白豹油田长8储层评价及建产有利区筛选
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摘要
白豹油田是长庆油田近年来重点开发区块之一,位于陕西省吴旗县白豹乡和甘肃省华池县乔河乡境内,始探于上世纪70年代,自2002年以来,主要针对延长组地层进行勘探和评价,在长3、长4+5、长6、长8和长9各油层均获得突破。本次研究在综合地质、测井、实验、生产等资料的基础上,通过测井曲线元、储层综合特征、生产数据等的研究,利用曲线元方法进行沉积相自动识别,聚类分析判别方法确定储层类型,产能系数法、有效厚度与含油饱和度乘积法进行产能预测,最终预测有利成藏区域,得到以下结论：
(1)根据地质资料,研究区长8储层划分为长81和长82两个小层,发育三角洲前缘亚相,物源方向为北东,其中长81层水下分流河道为主力储层；
(2)研究区长8层的岩石类型为岩屑长石砂岩,填隙物含量较低,砂岩分选较好,磨圆度以次棱角状为主,孔喉较细,分选性好,最大连通的孔隙喉道集中程度较高,根据储层特征,利用聚类分析判别方法将储层分为四类,其中一类和二类储层为主力储层；
(3)综合利用试油和生产动态信息,提取与产能相关的多种地质参数,分别与试油产量、生产产量进行相关性分析,发现该区储层产能的主要控制因素为有效厚度和含油饱和度,采用产能系数法、有效厚度与含油饱和度乘积法预测试采产量效果较好；
(4)预测有利区5个,其中一类有利区1个,二类有利区3个,三类有利区1个,共计预测面积37.8km2,预测储量1640.9万吨,建议部署评价井5口。为白豹油田2011年滚动开发提供地质依据。
BaiBao oilfield is is one of the focus of development blocks in Changqing Oilfield, located between Wu Qi in Shanxi and Huan Chi in Gansu, covered by an area of BaiBao in Wu Qi and QiaoHe in Huan Chi.Began to explore in the 70s of last century, putted into production in the 90's, explored and evaluated for YanChang formation mainly since 2002.Have received an important breakthrough In the Chang3,Chang 4+5,Chang 6,Chang 8 and Chang 9 formation. This paper based on geological, logging, experiment, production and other dates, through the researching of logging curve element, reservoir comprehensive characteristic, production data, using curve method for sedimentary faces automatic recognition and cluster analysis to determine reservoir type identification method, capacity coefficient method, effective thickness and oil saturation method of productivity prediction, final evaluation productivity gets the following conclusion:
(1) According to the geological data, the study area Chang 8 reservoir is divided into Chang 81 and Chang 82, growth delta-front sedimentary second faces, the Sediment source direction for NE, main reservoir located in Chang 81 layer for underwater distributary channel sedimentary microfaces zone;
(2) Study area Chang 8 reservoir's rock types is Clastic feldspar sandstone, low content of interstitial material, sandstone Sorting characteristics is better, degree of rounding is mostly successively edges shape, smaller pore throat, good sorting, The maximum pore throat way connectivity's Concentration degree is higher, using cluster method to determine the reservoir, divided it into four kinds, ClassⅠandⅡreservoir is the better reservoir;
(3) By comprehensive utilization of oil testing and production information, collecting a variety of geological parameters which were related to production, made the relevant analysis with the oil testing and production information. Found that main controlling factors of the reservoir production capacity is the effective thickness and oil saturation, and then use production capacity parameters, the effective thickness and oil saturation method to predict the production, and achieved good results;
(4) Pointed out 5 potential areas, including 1 best potential areas,3 better potential areas and 1 good potential, totaling prediction area 37.8 km2, predict reserves 1640.9 tons. Suggest deployment 5 evaluation Wells. Provide geologic foundation for scrolling development in BaiBao oilfield in 2011.
