用户名: 密码: 验证码:
松辽盆地古龙北地区葡萄花油层储层研究及预测评价
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
葡萄花油层是松辽盆地古龙北地区的主要含油气层,但由于断层分布密集,砂泥岩薄互层储层,砂岩分布及油水分布关系复杂,为油藏评价带来很大困难,在一定程度上制约了油气勘探,开发的进展。因此本论文结合勘探开发的需要,开展关于葡萄花油层的储层综合研究及预测评价。
     本论文在对古龙北地区葡萄花油层等时格架控制的小层划分对比的基础上,以岩心观察和测井资料为依据,对重点探井进行单井沉积微相分析,建立典型相标志与相层序,建立古龙北地区葡萄花油层典型沉积微相模式。全面分析葡萄花油层的沉积相特征,搞清物源方向、砂体形态、沉积微相展布特征。
     综合利用己有钻井、测井、测试和分析化验资料对工区葡萄花油层进行岩石物理特征、储层物性与含油性关系进行研究,研究该区薄互层储层预测方法,在地震稀疏脉冲反演的基础上,采用随机反演,结合岩性模拟,孔隙度模拟,电阻率模拟的方法,查明各砂组及单砂体的分布规律,定量或半定量预测重点地区和有利储集层的展布。
     通过油水分布主控因素分析及油藏类型研究,提出油气富集因素及油水分布规律。本论文得到以下认识及结论:
     在对该区葡萄花油层进行三分砂层组,八分小层的对比划分基础上,根据沉积相识别标志,选取具有典型特征的井段建立岩—电—相转换模型,葡萄花油层沉积微相类型主要为:水下分流河道、河口坝、远砂坝、分流间湾、席状砂,古龙北地区主要为三角洲-湖泊沉积体系。该项研究为工区的储层分布预测及物性变化、油气藏类型以及油水分布的研究打下良好的基础。
     建立了该地区薄互层储层预测有效方法及技术流程,认为可采用随机反演,结合岩性模拟,孔隙度模拟,电阻率模拟的方法,定量或半定量预测有利区块有利储层及油层的分布。
     深入分析独立油藏的空间分布,认为油气藏纵向上的油、水层间互频繁,但遵循高油低水的重力差异聚集规律,而平面上则反映为典型的层状边水油藏特征。
     古龙北地区油藏类型及分布与砂体的展布和构造背景配置密切相关,不同物源砂体及同一砂体的不同沉积相带导致储层物性的变化,是形成岩性油气藏的主要条件。多物源,不同相带及不同的构造部位影响着油藏的分布。斜坡区主要发育断块岩性油藏和砂岩上倾尖灭型构造岩性油藏;向斜区主要发育水下分流河道被断层截切的断层岩性油藏和砂岩透镜体油藏。
     研究区储层属低孔、低渗储层,加之构造带的地层倾角相对平缓,油水分异差,形成较高含水饱和度油藏,又因压裂改造产生的垂直缝沟通油层附近的水层,这些是导致古龙北地区油藏油水同出井、层比例较高的直接原因。
The Putaohua oil layer is a dominate hydrocarbon zone in the north of Gulong area of Song-liao basin. But the evaluation,exploration and development to Putaohua reservoir were restricted because of the complicated geological conditions (include fault distribution , thin sand shale interbedding and complicated sandstone distribution)and the complicated oil-water distribution. This paper was about the prediction ,evaluation and comprehensive study on Putaohua oil layer meeting the needs of exploration and development .
     Identification marks and sequence of sedimentary facies and model of micro-faces sedimentation were built in this paper, based on the stratigraphy correlation and thin layer division and contrast to the north of Gulong area.
     This paper also had an overall analysis to the sedimentation system,facies characteristics, source direction, the sand body reservoir distribution and distributing feature of micro-facies .
     Comprehensively utilizing cores, logging, well logging and analysis assay data, this paper studied the petrologic characteristics, reservoir property and the relation between reservoir property and oil-bearing characteristics of Putaohua oil layer. This paper studied prediction method for the thin interbeds of sandstone and mud stone. Based on the reservoir simulation, stochastic simulation, lithologic simulation and porosity simulation, this paper revealed single sand body’s distribution, determined and quantitatively calculated the single sand body’boundary of important regions and favorable reservoirs.
     Base on the studies on the controlling factors and resrvoir types,this paper put forward main hydrocarbon enrichment factors and oil-water distribution laws.
     Understanding and conclusions:
     The paper determined the stratigraphic contrast scheme of the top and bottom of Putaohua oil lay. Three small layers were divided to the north of Gulong area and eight small layers were divided to the oil domain and their surround area.
