYING WANG1, 2 , KUN ZHANG1, 2, ZHENXUE JIANG3, 4, YAN SONG3, 4, 5, LIN JIANG5, XINYANG HE1, 2, JING LI6, LEI CHEN1, 2, SHUAICAI WU1, 2, YUANYUAN WANG7
Affiliations
  • 1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • 2 School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • 3 State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing 102249, China
  • 4 Unconventional Petroleum Research Institute, China University of Petroleum (Beijing), Beijing 102249, China
  • 5 PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
  • 6 CNPC Chuanqing Drilling Engineering Company Limited, Chengdu, Sichuan 610051, China
  • 7 No.1 Gas Production Plant of PetroChina Qinghai Oilfield Company, Golmud, Qinghai 816000, China
出版时间: 2026-03-26 doi: 10.13809/j.cnki.cn32-1825/te.2024580
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泸州区块  /  龙马溪组  /  热演化程度  /  页岩储集相  /  储层特征
Luzhou block  /  Longmaxi Formation  /  thermal maturity  /  shale reservoir facies  /  reservoir characteristics
王雪莹, 张昆, 姜振学, 宋岩, 姜林, 何鑫洋, 黎菁, 陈雷, 吴帅材, 王媛媛. 深层海相页岩储集相划分及优选——以川南地区泸州区块龙马溪组页岩为例. 油气藏评价与开发, 2026 , 16 (2) : 301 -314 . DOI: 10.13809/j.cnki.cn32-1825/te.2024580
XUEYING WANG, KUN ZHANG, ZHENXUE JIANG, YAN SONG, LIN JIANG, XINYANG HE, JING LI, LEI CHEN, SHUAICAI WU, YUANYUAN WANG. Classification and optimization of deep marine shale reservoir facies: A case study of Longmaxi Formation shale in Luzhou block, southern Sichuan Basin[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (2) : 301 -314 . DOI: 10.13809/j.cnki.cn32-1825/te.2024580
四川盆地页岩气资源已实现高效开发,相继发现了涪陵、长宁、威远和威荣4个千亿立方米级大型页岩气田,标志着该区域已成为中国油气资源的重要战略接替领域[1-2]。作为页岩气的战略重地,四川盆地及其周缘地区向深层勘探推进是实现可持续发展的必要步骤[3-4]。
