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

The Application of Nonlinear Technique in Provenance Analysis and Reservoir Parameter Prediction at the Lingshui 17-2 Gas Field of Qiongdongnan Basin

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。

In order to solve the problems of deep-water provenance in the Qiongdongnan basin,this study applies nonlinear technique in the Lingshui 17-2 gas field,that is,natural gamma-ray logging dimensional method to analyze the deposition direction of sediments provenance.This method effectively avoids the problem of mineral components change due to weathering,transport,deposition and other effects and produces desirable effect in the study area,leading to a new idea in deep-water provenance analysis.In order to effectively predict reservoir parameters（such as porosity and permeability） especially in such complicated deep water reservoirs,this study,based on nonlinear theory,employs the multifractal model to predict reservoir parameters for the Huangliu Formation reservoir of deep-water area in the Qiongdongnan basin and conducts comparison analysis with drilling data.The results show that the PP-A result from the fractual model includes the actual drilling results.Therefore,the parameters of unknown areas can be predicted,providing a solid basis for the evaluation of oil and gas accumulation.The results derived from S-A method are much close to actual values,indicating that the S-A method can predict better reservoir parameters on the basis of PP-A model,and thus obtain more accurate information.Multifractal method can effectively obtain accurate parameters for those reservoir areas without wells,and its precision and prediction ability can meet the objective of less drilling,less investment and early production.