榆树林油田葡萄花油层沉积特征与油气富集规律研究
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摘要
为指导榆树林油田葡萄花油层下一步勘探与开发,首先在前人研究成果的基础上运用高分辨率层序地层学的原理和方法将研究区葡萄花油层划分为3个三级层序和6个体系域;然后结合岩心、测井、录井等资料建立各沉积微相的测井相模式,以此识别每口井各个体系域的沉积微相,并在井震相结合的基础上指导绘制各体系域沉积微相平面图;其次充分利用已有的岩性、物性及地震解释资料在沉积相的约束下进行大范围、大尺度的储层物性建模,试探性预测储层物性;最后总结油气富集规律。在研究中得到以下认识:(1)储层物性建模显示孔隙度、渗透率的高值区大致由北向南呈不连续的条带状分布,对预测有利钻探目标具有一定的指导作用;(2)油气主要分布于葡萄花油层的中下部,在凹陷边缘多为油水同层,在斜坡带多显示为油层,在构造高点则显示为差油层,油藏类型以岩性上倾尖灭油气藏和断块遮挡油气藏为主;(3)断层具有输导和封闭油气的双重作用,对油气成藏至关重要,断层在活动期主要表现为垂向输导作用,在静止期主要表现为侧向封闭性;(4)油气运移路线是由凹陷中心向东北方向运移,受尚家鼻状构造和尚南小隆起的影响,运移路线在树115附近分为南北两支,分别向尚家鼻状构造和尚南小隆起内充注;(5)对研究区葡萄花油层预测两个有利区:①树12断块进行扩边钻探;②树105以西断块空白区预测。
In order to guide the exploration and development of Putaohua reservoir in Yushulin oilfield, firstly divide it into there third-order sequences and six system tracts with high resolution sequence stratigraphy base on research findings of predecessor; secondly integrate core, wireline logging and mud logging data to install logging facies model of each microfacies, use them to identify microfacies in six system tracts of every well, and drafting map of sedimentary microfacies of each system tracts base on combining well and seismic data; and then make full use of lithology, physical properties and seismic interpretation to install macroscopy and large scale physical property model of reservoir, and to predict reservoir properties; lastly summarize oil-gas accumulation regulation. In the study derive several conclusions by the following. (1) Physical property model of reservoir shows that the high value block of porosity and permeability are noncontinuous zonal distribution nearly from north to south. It plays a guiding role to forecast drilling target. (2)Oil and gas is mainly distributed in the mid-lower of Putaohua formation. It is mainly oil-water layers in the sag edge, mainly oil layers in slope zone, and mainly poor oil layers in high construction. Up pinch-out reservoir and fault shelter reservoir are the main reservoir type. (3)Fault can transport oil and gas, but also seal them. It is essential for hydrocarbon accumulation. Fault is mainly expressed the role of vertical translocation when it is in active stage, but lateral seal in resting stage. (4)The hydrocarbon migration route is from the sag center to northeast direction. Because of the effect of Shangjia nose-like structure and small Shangnan uplift, the hydrocarbon migration route divides into north and south direction near Tree-115 well, separately migration into the two high construction. (5)Predict two favorable areas in Putaohua formation in the study area.
In order to guide the exploration and development of Putaohua reservoir in Yushulin oilfield, firstly divide it into there third-order sequences and six system tracts with high resolution sequence stratigraphy base on research findings of predecessor; secondly integrate core, wireline logging and mud logging data to install logging facies model of each microfacies, use them to identify microfacies in six system tracts of every well, and drafting map of sedimentary microfacies of each system tracts base on combining well and seismic data; and then make full use of lithology, physical properties and seismic interpretation to install macroscopy and large scale physical property model of reservoir, and to predict reservoir properties; lastly summarize oil-gas accumulation regulation. In the study derive several conclusions by the following. (1) Physical property model of reservoir shows that the high value block of porosity and permeability are noncontinuous zonal distribution nearly from north to south. It plays a guiding role to forecast drilling target. (2)Oil and gas is mainly distributed in the mid-lower of Putaohua formation. It is mainly oil-water layers in the sag edge, mainly oil layers in slope zone, and mainly poor oil layers in high construction. Up pinch-out reservoir and fault shelter reservoir are the main reservoir type. (3)Fault can transport oil and gas, but also seal them. It is essential for hydrocarbon accumulation. Fault is mainly expressed the role of vertical translocation when it is in active stage, but lateral seal in resting stage. (4)The hydrocarbon migration route is from the sag center to northeast direction. Because of the effect of Shangjia nose-like structure and small Shangnan uplift, the hydrocarbon migration route divides into north and south direction near Tree-115 well, separately migration into the two high construction. (5)Predict two favorable areas in Putaohua formation in the study area.
