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挤压构造地层压力预测模型研究
引用本文:杨进,刘书杰,石磊,周建良,王平双,杨学昌.挤压构造地层压力预测模型研究[J].石油学报,2009,30(5):764-768.
作者姓名:杨进  刘书杰  石磊  周建良  王平双  杨学昌
作者单位:1. 中国石油大学石油工程教育部重点实验室, 北京 102249;2. 中海石油(中国)有限公司北京研究中心, 北京 100027
基金项目:国家高技术研究发展计划(863)项目"精确的地层压力预测和监测技术" 
摘    要:搞好地层压力预测,能够为钻井参数选择和井身结构设计提供准确的基础数据.针对目前某研究地区MR油田所在地层中存在逆掩推覆构造和挤压构造,已钻入地层中普遍存在异常高压,而其地震层速度和测井声波时差资料都无异常表现,采用常规的地层压力预测方法对该区块进行地层压力预测时会产生很大的误差.分析其原因,主要是挤压构造作用使该地区产生高压.引入相对挤压构造应力和构造压力因子对现有的地层压力预测模型进行了修正,建立了挤压构造条件下的地层压力预测模型.现场应用试验表明,修正的地层压力预测模型大大提高了挤压构造地区的地层压力预测精度.

关 键 词:地层压力  挤压构造作用  地应力  构造压力因子  预测模型  
收稿时间:2009-01-23
修稿时间: 

Research on prediction model for formation pressure in compression structure
YANG Jin,LIU Shujie,SHI Lei,ZHOU Jianliang,WANG Pingshuang,YANG Xuechang.Research on prediction model for formation pressure in compression structure[J].Acta Petrolei Sinica,2009,30(5):764-768.
Authors:YANG Jin  LIU Shujie  SHI Lei  ZHOU Jianliang  WANG Pingshuang  YANG Xuechang
Affiliation:1. Key Laboratory for Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China;2. CNOOC Research Center, Beijing 100027, China
Abstract:During oil exploring and drilling process, it is very important to predict formation pressure accurately, because it can supply pressure technique data for drilling parameter select and well structure design. There are over-thrust folding structure and compression structure in the formations of MR Oilfield, and there exists the overpressure in the drilled formation. However, there are no abnormal expressions in the seismic interval velocity and logging information of interval travel time. There shows serious error using the traditional prediction methods in this block. The effect of compression structure stress is the main reason for producing overpressure. The relative compression structure stress and structural pressure factors were cited to correct the traditional prediction models. The applications of the corrected prediction models on site showed that the predictive accuracy of formation pressure could be greatly improved.
Keywords:formation pressure  compression structure  formation stress  structural pressure factor  prediction model
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