岩相指特定沉积条件下形成的岩石或岩石组合,其划分通常依据岩石颜色、粒度和矿物成分等特征[5-6]。岩相划分在中国南方地区的海相页岩气勘探与开发中得到了广泛应用。林伟等[6]以三大主量矿物之间的成分含量占比,针对川南龙马溪组龙一1亚段识别出包括硅质页岩、含黏土质页岩在内共6种岩相类型;胡宗全等[7]基于三大主量矿物含量确定无机岩相类型,结合总有机碳(TOC)含量进行有机相分级,最终划分出包括富有机质硅质页岩、高有机质含灰质硅质黏土质页岩等7种岩相类型;武瑾等[8]结合矿物组成、有机质含量和沉积构造,对泸州区块龙马溪组页岩识别出高TOC含泥硅质页岩相、高TOC硅泥混合页岩相等共6种岩相。尽管这些研究为海相页岩的岩相划分和储层评价提供了基础,但大多数方法仅考虑TOC含量和矿物成分,未充分考虑热演化程度对储层特征的影响。研究表明,随着热演化程度的增加,页岩孔隙度逐渐减小,过高的热演化程度会减小页岩的储集空间[9-10]。因此,传统岩相划分方法在应用于高热演化海相页岩时存在局限性,制约了深层页岩气勘探潜力的进一步挖掘。
以四川盆地南部泸州区块龙马溪组龙一1亚段页岩储层为研究对象,创新性地提出了一种结合热演化程度、有机质含量和矿物成分的储集相划分方法。该方法旨在系统地划分并对比不同储集相类型的储层特征,弥补现有划分方法考虑热演化影响方面的不足。通过灰色关联度分析,进一步优选出研究区的优势储集相类型,为深层页岩气储层开发潜力评估、优选有利勘探区块以及勘探开发决策提供了科学依据。
早寒武世时期,扬子板块和华夏板块处于拉张状态,发生了大规模的海侵事件,其后水体逐渐变浅,岩性由页岩转变为粉砂岩、砂岩等粗粒碎屑岩[11]。进入奥陶纪后,受到华夏板块挤压碰撞的影响,水体进一步变浅,沉积环境从碎屑岩体系转变为碳酸盐岩沉积体系。晚奥陶世—早志留世再次发生大规模海侵,导致沉积体系重新转变为碎屑岩体系,随着川中古隆起的扩展,海相沉积区向北东、东部和南东方向缩小[12]。而在四川盆地南部,较低能量的缺氧环境下沉积了一套较厚的富有机质黑色页岩[7]。五峰组—龙马溪组页岩的沉积与晚奥陶世—早志留世的全球海侵同时期[13](图1a)。
川南地区龙马溪组页岩广泛发育,前人基于野外地层露头观测、岩心描述及室内实验,将其沉积环境划分为深水陆棚、浅水陆棚等亚相,并强调深水陆棚是优质页岩形成的关键[14]。在龙马溪组沉积早期,快速海侵导致深水陆棚广泛发育,底部水体在缺氧环境下主要沉积黑色页岩;后期构造格局发生显著变化,水体逐渐变浅,沉积环境演变为浅水陆棚,形成灰黑色泥页岩[15]。其中,下志留统龙马溪组地层根据岩性变化、测井曲线变化、水体深度以及笔石等特征自下而上划分为龙一段、龙二段、龙三段[16];根据岩性和电性等特征,将龙一段自下而上分为龙一1亚段、龙一2亚段,而龙一1亚段自下而上可细分为龙一11小层、龙一12小层、龙一13小层、龙一14小层[17],其中龙一11至龙一13小层现今开发效果最好[18](图1b)。
研究采集研究区龙一1亚段共375块页岩岩心样品,样品以平均1.0~1.5 m的间隔采集后,依次完成磨制、鉴定和实验分析,包括TOC、Ro(镜质体反射率)、全岩黏土矿物X衍射及含气量测定等一系列配套实验。TOC含量测试采用Sievers 860型分析仪完成;有机质成熟度分析利用AxioScope.A1型偏光显微镜开展;矿物组成分析使用X’Pert3 Powder型设备进行;含气量测定通过YYHQ-Ⅲ自动测定仪及KY-1真空脱气装置完成。
前人研究表明,划分优势岩相有助于提高页岩气的勘探开发效率,并明确有利目标区,这一研究已在北美页岩中取得显著成果[10, 21-22]。目前,页岩岩相的划分主要基于TOC含量和矿物成分,但未充分考虑热演化程度对储层的影响。中国南方海相页岩的热演化程度较高,传统划分方法难以有效适用于此类高热演化页岩。储集相概念最初用于常规砂岩储层,旨在描述成岩作用和储集空间类型对储层性质的影响[23],提出“页岩储集相”概念,定义为在页岩储层中,由热演化程度、有机质含量和矿物成分共同作用形成的储集空间类型组合。
