PREDICTION OF RESERVOIRS IN PINGHU FORMATION OF PINGBEI AREA BASED ON SEISMIC MULTI-ATTRIBUTE ANALYSIS

HUANG Shengbing; YE Jiaren; ZHU Hongtao; LU Junze; GU Huirong; WANG Jili

doi:10.3724/SP.J.1140.2009.03099

2009 Vol. 29, No. 3

Article Contents

Article navigation > Marine Geology & Quaternary Geology > 2009 > 29(3): 99-105

Next Article Previous Article

HUANG Shengbing, YE Jiaren, ZHU Hongtao, LU Junze, GU Huirong, WANG Jili. PREDICTION OF RESERVOIRS IN PINGHU FORMATION OF PINGBEI AREA BASED ON SEISMIC MULTI-ATTRIBUTE ANALYSIS[J]. Marine Geology & Quaternary Geology, 2009, 29(3): 99-105. doi: 10.3724/SP.J.1140.2009.03099

Citation:

HUANG Shengbing, YE Jiaren, ZHU Hongtao, LU Junze, GU Huirong, WANG Jili. PREDICTION OF RESERVOIRS IN PINGHU FORMATION OF PINGBEI AREA BASED ON SEISMIC MULTI-ATTRIBUTE ANALYSIS[J]. Marine Geology & Quaternary Geology, 2009, 29(3): 99-105. doi: 10.3724/SP.J.1140.2009.03099

PREDICTION OF RESERVOIRS IN PINGHU FORMATION OF PINGBEI AREA BASED ON SEISMIC MULTI-ATTRIBUTE ANALYSIS

1 Key Laboratory of Tectonics and Petroleum Resources, MOE, Wuhan 430074, China;
2 Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China;
3 The East China Sea Xihu Oil & Gas Operating Company, CNOOC, Shanghai 200030, China

Received Date: 20 February 2009

Revised Date: 30 April 2009

Abstract

Abstract

Pinghu Formation reservoirs, the most important ones in Pingbei area of the Xihu depression, can not be predicted precisely by using conventional methods due to absence of corresponding data, which has restricted hydrocarbon exploration and development in the study area.The authors applied seismic multi-attributes technique and combined with data of well logs, core, lithology and regional geology to interpret the lithofacies of Pinghu Formation in the Pingbei area, and also favorable area for hydrocarbon exploration has been predicted in this paper. The results show that two sedimentary facies (tidal flat and delta) influenced by tide are developed in the Pinghu Formation, and reservoir in the delta is better because of its flaky sandbody distribution. The southwestern part of the study area with delta-front facies is the favorable target for hydrocarbon exploration.
- sequence stratigraphy /
- seismic multi-attributes analysis /
- reservoir prediction /
- Pingbei area /
- Xihu depression

FullText(HTML)

