[1]夏步余,刘 健,吴艳梅,等.邵伯地区砂砾岩扇体圈闭描述方法[J].复杂油气藏,2014,(04):28.
　Xia Buyu,Liu Jian,Wu Yanmei,et al.Trap description method of glutenite fan body in Shaobo area[J].Complex Hydrocarbon Reservoirs,2014,(04):28.
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邵伯地区砂砾岩扇体圈闭描述方法
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《复杂油气藏》[ISSN:1674-4667/CN:31-2019/TQ]

卷:
期数:
2014年04期
页码:
28
栏目:
油气勘探
出版日期:
2014-12-25

文章信息/Info

Title:
Trap description method of glutenite fan body in Shaobo area
作者:
夏步余1; 刘 健1; 吴艳梅1; 胡 敏1; 陆修莲2
1.中国石化江苏油田分公司地质科学研究院,江苏 扬州 225009; 2.中国石化江苏油田分公司试采一厂,江苏 扬州 225265
Author(s):
Xia Buyu; Liu Jian; Wu Yanmei; Hu Min; Lu Xiulian
1.Geological Scientific Research Institute of Jiangsu Oilfield Company,SINOPEC,Yangzhou 225009,China; 2.No.1 Oil Production Plant of Jiangsu Oilfield Company,SINOPEC,Yangzhou 225265,China
关键词:
近岸水下扇 砂砾岩 模型正演 地震属性 聚类分析 储层预测
Keywords:
nearshore subaqueous fan;  glutenite;  forward modeling;  seismic attribute;  clustering analysis;  reservoir forecast
分类号:
P631.4
文献标志码:
A
摘要:
高邮凹陷邵伯地区戴南组发育近岸水下扇砂砾岩体隐蔽圈闭,扇体识别、形态刻画及砂砾岩厚度预测是此类圈闭描述重点及难点。针对难点,通过正演模拟明确了扇体内幕及外部的地震反射特征,以指导地震剖面扇体识别; 应用三维可视化地震数据浏览确定了扇体空间特征,以多属性聚类分析圈定了扇体平面形态; 应用波阻抗反演预测了扇体储层厚度。综合以上研究,邵伯地区落实扇体圈闭5个,为钻探提供了可靠依据,并在后期生产中取得了较好的效果。
Abstract:
Nearshore subaqueous fans are well developed in Dainan Formation of Gaoyou Sag,and the emphasis and difficulty of the trap description are the fan body recognition,the morphological characterization and the glutenite thickness prediction.Aiming at the difficulty,through forward modeling,the seismic reflection features inside and outside the fan body were cleared to guide the seismic fan identification; the fan body space was determined by browsing three-dimensional visualization seismic data,and the fan body shape was delineated through the multiple attribute clustering analysis; the fan reservoir thickness was predicted by wave impedance inversion.Based on the above study,five fan traps were found in Shaobo area.This provided a reliable basis for drilling,and achieved good application effect.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2014-04-11; 改回日期:2014-05-13。
作者简介:夏步余(1971—),高级工程师,现从事复杂小断块构造解释及地震储层预测方法研究。电话:0514-87760793,E-mail: xiaby.jsyt@sinopec.com。
攻关项目:江苏油田地质科学研究院重大专项(DY13025)。
更新日期/Last Update: 2014-12-25