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异常地层压力检测和预测方法
引用本文:祖峰,张宗林,丰全会,樊洪海.异常地层压力检测和预测方法[J].石油钻采工艺,2004,26(1):35-38.
作者姓名:祖峰  张宗林  丰全会  樊洪海
作者单位:1.江苏油田公司工程技术研究院, 江苏扬州 225009
摘    要:由于实钻的庄1井深部井段检测和预测的地层孔隙压力与实钻钻井液当量密度相差较大,为提高莫西庄地区深部高压层地层孔隙压力的检测和预测精度,利用测井资料检测地层孔隙压力及地震层速度预测地层孔隙压力的新方法对莫西庄庄1井压力系统进行了研究,通过使用地震层速度预测单点计算法、测井资料检测简易法和综合解释法分别建立了庄1井地层孔隙压力剖面,并对其优缺点进行了分析,对结果进行了对比。初步计算结果表明,综合依据地质、地震、钻井、测井、测试等资料进行压力检测和预测的方法是可行的,其中测井资料综合法检测地层孔隙压力精度最高,为该区块井身结构和钻井液密度设计提供了科学依据。

关 键 词:莫西庄    庄1井    地层压力    检测和预测
收稿时间:2019-05-16

Abnormal Formation Pressure Monitoring and Predicting Method
by Zu Feng,Zhang Zunglin,Feng Quanhui,.Abnormal Formation Pressure Monitoring and Predicting Method[J].Oil Drilling & Production Technology,2004,26(1):35-38.
Authors:by Zu Feng  Zhang Zunglin  Feng Quanhui  
Affiliation:1.Engineering Inst. of Jiangsu Oilfield Company
Abstract:Formation pore pressure monitored and predicted in the deep hole section of Zbuang - 1 during real drilling varies gready with the drilling fluid density, and to improve the formation pore pressure monitoring and predicting accuracy in the deep high pressured formation, a systematic research on the pressure of Zhuang - 1 was conducted by using the two new methods, which are monitoring formation pore pressure based on logging data and predicting formation pore pressure based on seismic zonal velocity. Formation pore pressure profiles were established separately based on the three methods as the calculating method of predicting single point based on seismic zonal velocity, the simple method of logging data monitoring and integrated interpretation method; their advantages and disadvantagas were evaluated and their results were compared. Initial calculation showed that the pressure monitoring and predicting method integrated with geology, seismic, drilling, logging and well testing is feasible, and in which the integrated method based on logging data obtains the highest accuracy and it prorides scientific basis for the casing program and drilling fluid design in such blocks.
Keywords:Moxizhuang  Well Zhuang-1  formation pore pressure  monitoring  predicting  
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