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南海西部文昌地区测井数据标准化方法与应用     被引量:1

Logging data standardization method and application for Wenchang region,western part of south China sea

文献类型:期刊文献

中文题名:南海西部文昌地区测井数据标准化方法与应用

英文题名:Logging data standardization method and application for Wenchang region,western part of south China sea

作者:张莹[1];潘保芝[2];何胜林[3]

机构:[1]广东海洋大学海洋遥感与信息技术实验室,广东湛江524088;[2]吉林大学地球探测科学与技术学院,吉林长春130026;[3]中海石油(中国)有限公司湛江分公司研究院,广东湛江524057

年份:2013

卷号:35

期号:5

起止页码:598

中文期刊名:物探化探计算技术

外文期刊名:Computing Techniques For Geophysical and Geochemical Exploration

收录:CSTPCD、、CSCD_E2013_2014、Scopus、CSCD

基金:国家科技重大专项项目(2011ZX05009)项目资助

语种:中文

中文关键词:文昌地区;测井数据标准化;Grubbs公式;趋势函数

外文关键词:Wenchang regiom logging data standardizatiom Grubbs formula; trend function

中文摘要:为解决测井资料标准化这个重要而复杂的问题,以南海西部文昌地区常规测井资料为研究对象,充分利用岩心分析资料制定如下测井数据标准化方案:在深入分析研究区地质资料的基础上确定标准层优选关键井,并对关键井进行岩心刻度以确保关键井信息的正确;继而通过Grubbs公式对关键井的测井曲线频率直方图主频值进行处理,得到研究区第一个测井标准化值;再利用拟合度限定趋势面函数次数的趋势面求值法,处理全部井标准层内的测井曲线频率直方图主频值,得到研究区第二个测井标准化值;最终选取第一与第二标准化值的均值作为研究区校正标准。对比岩心分析资料,认为校正后的测井数据更加合理,这为研究区后续利用测井资料进行储层综合评价奠定了基础。

外文摘要:Logging data standardization is an important and complicated issue. To deal with it, we made a logging data standardization program by taking full advantage of core analysis data from Wenchang region, western part of South China sea. The program is as follow: After a deep analysis of the geological condition of the research area, the optimal key wells of marker bed were determined. Then the key wells were further core calibrated to make sure the obtained information was cor rect. TEe first standardized logging value could be obtained by processing the main frequency value of logging frequency hisk togram of key wells with Grubbs formula, and the second valne could be obtained by processing the main frequency value of logging frequency histogram of all wells with trend surface analysis. Finally, the average of these two standardized values was chosen as the calibration standard for the research area. Comparing with core analysis data, the logging data after call bration is more reasonable. The present work has laid a good foundation for the comprehensive evaluation of reservoirs by u sing logging data.

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