引文
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[19]赵爽,李仲东,许红梅.分频解释技术及其在陆相砂岩地层地震勘探中的应用分析[J].矿物岩石,2006,26(2):106-110.
[20]朱庆荣,张越迁,于兴河等.分频解释技术在表征储层中的运用[J].矿物岩石,2003,23(3):104-108.
[21]杨春林.用油藏地球物理方法对伊朗沙拉克斯地区白垩系SHURJJEH组含气段沉积、储层和气藏的研究[D].石油大学(北京),2001.
[22] Yang C.T, et al. Integrated Geostatistical Reservoir Description Using Petrophysical, Geological and Seismic Data for Yacheng 13-1 Gas Field[J]. SPE 30566,the 1995 SPE Annual Technical Conference and Exhibition.Dallas,22-25 October.
[23] Doyen P.M., et al. Reconciling Data at Seismic and Well Log Scales in 3D Earth Modeling. SPE 38698, the 1997 SPE Annual Technical Conference and Exhibition, San Antonio, TX, 5-8 October.
[24]吴胜和,金振奎等.储层建模[M].北京:石油工业出版社,1999.
[25]雷启鸿等.油藏描述中的随机模拟方法[J].西安石油学院学报(自然科学版).2000,15(1):13-16.
[26]张团峰,王家华.油气储层随机模拟的地质应用[M].数学地质5.北京:地质出版社,1994.
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[28]裘怿楠.储层地质模型[J].石油学报,1991,12(4):55-62.
[29] Deutsch C.V., et al. Geostatistical Reservoir Modeling Accounting for Precision and Scale of Seismic Data. SPE 36497,the 1996 SPE Annual Technical Conference and Exhibition, Denver, Colorrado, 6-9 October.
[30]陈亮,熊琦华.相控参数场随机模拟技术在井间储层参数预测中的应用[M].数学地质8.北京:地质出版社,1997.
[31] Rogers S.J. Predicting Permeability from Porosity Using Artificial Neural Networks. AAPG 1995(79) 12 1786-1797.
[32]黄传炎,王华,肖敦清等.板桥凹陷断裂陡坡带沙一段层序样式和沉积体系特征及其成藏模式研究[J].沉积学报,2007,25(3):386-391.
[33]付广,薛永超,付晓飞.油气运移输导体系及其对成藏的控制[J].新疆石油地质,2000,22(1):24-26.
[34]付广,杨丰平,孟庆芬,等.松辽盆地北部油气垂向运移及对成藏与分布的控制[J].海洋石油,2004,24(3):14-20.
[35]张照录,王华,杨红.含油气盆地的输导体系研究[J].石油与天然气地质,2000,21(2):133-135.
[36]谢泰佼.琼东南盆地天然气输导体系及成藏模式[J].勘探家,2000,5(1):17-21.
[37]龚再生,杨甲明.油气成藏动力学及油气运移模型[J].中国海上油气(地质),1999,13(4):235-239.
[2]邓宏文,王洪亮,李小孟.高分辨率层序地层对比在河流相中的应用[J].石油与天然气地质,1997,18(2):90-95.
[3]郑荣才.四川盆地下侏罗统大安塞段高分辨率层序地层学特征[J].沉积学报,1998,16(2):42-49.
[4]杜春艳,郑荣才.陕北长6油层组短期基准面旋回与储层非均质性的关系[J].成都理工学院学报,1999,26(1):17-22.
[5]郑荣才,吴朝荣.辽河油田西部凹陷深层沙河街组生储盖组合的层序分析[J].成都理工学院学报,1999,26(4):348-356.
[6]吴朝荣,郑荣才.辽河油田西部洼陷沙河街组高分辨率层序地层学特征[J].成都理工学院学报,1999,26(4):375-381.
[7]柳梅青,陈亦军,郑荣才.川西新场气田蓬莱镇组三角洲沉积体系高分辨率层序地层学研究[J].沉积学报,2000,18(1):50-56.
[8]尹太举.高分辨率层序地层学及其在濮城油田开发中的应用[D].博士学位论文.北京:中国地质大学(北京),2002,8-20.
[9]王居峰,蔡希源,邓宏文.东营凹陷中央洼陷带沙三段高分辨率层序地层与岩性圈闭特征[J].石油大学学报(自然科学版),2004,28(4):7-11.
