准噶尔盆地东部梧桐沟组岩性圈闭预测和油藏分布规律
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摘要
采用层序地层学、测井约束反演以及地震属性优选等方法,对准噶尔盆地东部Q区块梧桐沟组低位域水下扇体进行储集层和圈闭识别,进而利用预测的含油饱和度检测油藏范围。Q区块上二叠统梧桐沟组可分为低位体系域、湖侵体系域和高位体系域。其中低位体系域的水下扇扇中辫状水道是储集层最发育位置。随着湖平面反复升降,尤其是湖侵体系域沉积泥岩的封盖作用,使得原水道沉积砂体被泥岩所包围,后又经过构造抬升,形成上倾尖灭的岩性圈闭。结合测井约束反演综合识别出储集层和岩性圈闭的位置,利用遗传算法和神经网络联合优选法进行地震属性优化,结果表明含油气饱和度最优区位于研究区西部、西南部,其中以西南部储集层更好、含油气性最佳。
This paper identifies the reservoirs and traps in the submarine fan of Wutonggou formation in Q block in the eastern Junggar basin by means of stratigraphy,log-constrained inversion and seismic attributions optimization,and then detects the reservoir scopes using predicted oil saturation.The Wutonggou formation of Upper Permian in Q block can be divided into three parts: Lowstand systems tract,transgressive systems tract and highstand systems tract,among which the sand body of Lowstand systems tract is the target of this research.The braided channel in the middle fan is the best reservoir.The original sandstone was sealed by mudstone in transgressive systems tract.Therefore,updip pinchout lithologic traps were formed with tectonic uplifting.The positions of reservoirs and lithologic traps are ascertained by using the log-constrained inversion.After the seismic attributes optimizing based on genetic algorithm-neuron network optimization,the result shows that the areas of high oil saturation are located in the west and the southwest in this region,of which the southwest reservoir is much better in quality and petroliferous property than the west.
This paper identifies the reservoirs and traps in the submarine fan of Wutonggou formation in Q block in the eastern Junggar basin by means of stratigraphy,log-constrained inversion and seismic attributions optimization,and then detects the reservoir scopes using predicted oil saturation.The Wutonggou formation of Upper Permian in Q block can be divided into three parts: Lowstand systems tract,transgressive systems tract and highstand systems tract,among which the sand body of Lowstand systems tract is the target of this research.The braided channel in the middle fan is the best reservoir.The original sandstone was sealed by mudstone in transgressive systems tract.Therefore,updip pinchout lithologic traps were formed with tectonic uplifting.The positions of reservoirs and lithologic traps are ascertained by using the log-constrained inversion.After the seismic attributes optimizing based on genetic algorithm-neuron network optimization,the result shows that the areas of high oil saturation are located in the west and the southwest in this region,of which the southwest reservoir is much better in quality and petroliferous property than the west.
引文
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[2]高喜龙,孙希瑞,李顺玲,等.测井约束反演在埕岛油田储层预测中的应用[J].石油地球物理勘探,2001,36(3):334-337.
[3]印兴耀,周静毅.地震属性优化方法综述[J].石油地球物理勘探,2005,40(4):482-488.
[4]季敏,王尚旭,陈双全.地震属性优选在油田开发中的应用[J].石油地球物理勘探,2006,41(2):183-187.
[5]季玉新,欧钦.优选地震属性预测储层参数方法及应用研究[J].石油地球物理勘探,2003,38:57-62.
[6]宋维琪,刘江华,王小马,等.预测油气的地震属性优化组合、灰关联分析技术[J].石油勘探与开发,2002,29(5):34-36.
[7]尉晓玮,郑晓东,李艳东,等.优选地震属性预测生物礁储集层[J].新疆石油地质,2009,30(2):221-224.
[8]曾波,吴雨韩,瞿建华,等.应用地震多属性识别非构造圈闭———以克201井区为例[J].新疆石油地质,2010,31(2):197-199.
[9]张洪波,王纬,顾汉明.高精度地震属性储层预测技术研究[J].天然气工业,2005,25(7):35-37.
[10]王小平,曹立明.遗传算法理论、应用与软件实现[M].西安:西安交通大学出版社,2003.
[11]田继东,尹成,徐峰.GA-ANN综合优化地震属性的应用研究[J].西南石油学院学报,2006,28(4):1-4.
[12]黄捍东,赵迪,张如伟,等.基于灰关联和遗传算法的地震属性优化方法[J].石油地球物理勘探,2010,45(3):381-383.
[13]刘希玉.人工神经网络与微粒群优化[M].北京:北京邮电大学,2008.
[14]玄光南,程润伟.遗传算法与工程设计[M].北京:科学出版社,2000.
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