     Based on the cores, analysis assay data and logging, according to the identification marks of sedimentary facies, this paper established rock-logging-facies transformation model from the typical interval. The sedimentation system of the north of Gulong area is delta-lacustrine depositional system. There are 5 kinds of micro-facies in total: underwater distributary channel, river mouth bars, far bars, inter branch channel and shore-shallow lacustrine sediments, deep and semi-deep lake facies. This study lays a good foundation for the study on the reservoir prediction,physical property changes and reservoir types and distribution.
     This paper determined reservoir prediction method and technical process of thin sand and shale interbedding in the north of Gulong area. The reservoir prediction can be done by the process of the stochastic simulation, lithologic simulation and porosity simulation. Determine and quantitatively calculated the favorable reservoirs’boundary of important region.
     Based on the deep analysis of plane and vertical distribution of single reservoir,this paper determines that although oil and water interlayer frequently on vertical formation, oil–gas aggregation follows the regulation of differential gravity action which the oil distributed above the water. The plane reflects the characteristics of edge water drive reservoir.
     The reservoir types and distribution closely relates to the sand distribution and the structure background. The main conditions forming lithologic reservoir closely relates to the property change of the sand from different source and the sand from different sedimentary faces. Multiple sources and different structures influence the distribution of Putaohua oil layer. Fault block-lithologic reservoir and structure -lithologic reservoir ( sand layer up thinning out) develop in slope area. Sand lens reservoirs and lithologic reservoirs which the underwater distributary channel sand cut by fault develop in syncline area.
     Low Porosity and low permeability reservoir, relatively flat structure background lead to worse oil-water differentiation and high water cut reservoir. The direct reason of large proportion wells of commingled production of oil and water is that the vertical fractures made by the fracturing treatment communicate the water lays near the oil lays.
引文
[1]马启贵,刘应怀,等.国外岩性-地层圈闭油气藏勘探新方法.国外油气勘探,1994,6(1):119~120
    [2]李大荣,隐蔽油气藏勘探现状、进展及布井方法,石油知识,2001,(3):10~12
    [3]王英民,刘豪,等.准噶尔盆地侏罗系非构造圈闭的勘探前景.石油勘探与开发,2002,29(1):44~46
    [4]蒙启安,黄薇,林铁峰,等.松辽盆地北部岩性油藏形成条件与分布规律.中国石油勘探2004,9(4):6~8
    [5]李春光,渤海湾盆地的隐蔽油气勘探,复式油气田,2000,(2):1~5
    [6] Noah J.T.. NMO stretch and subtle traps, Leading Edge, 1996, 15(5):345~347
    [7] Hilterman F·J..Detection of hydrocarbons with lithostratigraphy. S L 2.3. 66th Ann. Int. SEG Mtg.1996,11(10)
    [8] Underhill J. R. Successful application of sequence stratigraphy in subtle reservoir prediction, Advances in reservoir technology: 1997,(02):20
    [9] Henry M.. Prospecting for subtle stratigraphic traps with 3-D seismic and well information: examples form the Lewis Formation, Red Desert basin.Wyoming, AAPG Bull. 1999, 83(7) :183-187
    [10] Meeriam D. F.. Subtle and not so subtle anticlinal structures in the Salina basin, north-central Kansas.1999, 83(7):1202-1208
    [11]张应波,张一东,等.岩性预测新技术及其应用.中国海上油气(地质),2000,142:138~144
    [12]张运东.国外隐蔽油气藏和低渗透储层识别预测技术现状及发展趋势.中国石油天然气集团公司石油经济和信息研究中心,2001:3~55
