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渤南洼陷钻前地层压力地震预测
引用本文:罗胜元,何,生,宋国奇,王永诗,郝雪峰,金秋月.渤南洼陷钻前地层压力地震预测[J].石油地球物理勘探,2014,49(2):349-359.
作者姓名:罗胜元      宋国奇  王永诗  郝雪峰  金秋月
作者单位:1. 中国地质大学(武汉)构造与油气资源教育部重点实验室, 湖北武汉 430074; 2. 中国石化胜利油田分公司, 山东东营 257015; 3. 中海石油(中国)有限公司湛江分公司, 广东湛江 524057
基金项目:国家油气重大专项课题“渤海湾盆地精细勘探关键技术”(2011ZX05006-002);中国地质大学构造与油气资源教育部重点实验室开放基金项目(TPR-2011-10)联合资助
摘    要:沾化凹陷渤南洼陷沙三段和沙四段普遍存在着异常高压。为全面了解该区纵、横向压力分布特征,采用叠前时间偏移速度谱资料,利用VSP速度,应用Fillippone公式压力预测模型,成功地预测了渤南洼陷的孔隙压力体。采用VSP测井优化校正地震层速度,可以使速度误差小于8%,从源头上降低地层孔隙压力的不确定性。在确定研究区相对应的模型参数前提下,依照每个速度谱点分别求取最大、最小压实速度,为压力预测模型提供了良好的速度处理方法。利用经校正的速度资料和预测模型,获得了流体压力的三维数据体,可以从任意方向切片观察凹陷内压力的空间展布。由于地震垂向分辨率影响着地震速度精度,再加上多种地质因素影响地震速度,从而导致地震预测压力值与实测值存在误差。经速度校正系数和实测值的校正,82%的统计数据误差在±10%的允许范围内,基本能满足勘探、开发的需要。

关 键 词:渤南洼陷  叠前偏移地震速度谱  压力预测  三维超压体  
收稿时间:2012-10-30

Formation pressure prediction in Bonan Sag
Luo Shengyuan,He Sheng,Song Guoqi,Wang Yongshi,Hao Xuefeng,Jin Qiuyue.Formation pressure prediction in Bonan Sag[J].Oil Geophysical Prospecting,2014,49(2):349-359.
Authors:Luo Shengyuan  He Sheng  Song Guoqi  Wang Yongshi  Hao Xuefeng  Jin Qiuyue
Affiliation:1. Key Laboratory of Tectonics and Petroleum Resource of Ministry of Education, China University of Geosciences (Wuhan), Wuhan, Hubei 430074, China; 2. Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257015, China; 3. Zhanjiang Branch, CNOOC, Zhanjiang, Guangdong 524057, China
Abstract:Overpressures are commonly observed in the third and fourth member of Shahejie (Es3 and Es4) formations in Bonan Sag, Zhanhua Depression. The optimized and calibrated velocity data along with the Fillippone formula pressure prediction model have been used to predict formation pressure in Bonan Sag. VSP and logging information is used to calibrate seismic velocity, which reduces greatly velocity error and the uncertainty of pore pressure prediction. After determining the model parameters of the study area, we obtain each maximum and minimum velocity of seismic velocity spectrum. Using corrected seismic data and predictive models, we get the pore pressure 3D modeling. It offers a comprehensive picture by showing the overall variation in 3D view and reveals a comprehensive understanding of the pressure distribution at any direction slice. The pressure prediction may cause errors due to inaccurate seismic velocity and low seismic resolution. For our applications, 82 percent of the predictions are within an error less than 10 percent, which can meet the requirements of the exploration in the area.
Keywords:Bonan Sag  prestack migration  seismic velocity spectrum  pressure prediction  3D overpressure model  
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