[10]易定红,田光荣.杏树岗-太平屯地区扶杨油层层序地层研究[J].新疆石油地质,2004,25(6):607-609.
[11]邓宏文,王洪亮,阎伟鹏等.河流相层序地层构成模式探讨[J].沉积学报,2004,22(3):373-379.
[12]王志章等.现代油藏描述技术[M].石油工业出版社,1999.
[13] A.G.Joumel, et al. Focusing on Spatial Connectivity of Extreme-valued Attributes: Stochastic Indicator Modeles of Reservoir Heterogeneities,1988,SPE 18324.
[14]李兴国等.陆相储层沉积微相与微型构造[M].石油工业出版社,2000.
[15]穆龙新,贾爱林,陈亮等.储层精细研究方法——国内外露头储层和现代沉积及精细地质建模研究[M].北京:石油工业出版社,2000.
[16]朱仕车,黄继祥.微地震相分析在沉积相中的应用[J].西南石油学院报,1995,17(4):4-9.
[17]谢继客.Stratimagic地震相分析技术在公山庙区块油气勘探中的应用[J].天然气勘探与开发,2001,24(3):22-28.
[18]庄锡进,靳军,支东明.Stratimagic软件在准噶尔盆地地震勘探中的应用[J].新疆石油地质,2002,23(3):245-247.
[19]赵爽,李仲东,许红梅.分频解释技术及其在陆相砂岩地层地震勘探中的应用分析[J].矿物岩石,2006,26(2):106-110.
[20]朱庆荣,张越迁,于兴河等.分频解释技术在表征储层中的运用[J].矿物岩石,2003,23(3):104-108.
[21]杨春林.用油藏地球物理方法对伊朗沙拉克斯地区白垩系SHURJJEH组含气段沉积、储层和气藏的研究[D].石油大学(北京),2001.
[22] Yang C.T, et al. Integrated Geostatistical Reservoir Description Using Petrophysical, Geological and Seismic Data for Yacheng 13-1 Gas Field[J]. SPE 30566,the 1995 SPE Annual Technical Conference and Exhibition.Dallas,22-25 October.
[23] Doyen P.M., et al. Reconciling Data at Seismic and Well Log Scales in 3D Earth Modeling. SPE 38698, the 1997 SPE Annual Technical Conference and Exhibition, San Antonio, TX, 5-8 October.
[24]吴胜和,金振奎等.储层建模[M].北京:石油工业出版社,1999.
[25]雷启鸿等.油藏描述中的随机模拟方法[J].西安石油学院学报(自然科学版).2000,15(1):13-16.
[26]张团峰,王家华.油气储层随机模拟的地质应用[M].数学地质5.北京:地质出版社,1994.
[27] Vande Graafe W.J.E. and Ealeg P.T. Geological Modeling for Simulation Studies. AAPG,1989(73) 11 1436-1444.
[28]裘怿楠.储层地质模型[J].石油学报,1991,12(4):55-62.
[29] Deutsch C.V., et al. Geostatistical Reservoir Modeling Accounting for Precision and Scale of Seismic Data. SPE 36497,the 1996 SPE Annual Technical Conference and Exhibition, Denver, Colorrado, 6-9 October.
[30]陈亮,熊琦华.相控参数场随机模拟技术在井间储层参数预测中的应用[M].数学地质8.北京:地质出版社,1997.
[31] Rogers S.J. Predicting Permeability from Porosity Using Artificial Neural Networks. AAPG 1995(79) 12 1786-1797.
[32]黄传炎,王华,肖敦清等.板桥凹陷断裂陡坡带沙一段层序样式和沉积体系特征及其成藏模式研究[J].沉积学报,2007,25(3):386-391.
[33]付广,薛永超,付晓飞.油气运移输导体系及其对成藏的控制[J].新疆石油地质,2000,22(1):24-26.
[34]付广,杨丰平,孟庆芬,等.松辽盆地北部油气垂向运移及对成藏与分布的控制[J].海洋石油,2004,24(3):14-20.
[35]张照录,王华,杨红.含油气盆地的输导体系研究[J].石油与天然气地质,2000,21(2):133-135.
[36]谢泰佼.琼东南盆地天然气输导体系及成藏模式[J].勘探家,2000,5(1):17-21.
[37]龚再生,杨甲明.油气成藏动力学及油气运移模型[J].中国海上油气(地质),1999,13(4):235-239.