    [13]马瑾环等译,利用子波与连井对比寻找隐蔽性地层圈闭.Geophysics,1998,(2):18~21
    [14]许丽译.通过地球物理和地质技术加强成熟区的综合勘探.国外石油地质,1998,(2):5~8
    [15]任俞译.依据地震资料发现与圈定非背斜圈闭.石油部情报所,1987:12~25
    [16]叶德胜,周棣康,等.沉积相研究的回顾与展望.海相沉积区油气地质1989,3(2):37~29
    [17]中国地质学会沉积地质专业委员会.中国沉积学若干领域的回顾与展望.沉积学报, 2003, 21(1): 1~8
    [18]刘宝珺.中国沉积学的回顾和展望.矿物岩石,2001(3):1~5
    [19]吴崇筠,薛叔浩,等.中国含油气盆地沉积学.北京:石油工业出版社,1992,155~201
    [20]姜在兴,操应长,等.砂体层序地层及沉积学研究.北京:地质出版社,2000
    [21]吴崇筠,薛叔浩,等.中国含油气盆地沉积学.北京:石油工业出版社,1992
    [22] Van Wagoner J C. An overview of the fundamentals of sequence stratigraphy and key definition. In: Wilgus C K,ed. Sea-level changes: An Integrated Approuch. SEPM. Spec. Publ. 1988,42: 39-45
    [23] Van Wagoner J C. et al . Siliciclastic sequence stratigraphy in well logs,cores,and outcrops. AAPG methods in exploration series, 1990(7)
    [24] Galloway, W.E.. Genetic stratigraphic sequences in basin analysis I: Architecture and genesis of flooding-surface bounded depositional units.American Association of Petroleum Geologists Bulletin, 1989, 73:125-142
    [25]姜在兴,等.层序地层学原理及应用.北京:石油工业出版社,1996
    [26]邓宏文,王红亮,祝永军,等.高分辨率层序地层学-原理及应用.北京:地质出版社,2002
    [27]徐怀大,等译.层序地层学原理(海平面变化综合分析).北京:石油工业出版社,1993
    [28]顾家裕,等.层序地层学及其在油气勘探开发中的应用论文集.北京:石油工业出版社,1997
    [29]操应长,等.陆相断陷湖盆层序地层单元的划分及界面识别标志.石油大学学报,1996,20(4):6~10
    [30]操应长,姜在兴.高分辨率层序地层学在陆相断块油气田开发中的应用.层序地层学论文集.北京:石油工业出版社,1997
    [31]池英柳.可容空间概念在陆相断陷盆地层序分析中的应用.沉积学报,1996,16(4):7~11
    [32]池英柳.陆相断陷盆地层序成因初探.石油学报,1996,17(3):19~26
    [33]郭建华,等.陆相断陷湖盆T-R旋回沉积层序与研究实例.沉积学报,1998,16(1):8~14
    [34] Posamentier H W, Allen G P, James D P and Tesson M. Forced regressions in a sequence stratigraphic franework: concepts,examples and exploration significance. AAPG Bulletin, 1992,76:1687-1709
    [35] Jerver M.T.. Quantitative geological modeling of siliciclastic rock sequence and their seismic expression[J]. In: Vail P.R. et al eds. Sea Level Changes: An Integrated Approach, SEPM Special Publication . 1988,42,:47-70
    [36]邓宏文.美国层序地层研究中的新学派——高分辨率层序地层学.石油与天然气地质,1995,16(2):89~97
    [37] Cross T A ,Lessenger M A . Sediment Volume Partitioning : Rationale for Stratigraphic Model Evaluation and High–Resolution Stratigraphic Correlation. Accepred for publication in Norwegian Petroleums–Forening Conference Volume , July . 1996.1-24
    [38]樊太亮,吕延仓,丁明华.层序地层体制中的陆相储层发育规律.地学前缘,2000,7(4):315-321
    [39]梅志超,林晋炎.湖泊三角洲的地层模式和骨架砂体的特征.沉积学报, 1991,9 (4) :1-9
    [40]姚光庆,马正,赵彦超,等.浅水三角洲分流河道砂体储层特征.石油学报, 1995.16(1):24-31
    [41] Jiang Zaixing , Cao Yingchang , Chang Lin.Application of high-resolution sequence stratigraphy to precise lacustrine reservoir correlations with an example from Linpan Oilfield.沉积学报,1997,16(2):34-41
    [42] Jiang Zaixing, Yingchang Cao,Yingxia Xu,Xilong Gao,Stratigraphic traps and hydrocarbon occurrence in a lacustrine sequence stratigraphic framework:an example from shoreline area of Shenli Oilfield.AAPG Bulletin,,1993,84(9)
    [43] Dickinson, W. R. Plate tectonics and sedimentation. Tectonics and sedimentation. SEPM Spec. 1974, 527:22
    [44] Grahau Evans.Stratigraphic Sequences and Their chronostratigraphic Correlation. Journal of Sedimentary Petrology.1991,61(4) ,497-505
    [45] D.S. Hamilton et al.Utility of Coal Seams as Genetic Stratigraphic Sequence Boundaries in Nonmarine Basins:An Example from the Gunnedah Basin,Australia. AAPG.1994,78(8)
    [46] Cross, T.A. and Homewood, P.W..Amanz Gressly’s Role in Founding Modern Stratigraphy. Geological Society of American Bulletin.1997 ,109: 1617-1630.