(1)根据地质资料,研究区长8储层划分为长81和长82两个小层,发育三角洲前缘亚相,物源方向为北东,其中长81层水下分流河道为主力储层；
(2)研究区长8层的岩石类型为岩屑长石砂岩,填隙物含量较低,砂岩分选较好,磨圆度以次棱角状为主,孔喉较细,分选性好,最大连通的孔隙喉道集中程度较高,根据储层特征,利用聚类分析判别方法将储层分为四类,其中一类和二类储层为主力储层；
(3)综合利用试油和生产动态信息,提取与产能相关的多种地质参数,分别与试油产量、生产产量进行相关性分析,发现该区储层产能的主要控制因素为有效厚度和含油饱和度,采用产能系数法、有效厚度与含油饱和度乘积法预测试采产量效果较好；
(4)预测有利区5个,其中一类有利区1个,二类有利区3个,三类有利区1个,共计预测面积37.8km2,预测储量1640.9万吨,建议部署评价井5口。为白豹油田2011年滚动开发提供地质依据。
BaiBao oilfield is is one of the focus of development blocks in Changqing Oilfield, located between Wu Qi in Shanxi and Huan Chi in Gansu, covered by an area of BaiBao in Wu Qi and QiaoHe in Huan Chi.Began to explore in the 70s of last century, putted into production in the 90's, explored and evaluated for YanChang formation mainly since 2002.Have received an important breakthrough In the Chang3,Chang 4+5,Chang 6,Chang 8 and Chang 9 formation. This paper based on geological, logging, experiment, production and other dates, through the researching of logging curve element, reservoir comprehensive characteristic, production data, using curve method for sedimentary faces automatic recognition and cluster analysis to determine reservoir type identification method, capacity coefficient method, effective thickness and oil saturation method of productivity prediction, final evaluation productivity gets the following conclusion:
(1) According to the geological data, the study area Chang 8 reservoir is divided into Chang 81 and Chang 82, growth delta-front sedimentary second faces, the Sediment source direction for NE, main reservoir located in Chang 81 layer for underwater distributary channel sedimentary microfaces zone;
(2) Study area Chang 8 reservoir's rock types is Clastic feldspar sandstone, low content of interstitial material, sandstone Sorting characteristics is better, degree of rounding is mostly successively edges shape, smaller pore throat, good sorting, The maximum pore throat way connectivity's Concentration degree is higher, using cluster method to determine the reservoir, divided it into four kinds, ClassⅠandⅡreservoir is the better reservoir;
(3) By comprehensive utilization of oil testing and production information, collecting a variety of geological parameters which were related to production, made the relevant analysis with the oil testing and production information. Found that main controlling factors of the reservoir production capacity is the effective thickness and oil saturation, and then use production capacity parameters, the effective thickness and oil saturation method to predict the production, and achieved good results;
(4) Pointed out 5 potential areas, including 1 best potential areas,3 better potential areas and 1 good potential, totaling prediction area 37.8 km2, predict reserves 1640.9 tons. Suggest deployment 5 evaluation Wells. Provide geologic foundation for scrolling development in BaiBao oilfield in 2011.
引文
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[20]刘小洪,罗静兰,郭彦如,等.鄂尔多斯盆地陕北地区上三叠统延长组长6油层组的成岩相与储层分布[J].地质通报,2008,27(5)：627～630
[21]张金亮,梁杰,杜桂林,等.安塞油田长2油层成岩作用及其对储层物性的影响[J],西北地质,2004,37(4)：51-56
[22]韩会平.鄂尔多斯盆地大路沟地区三叠系延长组长6储层特征及有利区带预测[D].长安大学,2005
[23]汪新光.陕甘宁盆地姬源地区长2油层组沉积相特征研究[J],内蒙古石油化工,2007,3：183～184
[24]王治华.靖边油田长2储层四性关系研究[J].石油与天然气地质,2006,(17)：27～28
[25]周锋德,姚光庆,王国昌.Elman神经网络在低渗储层敏感性预测中的应用[J].地质科技情报,2007,26(6)：91-94
[26]郭艳琴,李文厚,等.安塞油田上三叠统延长组长6油藏储集因素[D],西北大学学报(自然科学版).2006,36(4)：639-642
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[29]代金友,张一伟,等.成岩作用对储集层物性贡献比率研究[J].石油勘探与开发,2003,30(4)：54-55
[30]高辉,孙卫,宋广寿,等.鄂尔多斯盆地合水地区长8储层特低渗透成因分析与评价[J].地质科技情报,2008,27(5)：71～74
[31]张伟东,李晓锋,贾国龙.白豹油田长3、长4+5低渗透储层定量分类评价研究[J].科技导报,2008,26(21)：61～65
[32]樊继宗.聚类分析法在油藏分类中的应用[J].内蒙古石油化工,2003,29(3)：124～126
[33]高建华.测井储层产能预测方法研究[D].成都理工大学,2002
[34]喻建,韩永林,凌升阶,等.鄂尔多斯盆地三叠系延长组油藏成藏地质特征及油藏类型[J].中国石油勘探,2001,4(6)：4
[35]刘丽.许庄油田有利成藏条件及潜力区块分析[J].石油与天然气学报,2008,30(2)：437～438
[36]郭少斌,杜佳,等.鄂尔多斯盆地三叠系延长组长2油层组次生孔隙控制因素及有利区预测[J].石油天然气学报,2006,28(4)：236-238.
