[1]陶 磊,赵越哲,何岩峰,等.一种碳酸盐岩气藏地层孔隙压力计算方法[J].常州大学学报(自然科学版),2019,31(03):88-92.[doi:10.3969/j.issn.2095-0411.2019.03.010]
　TAO Lei,ZHAO Yuezhe,HE Yanfeng,et al.A Calculation Method of Pore Pressurein Carbonate Gas Reservoir[J].Journal of Changzhou University(Natural Science Edition),2019,31(03):88-92.[doi:10.3969/j.issn.2095-0411.2019.03.010]
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一种碳酸盐岩气藏地层孔隙压力计算方法()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第31卷
期数:
2019年03期
页码:
88-92
栏目:
石油与天然气工程
出版日期:
2019-05-28

文章信息/Info

Title:
A Calculation Method of Pore Pressurein Carbonate Gas Reservoir
文章编号:
2095-0411(2019)03-0088-05
作者:
陶 磊; 赵越哲; 何岩峰; 邓 嵩
(常州大学 石油工程学院,江苏 常州 213164)
Author(s):
TAO Lei;  ZHAO Yuezhe;  HE Yanfeng;  DENG Song
(School of Petroleum Engineering, Changzhou University, Changzhou 213164, China)
关键词:
碳酸盐岩;  气藏;  地层压力;  多元回归;  纵波速度
Keywords:
carbonate;  gas reservoir;  pore pressure;  multiple regression;  compressional wave velocity
分类号:
TE 271
DOI:
10.3969/j.issn.2095-0411.2019.03.010
摘要:
中国大多数富集油气区发育了碳酸盐岩地层,但碳酸盐岩地层压力复杂多变,计算方法并不成熟。研究提出了一种多元回归模型以计算地层孔隙压力。碳酸盐岩地层声波速度可由岩石骨架和孔隙流体的声波速度加权合成,岩石骨架声波速度的主要影响因素为骨架密度、垂直有效应力及泥质含量,孔隙流体声波速度的主要影响因素为流体密度、地层孔隙压力及地层温度,通过以上理论建立模型方程,用实测值与计算值回归出模型系数,并进行区域地层孔隙压力预测。以中国西部地区某碳酸盐岩气藏的实测数据为例,对数据进行回归,得出了模型方程,进行了模型结果验证,计算结果与实测值对比分析,误差达到6%以下,符合工程需求,该模型可应用于此区域的地层孔隙压力预测。
Abstract:
The carbonate formation is developed in most oil and gas enrichment zone in China, but the formation pressure of the carbonate is complex and changeable, also the prediction method is not mature. This paper presents a multiple regression model for formation pressure, carbonate rock acoustic velocity is weighted synthesis by the acoustic wave velocity of rock skeleton and the pore fluid. The skeleton density, vertical effective stress and shale content are the main factors that impact the rock acoustic velocity. And formation fluid density, the pore pressure and formation temperature are the main factors which affect the pore fluid acoustic velocity, the equations are established by the above theory. Then the model coefficients are regressed by measured values and the calculated values to predict the formation pressure. Based on the measured data of a carbonate gas pools in China western area as an example, the model are tested. The comparison of calculation analysis results and measured values indicate that the error is less than 6%, meeting the requirements of project. Prediction of formation pore pressure in the model can be applied to this area.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-01-08。
基金项目:江苏省自然科学基金资助(BK20180959)。
作者简介:陶磊(1980— ),男,山东泰安人,博士,高级工程师。E-mail:taolei2365@163.com
更新日期/Last Update: 2019-05-29