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作 者:丛蕊 武佳奇 李纯辉 CONG Rui;WU Jia-qi;LI Chun-hui(College of Mechanical Engineering,Changzhou University,Jiangsu Changzhou 213164,China;College of Petroleum and Engineering,Northeast Petroleum University,Heilongjiang Daqing 163711,China)
机构地区:[1]常州大学机械工程学院,江苏常州213164 [2]东北石油大学石油与工程学院,黑龙江大庆163711
出 处:《当代化工》2020年第3期674-677,共4页Contemporary Chemical Industry
基 金:国家自然科学基金,项目号:51505079.
摘 要:在石油开采与开发中,识别裂缝的方法和识别准确程度非常重要。当前利用常规测井资料进行油藏裂缝识别是主要形式,较成像测井资料的难获取和高价格形成对比,另外对于老井也能应用。利用综合概率法对地层进行裂缝那个识别,结合中高渗储层实例分析取心井裂缝岩心,提取测井资料中裂缝响应敏感的裂缝指示参数,分析其对识别裂缝的贡献程度赋予不同权重。实现了多测井资料、多地层因素的裂缝识别模型,具有精度较高、实用性强和经济节约的效果。The existence of cracks plays an important role in oil exploitation and development,and the accuracy of crack identification methods is one of the key points.At present,the main form of reservoir fracture identification is using conventional logging data,because it is more difficult to obtain than imaging logging data.In this paper,the synthetic probability method was used to identify the fractures in the formation,and the core of the core well was analyzed with an example of medium and high permeability reservoir.The fracture indicative parameters sensitive to fracture response were extracted from logging data,and their contribution to the identification of fractures was analyzed with different weights.A fracture recognition model considering multi-logging data and multi-formation factors was realized,which has high accuracy,strong practicability and economical effect.
分 类 号:TE143[石油与天然气工程—油气勘探] TE34
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