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[2]杨志成,刘月田,陈方园,等.改进的聚类法在水平井产能预测中的应用[J].石油地质与工程,2009,23(5)：60～63
[3]邓秀芹,蔺昉晓,刘显阳,等.鄂尔多斯盆地三叠系延长组沉积演化及其与早印支运动关系的探讨[J].古地理学报,2008,10(2)：159～166
[4]刘自亮,王多云,王峰,等.陕甘宁盆地西峰油田主要产层储油砂体沉积微相组合及特征[J].沉积学报,2005,23(2)：60-63：248-253
[5]付锁堂,邓秀芹,庞锦莲.晚三叠世鄂尔多斯盆地湖盆沉积中心厚层砂体特征及形成机制分析[J].沉积学报,2010,28(6)：1081～1089
[6]赵为永,朋卫云.乌南油田小层对比分析研究[J].青海油田,2009,27(2)：13～15
[7]龚承林,王英民,官宝聪.典型被动大陆边缘深水盆地构造演化与层序地层学分析[J].沉积学报,2010,28(3)：419～425
[8]陈新领,牟中海,马里宁,等.砂西构造N1—-N12油藏小层划分与对比[J].西南石油学院学报,2004,26(2)：07～10
[9]陈全红,李文厚,高永祥,等.鄂尔多斯盆地上三叠统延长组深湖沉积与油气聚集意义[J].中国科学,2007,37(1)：39～48
[10]刘红歧,彭仕宓,夏宏泉,等.测井曲线元数学特性及沉积微相定量识别[J].中国海上油气,2004,16(6)：382～386
[11]纪荣艺,樊洪海,杨雄文,等.测井曲线自动分层模型设计与实现[J].石油钻探技术,2007,35(2)：24～27
[12]邓瑞,孟凡顺.利用测井曲线精细分层识别沉积微相的方法研究[J].测井技术,2010,34(6)：554～558
[13]唐洪.综合利用测井资料划分河流沉积微相[J].中国海上油气(地质)1998,12(5)：349～352
[14]王德玉,郑庆林,冯兴强,等.优势相分析在白家海一五彩湾地区苍房沟 群沉积相分析中的应用[J].沉积与特提斯地质,2005,25(3)：83～93
[15]赵虹.安塞油田上三叠统延长组高分辨率层序地层学特征及储层研究[D].西北大学,2004
[16]张娜.鄂尔多斯盆地定边县姬塬油田延9和长2油层组油藏特征研究[D].西北大学,2007
[17]文玲,胡书毅,田海芹.靖安油田延长组长6段低孔低渗透储层特征及评价[J].西北地质,2001,34(4)：53～60
[18]王琪,糕喜准.鄂尔多斯西部长6砂岩成岩演化与优质储层[J].石油学报,2005,26(5)：18～23
[19]郭艳琴,王起琼,庞军刚,等.安塞油田长2、长3浅油层成岩作用及孔隙结构特征[J],西北大学学报(自然科学版),2005,37(3)：444-447
[20]刘小洪,罗静兰,郭彦如,等.鄂尔多斯盆地陕北地区上三叠统延长组长6油层组的成岩相与储层分布[J].地质通报,2008,27(5)：627～630
[21]张金亮,梁杰,杜桂林,等.安塞油田长2油层成岩作用及其对储层物性的影响[J],西北地质,2004,37(4)：51-56
[22]韩会平.鄂尔多斯盆地大路沟地区三叠系延长组长6储层特征及有利区带预测[D].长安大学,2005
[23]汪新光.陕甘宁盆地姬源地区长2油层组沉积相特征研究[J],内蒙古石油化工,2007,3：183～184
[24]王治华.靖边油田长2储层四性关系研究[J].石油与天然气地质,2006,(17)：27～28
[25]周锋德,姚光庆,王国昌.Elman神经网络在低渗储层敏感性预测中的应用[J].地质科技情报,2007,26(6)：91-94
[26]郭艳琴,李文厚,等.安塞油田上三叠统延长组长6油藏储集因素[D],西北大学学报(自然科学版).2006,36(4)：639-642
[27]孙卫,何娟.姬塬延安组储层水驱油效率及影响因素[J].石油与天然气地质,1999,20(1)：26-29
[28]张学文,尹家宏.低渗透砂岩油藏油水相对渗透率曲线特征[J].特种油气藏,1999,6(2)：27-30
[29]代金友,张一伟,等.成岩作用对储集层物性贡献比率研究[J].石油勘探与开发,2003,30(4)：54-55
[30]高辉,孙卫,宋广寿,等.鄂尔多斯盆地合水地区长8储层特低渗透成因分析与评价[J].地质科技情报,2008,27(5)：71～74
[31]张伟东,李晓锋,贾国龙.白豹油田长3、长4+5低渗透储层定量分类评价研究[J].科技导报,2008,26(21)：61～65
[32]樊继宗.聚类分析法在油藏分类中的应用[J].内蒙古石油化工,2003,29(3)：124～126
[33]高建华.测井储层产能预测方法研究[D].成都理工大学,2002
[34]喻建,韩永林,凌升阶,等.鄂尔多斯盆地三叠系延长组油藏成藏地质特征及油藏类型[J].中国石油勘探,2001,4(6)：4
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