时频谱熵属性在春光油田储层预测中的应用研究  

Time-frequency spectrum entropy for reservoir prediction of Chunguang Oilfield

作　　者：肖学[1] 田仁飞[2] 赵乾辰 XIAO Xue;TIAN Renfei;ZHAO Qianchen(Exploration and Development Research Institute of Henan Oilfield Company,SINOPEC,Zhengzhou 450018,China;College of Geophysics,Chengdu University of Technology,Chengdu 610059,China)

机构地区：[1]中石化河南油田分公司勘探开发研究院,河南郑州450018 [2]成都理工大学地球物理学院,四川成都610059

出　　处：《复杂油气藏》2020年第1期18-21,41,共5页Complex Hydrocarbon Reservoirs

摘　　要：为了识别岩性油藏薄储层中的油水分布,发展了高精度时频谱熵的计算方法。通过对比分析短时傅里叶变换、连续小波变换、Wigner-Ville变换、S变换的时频方法基础上,论证了改进的广义S变换可获得更高时间分辨率的时频谱熵。利用时频谱熵方法研究了春光油田的沙湾组油水识别效果,其结果表明:时频谱熵能够有效地区分含油、含水储层,与实际钻井成果一致。进一步验证了该方法相对于传统储层预测方法,在岩性油藏检测中具有更大的优势和更好的识别能力。In order to identify the distribution of oil and water in thin lithologic reservoirs,it is developed a calculation method for high precision time-frequency spectrum entropy.By comparing and analyzing short-time Fourier transform,wavelet transform,Wigner-Ville transform and S transform,it is concluded that the improved generalized S transform can obtain time-frequency spectrum entropy with higher time resolution.The effect of oil-water identification for Shawan Formation in Chunguang Oilfield was studied by using the time-frequency spectrum entropy method.The results show that time-frequency spectrum entropy can effectively distinguish oil-bearing and water-bearing reservoirs,which is consistent with actual drilling results.It is further verified that the time-frequency spectrum entropy method has more advantages and better recognition ability in lithologic reservoir detection than the traditional reservoir method.

关 键 词：广义S变换 时频谱熵 含油储层预测 春光油田 岩性油藏 

分 类 号：P631[天文地球—地质矿产勘探]