    [47] F.I. Chiocci.Very high-resolution seismics as a Tool for Sequence Stratigraphy Applied to Outcrop,Scale:Examples from Eastern Tyrrhenian Margin Holoeene pleistocenice Deposits.AAPG,1994, 78(3)
    [48] S. Creaney el at.Recurring Patterns of Total Organic Carbon and Source RockQuality Within a Sequence Stratigraphic Framework.AAPG,1993,77
    [49] G.C.Nadon, J.A.Simo, R.H.Dott. et al. . High-resolution sequence stratigraphic analysis of the St. Peter sandstone and Glenwood Formation (Middle Ordovician), Michigan Basin. AAPG, 2000,975-996
    [50]王贵文,郭荣坤.测井地质学.北京:石油工业出版社,2000,112~128
    [51]赵政璋,赵贤正,王英民,等.储层地震预测理论与实践,北京:科学出版社,2005
    [52]熊翥.我国物探技术的进步及展望.石油地球物理勘探,2005,(1):123~125
    [53]张一伟,等.陆相油藏描述技术,北京:石油工业出版社,1997
    [54]毛凤鸣,周方喜,梁兵,等.复杂小断块油藏储层综合评价配套技术与应用.北京:石油工业出版社,2002
    [55]刘宪斌,林金逞,韩春明,等.地震储层研究的现状及展望.地学前缘,2002(1):73~75
    [56]杨文采.神经网络算法在地球物理反演中的应用.石油物探,1995(2):116~119
    [57]刘雯林.油气田开发地震技术.北京:石油工业出版社,1996
    [58]沈华,尹微,等.提高砂岩油藏储层预测精度的方法.大庆石油地质与开发,2005(3):24~26
    [59]黄绪德.反褶积与地震道反演.北京:石油工业出版社,1992
    [60]魏艳,尹成,丁峰,等.地震多属性综合分析技术研究与应用.中国地球物理学会第22届年会论文集, 2006
    [61]李玉民.波阻抗多约束反演.石油物探,1994,33(1): 37~39
    [62]徐仲达.地震岩性模拟中的多解性问题.石油物探,1995,34(3) :32~36
    [63]张春雷,熊琦华,等.随机模拟技术在油田勘探阶段油藏描述中的应用.石油大学学报(自然科学版) , 2001,(01):59~61
    [64]吴胜和,张一伟,等.提高储层随机建模精度的地质约束原则.石油大学学报(自然科学版) , 2001,(01):55~58
    [65]胡建.地震波属性可靠性研究.黑龙江:大庆石油学院硕士研究生学位论文,2004
    [66]张建林,吴胜和,武军昌,等.应用随机模拟方法预测岩性圈闭.石油勘探与开发, 2003,(03):114~117
    [67]张应波,张一东.岩性预测新技术及其应用.中国海上油气(地质),2000,14(2):138~144
    [68]师永民.高分辨率砂泥岩薄互层储层综合预测技术.石油地球物理勘探,2000(4):44~48
    [69]黄真萍,王晓华等.薄层地震属性参数分析和厚度预测.石油物探,1997
    [70]袁子龙,杨斌,等.薄层、薄互层地震反射时间域与频率域正演模拟研究及应用.石油物探,1996
    [71]林金逞,邓宏文,田世澄.应用深度域高分辨率地震反演识别低渗透薄互层储层研究.地学前缘, 2001(04):264~268
    [72]刘金平,侯亚彬.叠前地震属性在薄互层储层预测中的应用.天然气工业,2007,27(增刊A):262~264
    [73]陈守田,孟完禄.薄互层储层预测方法.石油物探,2004,43(1):33~36
    [74]杨凤丽,印兴耀,吴国忱.埕岛油田河流相储层地震描述方法.石油学报,1999(4):24~27
    [75]冯德永,韩宏伟.济阳坳陷上第三系河流相薄砂体油藏描述方法.胜利油田职工大学学报,2003(3):22~26
    [76]张巧凤,王余庆,等.松辽盆地薄互层河道砂岩地震预测技术.岩性油气藏,200791):92~96
    [77]关达,张卫红.提高地震资料解释薄层能力的途径.勘探地球物理进展,2002(2):19~22
    [78] Lippmann R P.An introduction to computing with neural nets.IEEE ASSP,April,1987,3(4)
    [79]康德权,黄德利,高兴友,姚榛榛.大庆薄层复杂岩性储层地震预测.中国石油勘探, 2001,(02):40-43
    [80]崔凤林,张向君,王世清.松辽盆地北部薄互层复杂构造的精细刻画方法与应用.地球科学-中国地质大学学报, 2005,(04):503-505
    [81]李琼,贺振华.地震高分辨率非线性反演在薄互储层识别中的应用.成都理工大学学报(自然科学版), 2004,(06):708~710
    [82]陈守田,孟宪禄.薄互层储层预测方法.石油物探,2004,43(1):33~36