References

[1]	印兴耀,韩文功,李振春,等. 地震技术新进展[M]. 北京:石油工业出版社, 2006:58-60.[YIN Xingyao,HAN Wengong,LI Zhenchun,et al. The New Progress in Seismic Technology[M]. Beijing:Petroleum Industry Press,2006:58 Google Scholar -60.] Google Scholar
[2]	张永刚. 油气地球物理技术新进展[M].北京:石油工业出版社,2004:224.[ZHANG Yonggang. The New Progress in Hydrocarbon Geophysics Technology[M]. Beijing:Petroleum Industry Press,2004:224.] Google Scholar
[3]	魏艳,尹成,丁峰,等. 地震多属性综合分析的应用研究[J]. 石油物探,2007,46(1):42-47. Google Scholar [WEI Yan,YIN Cheng,DING Feng,et al. Synthetic analysis of seismic multi-attribute and its application[J]. Geophysical Prospecting for Petroleum,2007,46(1):42-47.] Google Scholar
[4]	陈遵德. 储层地震属性优化方法[M]. 北京:石油工业出版社,1998:11-13.[CHEN Zunde. The Optimization Method of Reservoir Seismic Attribute[M]. Beijing:Petroleum Industry Press,1998:11 Google Scholar -13.] Google Scholar
[5]	沈荣,张宏健,夏连军,等. 基于地震属性分析的储层预测方法研究[J]. 小型油气藏,2008,13(2):22-25. Google Scholar [SHEN Rong,ZHANG Hongjian,XIA Lianjun,et al. Reservoir forecast method based on seismic attribute analyses[J]. Small Hydrocarbon Reservoirs,2008,13(2):22-25.] Google Scholar
[6]	赵政璋,赵贤正,王英明,等. 储层地震预测理论与实践[M]. 北京:科学出版社,2005.[ZHAO Zhengzhang,ZHAO Xianzheng,WANG Yingming,et al. Theory and Practice of Seismic Reservoir Prediction[M]. Beijing:Science Press,2005.] Google Scholar
[7]	张建宁,于建国. 地震属性应用中的不确定性分析[J]. 石油物探,2006,45(4):373-379. Google Scholar [ZHANG Jianning,YU Jianguo. Uncertainty analysis in the application of seismic attribution[J]. Geophysical Prospecting for Petroleum,2006,45(4):373-379.] Google Scholar
[8]	赵丽娜,陈建文,张银国,等. 东海西湖凹陷平湖构造带平湖组沉积特征[J]. 世界地质,2008,27(1):42-47. Google Scholar [ZHAO Lina,CHEN Jianwen,ZHANG Yinguo,et al. Sedimentary characteristics of Pinghu Formation in Pinghu structural belt of Xihu depression, East China Sea[J].Global Geology,2008,27(1):42-47.] Google Scholar
[9]	孙思敏,彭仕宓. 东海西湖凹陷平湖油气田花港组沉积相及沉积演化[C]//第九届全国古地理学及沉积学学术会议论文集. 2006:36.[SUN Simin,PENG Shimi. Sedimentary facies and sedimentary evolution of Huagang formation in Pinghu field Xihu sag, the East China Sea[C]//Ninth National Palaeogeography and Sedimentology Conference Proceedings, 2006:36.] Google Scholar
[10]	叶加仁,顾惠荣,贾健谊. 东海陆架盆地西湖凹陷油气成藏动力学[J]. 天然气工业,2005,25(12):5-8. Google Scholar [YE Jiaren,GU Huirong,JIA Jianyi. Research on the hydrocarbon accumulation dynamics of Xihu Sag, East China Sea Shelf Basin[J]. Natural Gas Industry,2005,25(12):5-8.] Google Scholar
[11]	顾惠荣,叶加仁,郝芳. 东海西湖凹陷平湖构造带油气分布规律[J]. 石油与天然气地质,2005,26(1):104-108. Google Scholar [GU Huirong,YE Jiaren,HAO Fang. Distribution pattern of oil and gas in Pinghu structural zone in Xihu depression, East China Sea[J]. Oil & Gas Geology,2005,26(1):104-108.] Google Scholar
[12]	顾惠荣,贾健谊,叶加仁. 东海西湖凹陷含油气系统特征[J]. 石油与天然气地质,2002,23(3):295-297. Google Scholar [GU Huirong, JIA Jianyi,YE Jiaren. Characteristics of oil and gas bearing system in Xihu sag in the East China Sea[J]. Oil & Gas Geology, 2002,23(3):295-297.] Google Scholar
[13]	胡芬,叶加仁,刘俊海. 东海西湖凹陷平湖构造带油气运聚特征[J]. 海洋地质与第四纪地质,2003,23(1):95-102. Google Scholar [HU Fen,YIE Jiaren,LIU Junhai. Petroleum migration and accumulation characteristics of Xihu sag,the East China Sea[J]. Marine Geology and Quaternary Geology,2003,23(1):95-102.] Google Scholar
[14]	田景文,高美娟. 人工神经网络算法研究及应用[M]. 北京:北京理工大学出版社,2006:35-38.[TIAN Jingwen,GAO Meijuan. The Research and Application of Artificial Neural Network[M]. Beijing:Beijing Institute of Technology Press,2006:35 Google Scholar -38.] Google Scholar
[15]	徐刚,张建宁,谭明友. BP人工神经网络在济阳拗陷圈闭地质评价中的应用[J]. 石油地球物理勘探,2004,39(5):565-569. Google Scholar [XU Gang,ZHANG Jianning,TAN Mingyou.Application of BP artificial neural network to geologic appreciation of traps in Jiyang depression[J]. Oil Geophysical Prospecting,2004,39(5):565-569.] Google Scholar
[16]	贺铎华. BP神经网络识别塔北低阻油气层[J]. 物探与化探,2002,26(2):122-125. Google Scholar [HE Duohua. The application of BP neural network to recognition of the Tabei low resistivity oil and gas layers[J]. Geophysical and Geochemical Exploration,2002,26(2):122-125.] Google Scholar
[17]	王良忱,张金亮.沉积环境和沉积相[M].北京:石油工业出版社,1996.[WANG Liangchen,ZHANG Jinliang. Sedimentary Environment and Sedimentary Facies[M].Beijing:Petroleum Industry Press,1996.] Google Scholar
[18]	姜在兴. 沉积学[M]. 北京:石油工业出版社,2003.[JIANG Zaixing. Sedimentology[M]. Beijing:Petroleum Industry Press,2003.] Google Scholar