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非线性技术在琼东南盆地深水区陵水17-2气田物源分析和储层预测中的应用
引用本文:张焱,裴健翔,周永章,朱继田,陈杨.非线性技术在琼东南盆地深水区陵水17-2气田物源分析和储层预测中的应用[J].地质学报,2016,90(3):559-568.
作者姓名:张焱  裴健翔  周永章  朱继田  陈杨
作者单位:中海石油(中国)有限公司湛江分公司, 广东湛江, 524057;;中海石油(中国)有限公司湛江分公司, 广东湛江, 524057;;中山大学地球科学与地质工程学院,广州, 510275;中海石油(中国)有限公司湛江分公司, 广东湛江, 524057;;中海石油(中国)有限公司湛江分公司, 广东湛江, 524057;
基金项目:“十二五”国家重大科技专项(编号: 2011ZX05025)
摘    要:为解决琼东南盆地深水区物源问题,将非线性技术应用于陵水17-2气田物源分析,即利用自然伽马测井曲线的分形维数进行沉积物源方向分析。该技术有效避免了由于风化、搬运、沉积等作用而导致的重矿物组分变化问题,在琼东南盆地深水区黄流组沉积物源分析的应用中取得了良好效果,开辟了深水区物源分析的新思路。同时针对深水区复杂储层特征,为有效预测油气层评价中储层参数如孔隙度、渗透率等,文中基于非线性理论,采用多重分形模型对琼东南盆地深水区黄流组储层参数进行预测,并与实钻结果进行对比,结果表明,采用物性参数-面积(PP-A)分形模型计算得到的范围包含了实钻结果,可以根据该参数预测未知区域储层参数,从而为油气藏评价提供依据;而采用分形滤波技术(S-A)得到的结果更接近实际情况,这说明S-A法能在PP-A法的基础上更深层次地预测储层参数,从而得到更准确的信息。多重分形法可以准确有效地获取无井点处的参数估计值,其精度和预测能力都能达到少打井、少投资和早见效的目的。

关 键 词:非线性技术  物源分析  储层参数  琼东南盆地  油气藏评价  物性参数-面积分形模型  分形滤波技术
收稿时间:2015/1/12 0:00:00
修稿时间:2/3/2016 12:00:00 AM

The Application of Nonlinear Technique in Provenance Analysis and Reservoir Parameter Prediction at the Lingshui 17-2 Gas Field of Qiongdongnan Basin
ZHANG Yan,PEI Jianxiang,ZHOU Yongzhang,ZHU Jitian and CHEN Yang.The Application of Nonlinear Technique in Provenance Analysis and Reservoir Parameter Prediction at the Lingshui 17-2 Gas Field of Qiongdongnan Basin[J].Acta Geologica Sinica,2016,90(3):559-568.
Authors:ZHANG Yan  PEI Jianxiang  ZHOU Yongzhang  ZHU Jitian and CHEN Yang
Institution:CNOOC Nanhai Offshore Oil Corporation Limited, Zhanjiang, Guangdong, 524057;;CNOOC Nanhai Offshore Oil Corporation Limited, Zhanjiang, Guangdong, 524057;;School of Earth Science and Geological Engineering, Sun Yat sen University, Guangzhou, 510275;CNOOC Nanhai Offshore Oil Corporation Limited, Zhanjiang, Guangdong, 524057;;CNOOC Nanhai Offshore Oil Corporation Limited, Zhanjiang, Guangdong, 524057;
Abstract:In order to solve the provenance of deep-water in Qiongdongnan basin, non-linear technology is used to analyze provenance in Lingshui 17-2 gas field, namely use the fractal dimension of natural gamma logs analyze provenance. This technique effectively avoids mineral components changes problem due to weathering, transportation, deposition and other effects. It achieved good results, opened up new ideas in deep-water provenance analysis. For the complex reservoir characteristics of deep-water, in order to effectively predict reservoir parameters such as porosity, permeability, etc., the paper based on nonlinear theory, using fractal model to predict reservoir parameters in deep-water of Qiongdongnan basin. And compared with the traditional method IDW, the results showed that the result of IDW is lower than the actual, but the difference is not obvious. The P-A result includes the actual results, we can predict reservoir parameters of unknown area based on the parameter, thus provide a basis for evaluating reservoir. The result of S-A model is much closer to the actual, This shows that the method can predict reservoir parameters deeper on the basis of P-A model, thereby obtaining more accurate information. Multifractal method can effectively obtain accurate parameter estimates at the point of no Well, its accuracy and predictive ability can achieve the purpose of less drilling, and less investment purposes and early results.
Keywords:nonlinear techniques  provenance analysis  reservoir parameters  Qiongdongnan Basin  reservoir evaluation  physical parameters- area fractal method  fractal filtering technology
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