热演化程度对页岩有机质孔隙的形成具有重要影响。川南海相页岩热演化程度较高,Ro普遍超过3.0%(表1)。根据前人研究成果[24-25]并结合研究区页岩样品的热演化程度(3.16%~3.43%),将2.0%≤Ro<3.3%划分为“过成熟阶段”,3.3%≤Ro<3.5%划分为“半石墨化阶段”。有机质含量是评价页岩生烃能力的关键因素,较高有机质含量是页岩气生成的重要物质来源。多数学者认为,页岩中有机质含量至少应大于2.0%,才能有效促进烃类气体的吸附[26-27]。结合研究区页岩样品的有机质含量(0.16%~7.81%),将有机质含量在0~<1.0%划分为“贫有机质页岩”,1.0%~<2.0%为“含有机质页岩”,大于2.0%为“富有机质页岩”。此外,矿物成分的差异也会显著影响页岩孔隙结构。根据CHEN等[28]的划分方案,页岩可以根据矿物含量的不同划分为4类:硅质页岩、黏土质页岩、钙质页岩和混合质页岩。基于这3类参数的综合分析,把高热成熟度(Ro>2.0%)的页岩划分为24种储集相类型(图2)。
以泸州区块L203H57-3、L203H153-8、Y101H3-8、Y101H4-4、Y101H41-2、Y101H53-3井为例,研究了龙马溪组页岩储集相的类型及其特征。基于上述6口井的样品数据,对石英+长石、黏土矿物及碳酸盐矿物含量进行归一化处理,并投影至三端元图中,在研究区可识别出17种储集相类型(图2)。根据实际开发资料分析,L203H57-3井和Y101H53-3井已达到半石墨化阶段,且单井估算最终可采量(EUR)均较低,表明其储集性能及开发潜力受限。为聚焦更具代表性和开发潜力的储集相类型,重点对4种储集相进行详细描述:过成熟富有机质硅质页岩、过成熟富有机质混合质页岩、过成熟富有机质黏土质页岩、过成熟含有机质混合质页岩。
该储集相主要发育于龙一11至龙一13小层,其储集相厚度比(单种储集相累计厚度占龙一1亚段总储集相厚度的百分比)为23.41%。石英+长石平均含量为60.81%,黏土矿物平均含量为25.56%,碳酸盐矿物平均含量为13.63%,TOC含量介于2.01%~5.51%,平均值为3.22%。镜下观察显示,该储集相水平纹层发育,可见定向排列的碎屑颗粒,零星分布的粒状黄铁矿,以及海绵骨针和放射虫等生物化石,偶见玉髓充填的水平成岩缝(图3a—图3b)。扫描电镜(SEM)下有机质呈填隙状、条带状分布在颗粒间,并可见有机质孔隙(图3c—图3d)。
该储集相主要发育于龙一14小层,储集相厚度比为36.15%。石英+长石平均含量为40.90%,黏土矿物平均含量为39.24%,碳酸盐矿物平均含量为19.18%,TOC含量介于2.06%~5.94%,平均值为2.62%。水平纹层极发育,镜下见泥粉晶方解石、白云石及粉砂分散分布,钙质纹层与深色富有机质纹层互层发育。方解石、白云石交代粉砂颗粒,偶见双射硅质海绵骨针,水平成岩缝被有机质及伊利石全充填(图3e—图3f)。SEM下可见草莓状黄铁矿聚集,微纳米自生石英嵌于有机质中,有机质呈薄层状、填隙状分布,见有机质孔隙(图3g—图3h)。
该储集相主要发育于龙一14小层上部,储集相厚度比为2.97%。石英+长石平均含量为36.82%,黏土矿物平均含量为54.61%,碳酸盐矿物平均含量为8.57%,TOC含量介于2.00%~3.51%,平均值为2.54%。水平纹层较发育,镜下见有机质纹层与泥质纹层互层,泥质透镜体沿纹层方向发育,偶见海绵骨针及被玉髓或有机质全充填的水平成岩缝及收缩缝(图3i—图3j)。扫描电镜下可见泥质呈片状分布,同生伊利石微米级层理明显,有机质呈薄层状或充填于裂缝中,可见有机质的纳米球粒结构,笔石化石与泥质层面凹凸不平,总体上有机质孔隙相对较小(图3k—图3l)。
该储集相主要发育于龙一14小层上部,储集相厚度比为2.98%。石英+长石平均含量为36.96%,黏土矿物平均含量为45.95%,碳酸盐矿物平均含量为9.94%,TOC含量介于1.35%~1.88%,平均值为1.63%。水平纹层发育,镜下见有机质呈针状、浸染状定向分布,钙质纹层发育,黏土质透镜体顺层定向延伸,自形、半自形黄铁矿零星分布(图3m—图3n)。扫描电镜下见钙质及硅质晶粒,有机质呈条带状、团块状、填隙状分布,总体上有机质孔隙相对较小(图3o—图3p)。
在深水陆棚沉积环境中,随着水深增加和远离陆源区,石英含量上升,而碳酸盐矿物和黏土矿物的含量则降低[29],该段大量发育放射虫和海绵骨针(图3a、图3b、图3f、图3i、图3j),表明海平面上升及火山活动[30],导致了生物成因硅的富集,同时发育大量草莓状黄铁矿,反映沉积水体为还原环境,有利于有机质的富集和保存[31],总体上龙一1亚段经历了海平面先升高再降低,即沉积环境由还原转变为弱还原-氧化的特征。
