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叠前无井弹性参数反演技术及其应用
引用本文:张京思,王明臣,李瑞.叠前无井弹性参数反演技术及其应用[J].工程地球物理学报,2013,10(1):66-70.
作者姓名:张京思  王明臣  李瑞
作者单位:1. 成都理工大学地球探测与信息技术教育部重点实验室,四川成都,610059
2. 中海石油有限公司天津分公司勘探开发研究院,天津,300452
摘    要:应用叠前无井弹性参数反演技术可以更精确地对目标工区进行有效的储层流体识别。在无井或少井区,通过对叠前道集进行反演求得不同弹性物理参数,得到可以对油气进行识别的AVO强度剖面,进行储层内流体的预测工作,并用已知钻井资料进行验证。实际应用结果表明,叠前无井弹性参数反演技术减少了已知钻井资料的约束,而用较多的井资料来验证预测结果的准确性,其在砂体预测,平面展布等方面具有的优越性,从而为隐蔽性油气藏勘探提供更好的技术支持。叠前无井弹性参数反演技术使无井区域储层预测的多解性与不确定性大大降低,提高了反演结果的准确性,这项技术的应用对于类似区块的储层预测工作,具有一定的推广价值。

关 键 词:叠前反演  弹性参数  储层预测  属性

The Pre-stack without Well Elastic Parameter Inversion Technique and Its Application
Zhang Jingsi , Wang Mingchen , Li Rui.The Pre-stack without Well Elastic Parameter Inversion Technique and Its Application[J].Chinese Journal of Engineering Geophysics,2013,10(1):66-70.
Authors:Zhang Jingsi  Wang Mingchen  Li Rui
Affiliation:1.Earth Exploration and Information Technology,Chengdu University of Technology,Key Laboratory of Education Ministry,Chengdu Sichuan 610059,China;2.Exploration and Development Research Institute,CNOOC Tianjin Company,Tianjin 300452,China)
Abstract:The application of pre stack without well elastic parameter inversion can be more accurate to identify reservoir fluid in targeted work area. In the absence of well or less well area, this technology could get different elastic physical parameters from the inversion of prestack gathers,and gets the AVO intensity profile which can identify oil and gas, pre- dicts the reservoir fluids, and the results are confirmed by the drilling data. The actual ap plication results show that the pre--stack without well elastic parameter inversion tech- nique has reduced the constraint of the well logging data,and more wells data can be used to verify the accuracy of the prediction results. It has more superiority in prediction of sand body and plane distribution, thus provides better technical support for subtle reservoir ex ploration. The technology could greatly reduce the multiple solution and uncertainty of res ervoir prediction in no well area and improve the accuracy of the inversion results. The application of this technology has certain value of popularization for similar area reservoir prediction.
Keywords:pre--stack inversion  elastic parameters  reservoir prediction  attribute
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