油气田开发

基于差分广域电磁法的三元复合驱监测方法

  • 李帝铨 ,
  • 何继善
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  • 1.有色金属成矿预测与地质环境监测教育部重点实验室(中南大学),长沙 410083;
    2.有色资源与地质灾害探测湖南省重点实验室,长沙 410083;
    3.中南大学地球科学与信息物理学院,长沙 410083
李帝铨(1982-),男,广西北流人,博士,中南大学教授,主要从事电磁法探测理论与技术研究。地址:湖南长沙市岳麓区麓山南路932号,中南大学地球科学与信息物理学院,邮政编码:410083。E-mail:lidiquan@csu.edu.cn

收稿日期: 2020-11-24

  网络出版日期: 2021-05-21

基金资助

国家重点研发计划(2018YFC0807802); 国家自然科学基金面上项目(41874081)

A differential wide field electromagnetic method and its application in ASP flooding monitoring

  • LI Diquan ,
  • HE Jishan
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  • 1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Central South University), Ministry of Education, Changsha 410083, China;
    2. Key Laboratory of Non-ferrous and Geological Hazard Detection, Changsha 410083, China;
    3. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

Received date: 2020-11-24

  Online published: 2021-05-21

摘要

为进一步提高三元复合驱驱油效率,优化驱油参数和跟踪调整技术,提出了基于差分广域电磁法的三元复合驱监测方法,并应用于大庆油田某区块的三元复合驱监测试验中。驱油过程中多次采集电磁场响应,将驱替前采集数据设为背景场,反演得到电阻率模型;然后利用测井电阻率数据进行标定,建立电阻率模型;最后基于电阻率模型的空间域一阶差分,采用残差梯度推断三元复合驱体系分布范围和前缘位置。井组生产数据验证了此方法可有效推断三元复合驱体系分布范围和前缘位置,为驱油注采参数优化提供数据支持。图8表3参14

本文引用格式

李帝铨 , 何继善 . 基于差分广域电磁法的三元复合驱监测方法[J]. 石油勘探与开发, 2021 , 48(3) : 595 -602 . DOI: 10.11698/PED.2021.03.14

Abstract

To improve effectiveness of ASP flooding, it is necessary to establish a reliable parameter design and tracking adjustment method to monitor the process of oil displacement. A differential wide field electromagnetic method was proposed and applied to the ASP displacement monitoring test in a block of the Daqing Oilfield. In the process of ASP flooding, the electromagnetic field was measured many times. The data acquired before the ASP flooding were set as the background field, and the resistivity model was obtained by inversion. Then, the resistivity data were calibrated by logging data and the resistivity model was established. Finally, the range and front of ASP flooding were deduced with the residual gradient from the spatial domain first-order difference of the resistivity model. Production data of well groups in this block have proved that this method can work out the range and front of ASP flooding accurately, providing support for optimization of ASP flooding parameters.

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