龙一1亚段的页岩储集相从下至上呈现出从过成熟富有机质硅质页岩向过成熟富有机质混合质页岩的过渡趋势(图4)。在龙一11小层中,平均TOC为3.32%,有机质含量相对较低;硅质矿物含量较高,平均为60%,碳酸盐矿物含量次之,平均为35%,该小层主要发育过成熟富有机质硅质页岩和过成熟富有机质钙质页岩,发育频率(单种储集相累计厚度占各小层厚度的百分比)为67.95%和32.05%;相较于1小层,龙一12小层有机质含量高,平均TOC为5.15%;在矿物成分方面,硅质矿物含量保持相对稳定,碳酸盐矿物含量有所降低,平均为21%,而黏土矿物含量增加,平均为17%。该小层主要发育过成熟富有机质硅质页岩、过成熟富有机质混合质页岩和过成熟富有机质钙质页岩,发育频率分别为69.02%、21.87%和9.11%;龙一13小层平均TOC为4.62%,碳酸盐矿物含量进一步降低(平均为13%),黏土矿物含量增加至24%,主要发育过成熟富有机质硅质页岩;龙一14小层页岩有机质含量变化较大,平均TOC为2.51%;硅质矿物含量下降,平均为49%,而黏土矿物含量有所增加,平均为35%。该小层主要发育过成熟富有机质混合质页岩、过成熟富有机质硅质页岩、过成熟含有机质混合质页岩和过成熟含有机质钙质页岩4种储集相,发育频率分别为51.16%、39.01%、8.06%和1.77%。
依据施振生等[29]对泸州地区沉积微相划分方法,研究区南西部的L203H153-8井、中部的Y101H4-4井和Y101H3-8井位于深水斜坡,其中Y101H4-4井因靠近陆源碎屑供给区,黏土矿物含量相对较高;北东部的Y101H41-2井位于深水平原。结合沉积环境与储集相的发育特征,研究区龙一1亚段储集相的横向展布表现出强烈的非均质性和较差的连续性(图5)。龙一11小层沉积厚度较稳定,该沉积期海平面上升导致陆源输入减少,主要发育过成熟富有机质硅质页岩,南西部L203H153-8井则发育薄层过成熟富有机质钙质页岩。龙一12小层沉积厚度呈现由南西向北东逐渐变薄的趋势,储集相以过成熟富有机质硅质页岩为主,南西部L203H153-8井至Y101H4-4井发育薄层过成熟富有机质混合质页岩,北东部Y101H41-2井发育薄层过成熟富有机质钙质页岩。龙一13小层沉积厚度相对稳定,储集相仍以过成熟富有机质硅质页岩为主,中部Y101H4-4井发育薄层过成熟富有机质钙质页岩,而Y101H3-8井则发育较厚的过成熟富有机质混合质页岩。龙一14小层沉积厚度相对稳定,自南西向北东硅质矿物含量逐渐减少,主要发育过成熟富有机质混合质页岩和过成熟富有机质黏土质页岩,横向上TOC含量降低,夹薄层含有机质页岩。以上结果表明,沉积环境控制了储集相的分布特征,深水斜坡与深水平原的空间位置及古地理环境直接影响了储集相的类型和发育程度。
TOC含量直接影响页岩生烃潜力以及有机质孔隙的形成。研究表明,龙一1亚段的过成熟富有机质钙质页岩、过成熟富有机质硅质页岩和半石墨化富有机质硅质页岩的TOC含量较高,平均分别为3.71%、3.22%和3.00%(图6a、图6e),具有最佳的生烃潜力。过成熟富有机质混合质页岩、过成熟富有机质黏土质页岩、半石墨化富有机质混合质页岩和半石墨化富有机质黏土质页岩也表现出较高的有机碳富集性,平均TOC含量分别为2.62%、2.54%、2.48%和2.29%。相比之下,其余储集相的TOC含量较低,平均值介于0.21%~1.72%,有机碳富集性较差,对生烃潜力的贡献有限(图6a、图6e)。
研究区内的主要黏土矿物为伊利石和伊蒙混层,并含少量蒙脱石和绿泥石。有机质通常存在于黏土矿物的片晶间,但由于黏土矿物的抗压能力较弱,有机孔的发育受到限制。此外,黏土矿物的脱水作用也会影响储层的储集能力[32]。研究区龙一1亚段的过成熟富有机质黏土质页岩、过成熟含有机质黏土质页岩、过成熟贫有机质黏土质页岩,以及半石墨化富有机质黏土质页岩、半石墨化含有机质黏土质页岩、半石墨化贫有机质黏土质页岩的黏土矿物含量最高,平均值介于50.97%~66.76%(图6b、图6f);其余储集相的黏土矿物含量平均值介于6.84%~42.26%(图6b、图6f)。
