川东北通南巴构造带飞仙关组鲕滩储层预测
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摘要
川东北通南巴构造带位于造山带前陆,强烈的构造活动导致其结构和构造非常复杂,储层特征难以确定。针对这一问题,在对通南巴构造带飞仙关组鲕滩储层的测井响应特征和地震响应特征进行分析的基础上,建立了该区飞仙关组鲕滩储层正演模型;基于正演模拟结果,提取了20多种地震属性,并对其敏感性逐一进行分析,优选出瞬时相位、瞬时振幅、瞬时频率、相干及波形等多种对鲕滩储层比较敏感的属性,从而预测了飞仙关组鲕滩储层分布特征。其中,河坝场构造为Ⅰ类鲕滩储层,马路背构造和狮子坪构造为Ⅱ类鲕滩储层,而母家梁构造和黑池梁构造为Ⅲ类。这套鲕滩储层预测技术方法的应用,有效地提高了研究区储层预测的精度。
Tongnanba structural belt develops at orogen foreland in Northeast Sichuan province,strong structural activities leads to complex structures,so the reservoir features are difficult to be identified. Aiming at the problem,based on the characteristic analysis of log response and seismic response of reservoir,we proposed forward model of Feixianguan formation oolitic beach reservoir by using seismic attribute analysis technology.According to the modeling results, more than twenty kinds of seismic attributes are extracted. The attributes most sensitive on oolitic beach reservoir,such as instantaneous phase,instantaneous amplitude,instantaneous frequency, coherency and wave shape,has been optimized to predict the distribution characteristics of oolite beach reservoir at Feixianguan formation.The results show that typeⅠ(the best) oolite beach reservoir develops at Hebachang structure,typeⅡ(the middle) oolite beach reservoir develops at Malubei and Shiziping structure, and typeⅢ(the worst) oolite beach reservoir develops at Mujialiang and Heichiliang structure.This series of oolite beach reservoir prediction technologies effectively improves the prediction accuracy of reservoirs at the area.
Tongnanba structural belt develops at orogen foreland in Northeast Sichuan province,strong structural activities leads to complex structures,so the reservoir features are difficult to be identified. Aiming at the problem,based on the characteristic analysis of log response and seismic response of reservoir,we proposed forward model of Feixianguan formation oolitic beach reservoir by using seismic attribute analysis technology.According to the modeling results, more than twenty kinds of seismic attributes are extracted. The attributes most sensitive on oolitic beach reservoir,such as instantaneous phase,instantaneous amplitude,instantaneous frequency, coherency and wave shape,has been optimized to predict the distribution characteristics of oolite beach reservoir at Feixianguan formation.The results show that typeⅠ(the best) oolite beach reservoir develops at Hebachang structure,typeⅡ(the middle) oolite beach reservoir develops at Malubei and Shiziping structure, and typeⅢ(the worst) oolite beach reservoir develops at Mujialiang and Heichiliang structure.This series of oolite beach reservoir prediction technologies effectively improves the prediction accuracy of reservoirs at the area.
引文
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16邓传伟,李莉华,金银姬,等.波形分类技术在储层沉积微相预测中的应用[J].石油物探,2008,47 (3):262-265
17王晓平,陈波,臧殿光,等.地震相分析技术在伊通地堑储层沉积特征分析中的应用[J].石油物探,2008,47 (2):172-178
2马永生,蔡勋育,李国雄.四川盆地普光大型气藏基本特征及成藏富集规律[J].地质学报,2005b,79(6): 858-865
3马永生,郭彤楼,付孝悦,等.中国南方海相石油地质特??征及勘探潜力[J].海相油气地质,2002,7(3):19-27
4敬朋贵.川东北地区礁滩相储层预测技术与应用[J].石油物探,2007,46(4):363-369
5姚姚,奚先.随机介质模型正演模拟及其波场分析[J].石油物探,2002,41(1):31-36
6张永刚.地震波场数值模拟方法[J].石油物探,2003, 42(2):143-148
7 Alistair R B.Seismic attributes and their classification [J].The Leading Edge,1996,15(10):1090
8 Quincy C,Steve S.Seismic attributes technology for reservoir forecasting and monitoring[J].The Leading Edge,1997,16(5):445-456
9刘文岭,牛彦良,李刚,等.多信息储层预测地震属性提取与有效性分析方法[J].石油物探,2002,41(1): 100-106
10谢东,王永刚,乐友喜,等.地震属性分析技术在子寅油田开发中的应用[J],石油物探,2003,42(1):72-76
11吕景英.用波形分析法预测塔河油田碳酸盐岩储层[J].勘探地球物理进展,2004,27(2):112-117
12刘殊,郭旭升,马宗晋,等.礁滩相地震响应特征和油气勘探远景[J].石油物探,2006,45(5):452-458
13王濮,金振奎,李国发,等.薄层生物碎屑灰岩的地震属性检测[J].石油物探,2007,46(4):390-393
14殷积峰,李军,谢芬,等.波形分类技术在川东生物礁气藏预测中的应用[J].石油物探,2007,46(1):53-57
15龚立,梁波,张红,等.多参数聚类技术在川东北生物礁预测中的应用[J].石油物探,2007,46(4):384-389
16邓传伟,李莉华,金银姬,等.波形分类技术在储层沉积微相预测中的应用[J].石油物探,2008,47 (3):262-265
17王晓平,陈波,臧殿光,等.地震相分析技术在伊通地堑储层沉积特征分析中的应用[J].石油物探,2008,47 (2):172-178
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