摘要
地层孔隙压力的精准预测直接关系到钻井工程设计、油气藏开发方案制定等油气田勘探开发的各个重要环节.测井信息具有纵向分辨率高、连续测量等独特的优势,在地层孔隙压力预测方面得到了广泛的应用.目前,业界所研发的地层孔隙压力测井预测方法较多,在现场实际生产中未必能全部利用这些方法来计算地层孔隙压力,而利用单一方法有可能难以保障其预测精度.为了精准地预测地层孔隙压力,本文系统调研了国内外地层孔隙压力测井预测方面的文献,详实阐述各预测技术的方法原理之后,细致归纳总结了各地层孔隙压力预测技术的适用性.系统总结得知,有效应力法和Bowers法均能准确地预测地层孔隙压力,经验统计模型法也具有较高的预测精度,而等效深度法、Eaton法受制于正常压实趋势方程的精度,其预测效果相对较差.借助研究区力学参数试验,有机融合地球物理测井和压力检测资料,构建地层孔隙压力非线性预测模型将是本领域发展的趋势.
The accurate prediction of formation pore pressure is directly related to the drilling engineering design,reservoir development plan formulation and other important aspects of oil-gas exploration and development.For Logging information,there are unique advantages of high vertical resolution and continuous measurement,which has been widely used to prediction of formation pore pressure.At present,there are many logging prediction methods of formation pore pressure developed by the industry,which may not be fully used to calculate formation pore pressure in the actual production,but it may be difficult to guarantee the prediction accuracy by using a single method.In order to accurately predict the formation pore pressure,in this paper,the domestic and foreign literature on the prediction of formation pore pressure logging is systematically investigated,the method and principle of each prediction technology is elaborated,and detailed summarization of the applicability of various prediction technology is carried out.It is concluded that both the effective stress method and Bowers method can accurately predict the formation pore pressure,and there is high predication accuracy for the method of empirical statistical model;while the equivalent depth method and Eaton method are subject to the accuracy of the normal compaction trend equation,so the prediction effect is relatively poor.With the help of the mechanical parameter test in the research area,the organic integration of geophysical logging and pressure detection data,it will be the development trend in this field to establish non-linear prediction model of formation pore pressure.
作者
时梦璇
刘之的
杨学峰
杨珺茹
陈秀娟
刘洪壮
曹晋璐
SHI Meng-xuan;LIU Zhi-di;YANG Xue-feng;YANG Jun-ru;CHEN Xiu-juan;LIU Hong-zhuang;CAO Jin-lu(College of the Geoscience and Engineering,Xi'an Shiyou University,Xi'an 710065,China;Shaanxi Key Laboratory of Petroleum Accumulation Geology,Xi'an 710065,China;The Third Oil Extraction Factory in Changqing Oilfield,Yinchuan 750006,China)
出处
《地球物理学进展》
CSCD
北大核心
2020年第5期1845-1853,共9页
Progress in Geophysics
基金
陕西省重点研发计划(2019GY-140)
陕西省教育厅2020年度重点科学研究计划(协同创新中心项目)(20JY056)
西安石油大学研究生创新与实践能力培养计划(YCS19212048)联合资助.
关键词
地层孔隙压力
测井
预测
Formation pore pressure
Well logging
Prediction