与常规储层相比,页岩的致密性导致其孔隙度和渗透率显著低于常规储层,且主要以微米至纳米级孔隙为主,孔隙系统复杂[33]。采用柱塞样测得的孔隙度进行分析。过成熟富有机质钙质页岩、过成熟富有机质硅质页岩、过成熟富有机质混合质页岩和过成熟富有机质黏土质页岩孔隙度最高,平均分别为4.80%、4.98%、4.86%和5.06%。过成熟含有机质硅质页岩、过成熟含有机质混合质页岩、过成熟含有机质黏土质页岩及半石墨化富有机质硅质页岩、半石墨化富有机质混合质页岩孔隙度次之,平均分别为4.00%、4.70%、4.64%、4.11%和4.03%。孔隙度较低的储集相包括过成熟贫有机质黏土质页岩、半石墨化富有机质黏土质页岩、半石墨化含有机质硅质页岩、半石墨化含有机质混合质页岩,平均孔隙度介于3.50%~3.86%。过成熟含有机质钙质页岩、半石墨化含有机质钙质页岩和半石墨化贫有机质黏土质页岩的孔隙度最低,平均值均小于3.00%(图6c、图6g)。
含气量是评价页岩气开发潜力的关键储层参数之一[34-38]。研究区内过成熟富有机质钙质页岩、过成熟富有机质硅质页岩和半石墨化富有机质硅质页岩的含气量最高,平均值分别为3.25 m3/t、2.46 m3/t和2.37 m3/t。过成熟富有机质混合质页岩、过成熟富有机质黏土质页岩、过成熟含有机质混合质页岩、半石墨化含有机质硅质页岩、半石墨化含有机质混合质页岩的含气量次之,平均值介于2.01~2.37 m3/t;其余储集相的平均含气量均低于2.00 m3/t(图6d、图6h)。
页岩气储层的工业价值不仅取决于其有机质含量和热成熟度,还受到气体含量、岩石脆性以及黏土含量的显著影响[39]。通过综合这些评价标准,可有效筛选出具有开发潜力的页岩气储层,并为页岩储集相优选提供重要依据。对比过成熟页岩和半石墨化页岩的EUR值,发现过成熟页岩的EUR值为半石墨化页岩的1.6~3.1倍,初步表明其具有更高的储集潜力。基于研究区页岩储集相的特征,选取总有机碳含量(X1)、含气量(X2)、孔隙度(X3)、储集相厚度比(X4)、硅质矿物含量(X5)和黏土矿物含量(X6)6项关键参数,采用灰色关联度分析(Grey Relational Analysis)对储集相进行综合评价。灰色关联度分析是一种评估参考序列与比较序列间关系强度的辅助决策方法[40]。从相关性图中可以看出(图7),TOC、孔隙度与含气量之间呈正相关(图7a、图7b、图7e、图7f),这表明随着有机质含量和孔隙度的增加,页岩的含气量也相应增加。硅质矿物含量与含气量之间无显著关联(图7d、图7h),这可能意味着硅质矿物含量对页岩储层的含气能力影响较小。另一方面,黏土矿物含量与含气量之间呈负相关(图7c、图7g),说明黏土矿物的增加可能抑制页岩储层的储集能力。将总有机碳含量设为参考序列X0,其余5个指标为比较序列。由于过成熟含有机质钙质页岩缺少含气量数据、半石墨化含有机质黏土质页岩缺少含气量和孔隙度数据,故不参与优选。首先对所有指标进行归一化处理[41](表2),然后计算TOC与各比较序列之间的灰色关联度。关联度越接近1,表示该序列对参考序列的影响越显著,最终确定6个指标的权重系数[36],分别为0.223 1、0.168 7、0.160 1、0.158 4、0.158 3和0.131 4。
基于权重系数及各储集相储层参数的平均值,建立储集相优选指标(IRF):IRF=0.223 1×平均TOC含量+ 0.168 7×平均含气量+0.160 1×平均孔隙度+0.158 4×储集相厚度比+0.158 3×硅质矿物平均含量-0.131 4×黏土矿物平均含量。将IRF≥8的储集相定义为Ⅰ类储集相,IRF为4~8定义为Ⅱ类储集相,IRF<4的储集相定义为Ⅲ类储集相。评价结果显示,过成熟富有机质硅质页岩和过成熟富有机质混合质页岩为优势储集相。总体上,TOC高、Ro介于3.16%~3.24%、硅质矿物含量较高的页岩储层最好。