    [83]梁海龙,姜岩,齐春艳.分层解释性反演技术在薄互层砂体预测中的应用.石油物探,2004,43(4):410~414
    [84]撒利明,曹正林.提高储层预测精度技术思路与对策.大庆石油地质与开发,2002(6):6~9
    [85]何琰,张引来,吴念胜.基于随机分形模拟与Seislog技术预测薄(互)层砂体.西南石油学院学报,2005(02)
    [86]王庆国,师永民,梅启太.大庆长垣南部葡萄花油层储层预测技术与应用.大庆石油地质与开发,2000(04):8~10
    [87]张喜强,李彦强,叶明标,等.多井测井约束反演薄互层储集体技术研究.大庆石油地质与开发.2004(03):87~89
    [88]罗士利;罗中华;黄景秋.随机反演技术在薄互层储层预测中的应用吉林大学学报(地球科学版)
    [89]李琼,贺振华.地震高分辨率非线性反演在薄互储层识别中的应用.成都理工大学学报(自然科学版), 2004,(06):708~710
    [90]陈守田,孟宪禄.薄互层储层预测方法.石油物探,2004(01):33~35
    [91]慎国强,孟宪军,王玉梅,等.随机地震反演方法及其在埕北35井区的应用.石油地球物理勘探, 2004,(01):75~77
    [92]刘铁立,侯高文.利用地震高分辨率非线性反演识别薄互储层.特种油气藏, 2005,(04):19~21
    [93]陈殿远.随机地震反演技术在WC13-1油田随机地质建模中的应用.中国海上油气, 2004,(04).
    [94] Sérgio Sacani Sancevero, Armando Zaupa Remacre, Evaldo Cesário Mundim, Rodrigo de SouzaPortugal.应用随机反演改善储层表征的过程(英文).地学前缘, 2008,(01):187~195
    [95]康德权等,大庆薄层复杂岩性储层地震预测,中国石油勘探,2001,2 :40~42
    [96]陈树民等,松辽盆地北部储层预测技术发展历程及岩性油藏地震识别技术,大庆石油地质与开发,2004,23(10):103~105
    [97] Seuret S,Gilbert A.Pointwise H?lder exponent estimation in data network traffic.International Teletraffic Congress Workshop,Monterey,Canada:2000
    [98] Levy Vehel J,Lutton E. Evolutionary signal enhancement based on.H?lder regularity analysis.EVOLASP,Lake Como,Italy:Springer Verlag,2001
    [80] Herrmann F J.Singularity characterization by monoscal eanalysis:Application to seismic imaging.Appl. Comput. Harmon ,2001
    [99] Mallat S,HwangW_L.Singularity detection and processing with wavelets.IEEE Transactions on Information Theory,1992.
    [100] Lyons W J,Herrmann F J,Grotzinger J.Singularity analysis:a tool for extracting lithologic and Stratigraphic content from seismic data.71st Ann.Internat Mtg.,Soc. Expl. Geophys.Expanded Abstracts,2001.
    [101] Busch, D.A.. Prospecting for stratigraphic traps. American Association of Petroleum Geologists Bulletin, 1959,43:2829-2843
    [102]王建功,王天琦.大型坳陷湖盆浅水三角洲沉积模式——以松辽盆地北部葡萄花油层为例.岩性油气藏, 2007,19(02)
    [103]许建红,程林松,马丽丽.松辽盆地北部英台-大安地区葡萄花油层油气分布规律.大庆石油地质与开发,2006(06)
    [104]田在艺,等.油气圈闭类型与勘探方法.田在艺石油地质论文选集,北京:石油工业出社,1997
    [105]潘运林等编,中国隐蔽油气藏.北京:地质出版社,1998
    [106]胡见义,徐树宝等.非构造油气藏.北京:石油出版社,1998
    [107]赵重远主编.石油地质学进展.北京:地质出版社,1998
    [108]中国石油学会石油地质委员会.中国油气藏研究.北京:石油工业出版社,1990
    [109]颜其彬.我国非构造油气藏的类型及特征.西南石油学院学报,1987,9(3):1~9
    [110]丁正青.金湖凹陷隐蔽圈闭勘探现状及难点分析.江苏石油物探:1999,(4):19~22
    [111]沈守文,彭大均.试论隐蔽油气藏的分类及勘探思路.石油学报,2000,21(1):16~19
    [112]曾荣.非构造油气藏分类评述.复式油气藏,1998,2 :50~53

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700