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高分辨率双侧向测井和双感应测井数据联合反演研究与应用

Joint Inversion of the High Resolution Dual Laterolog Data with Dual Induction Logging Data and Its Applications

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【作者】 成志刚孙宝佃刘振华仵杰

【Author】 CHENG Zhigang1,SUN Baodian1,LIU Zhenhua2,WU Jie2(1.Technology Center,China Petroleum Logging CO.LTD.,Xi’an,Shaanxi 710077,China;2.Xi’an Shiyou University,Xi’an,Shaanxi 710065,China)

【机构】 中国石油集团测井有限公司技术中心西安石油大学

【摘要】 介绍了高分辨率双侧向测井电极系和双感应测井线圈系结构及其响应特征。利用电阻率测井理论和反演技术,以三参数(地层电阻率、侵入带电阻率和侵入半径)反演为重点,建立了基于高分辨率双侧向测井和双感应测井数据的联合反演算法。通过分析计算各种地层模型中2种测井方法的响应特征,将反演模型分类,对不同模型采用不同的初值估计方法及不同反演搜索方法。利用高侵和低侵模型、不同层厚和不同侵入深度模型测试了反演结果的有效性。联合反演可改善解的局部收敛性和多解性,在中等侵入深度时可合理确定地层电阻率、侵入半径和侵入带电阻率。6口井的实际数据处理进一步验证了三参数反演的有效性,并提出应用中应注意问题。

【Abstract】 Introduced are the structures and response characteristics of high resolution dual laterolog electrode system and dual induction logging coil system.The joint inversion algorithm based on both the high resolution dual laterolog data and the dual induction logging data is built by the resistivity logging theory and the inversion technique,especially the inversion of 3 parameters(formation resistivity,invasion resistivity and invasion radius).Based on the calculation and analysis for responses of 2 types of logging data,the inversion model is divided into different models.Each inversion model uses the different method to estimate the initia guess value and search the true value.The validity of the joint inversion in modeling is tested by multiple models(including resistive and conductive invasion models,different bed thickness and invasion radius models).The results show that the joint inversion can improve the local convergence and multiple solutions in the resistivity logging inversion,and can determine the formation resistivity,invasion radius and invasion resistivity in the middle invasion radius conditions.The validity of the joint inversion for the three parameters is also demonstrated by 6 wells field data inversion,and the problems in the field data inversion are given.

  • 【文献出处】 测井技术 ,Well Logging Technology , 编辑部邮箱 ,2010年06期
  • 【分类号】P631.84
  • 【被引频次】8
  • 【下载频次】248
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