根据分析,过成熟富有机质硅质页岩为最优储集相,主要因其硅质矿物含量高,颗粒之间相互支撑,抗压实能力强,能有效保存孔隙[42]。为验证储集相划分方案的可行性,选取过成熟富有机质硅质页岩和半石墨化富有机质硅质页岩样品进行FIB-SEM观察实验。结果表明,两类储集相均发育有机质孔隙,其中,过成熟富有机质硅质页岩发育大量海绵状或蜂窝状的有机质孔,且可见大孔隙嵌套小孔隙,整体连通性较好(图8a—图8c),而半石墨化阶段的有机质孔隙孔径较小,主要以孤立形式存在(图8d—图8f)。这种差异是由于有机质在成熟至高成熟阶段(Ro<2%)生成原油和湿气时,形成原始有机质孔隙;随着热演化程度增加(Ro:2.0%~3.3%),有机质大量生成干气,孔隙数量增多,具有较好的圆度和连通性;当Ro超过3.3%时,有机质逐渐石墨化,孔隙数量减少,圆度和孔隙度下降,导致储集能力和连通性降低[43]。
1) 基于热演化程度、TOC含量及矿物成分的划分,川南地区龙一1亚段页岩可明确识别出17种储集相。其中,过成熟富有机质硅质页岩和过成熟富有机质混合质页岩是该区域主要发育的储集相类型。
2) 川南泸州地区龙一1亚段页岩储集相自下而上呈现出过成熟富有机质硅质页岩向过成熟富有机质混合质页岩的过渡趋势,TOC含量、硅质矿物含量和碳酸盐矿物含量逐渐降低,而黏土矿物含量逐渐增加。储集相的横向展布呈现出强烈的非均质性,连续性差。自南西至北东方向,硅质矿物含量递减,表现为从过成熟富有机质硅质页岩向过成熟富有机质混合质页岩和过成熟富有机质黏土质页岩过渡的特征。
3) 与以往研究相比,建立了更精细的储集相划分标准,并通过灰色关联度分析法细化了优势储集相的分级标准,突出了储集相特征对储层性质的综合影响。研究表明,OR-S具有较好的储层性质,具体表现为“热演化程度适中、TOC含量高、含气量高、孔隙度高、硅质矿物含量数高,储集相发育整体较厚”的特征,表明其在页岩气开发中具有较高的潜力。

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2026年第16卷第2期
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doi: 10.13809/j.cnki.cn32-1825/te.2024580
  • 接收时间:2024-12-25
  • 首发时间:2026-10-30
  • 出版时间:2026-03-26
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  • 收稿日期:2024-12-25
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    1 西南石油大学油气藏地质及开发工程全国重点实验室,四川   成都 610500
    2 西南石油大学地球科学与技术学院,四川   成都 610500
    3 中国石油大学(北京)油气资源与工程全国重点实验室,北京 102249
    4 中国石油大学(北京)非常规油气科学技术研究院,北京 102249
    5 中国石油勘探开发研究院,北京 100083
    6 中国石油川庆钻探工程有限公司,四川   成都 610051
    7 中国石油青海油田分公司采气一厂,青海 格尔木 816000

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张昆(1988—),男,博士,副教授,主要从事非常规油气地质及稀有气体地质方面的教学与研究。地址:四川省成都市新都区新都大道8号,邮政编码:610500。E-mail:
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2种不同金属材料的力学参数
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属数
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genus
种数
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species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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