多尺度小波能量谱在致密砂岩储层气水识别中的应用——以XX地区盒8段储层为例  

Application of multi-scale wavelet energy spectrum in gas-water identification of tight sandstone reservoir:Taking He 8 reservoir in XX area as an example

作　　者：郭笑锴 段朝伟 刘春雷 王小刚 郭煜锴 董倩云 GUO Xiaokai;DUAN Chaowei;LIU Chunlei;WANG Xiaogang;GUO Yukai;DONG Qianyun(China Petroleum Logging Co.Ltd.,Xi’an 710077,Shaanxi;Technical Monitoring Center,Changqing Oilfield Company,PetroChina,Xi’an 710018,Shaanxi;National Engineering Laboratory for Exploration and Development of Low Permeability Oil and Gas Fields,Research Institute of Exploration and Development,Changqing Oilfield Company,PetroChina,Xi’an 710018,Shaanxi)

机构地区：[1]中国石油集团测井有限公司,陕西西安710077 [2]中国石油长庆油田分公司技术监测中心,陕西西安710018 [3]中国石油长庆油田分公司勘探开发研究院低渗透油气田勘探开发国家工程实验室,陕西西安710018

出　　处：《长江大学学报（自然科学版）》2022年第3期35-45,共11页Journal of Yangtze University(Natural Science Edition)

基　　金：中国石油天然气集团有限公司科学研究与技术开发项目“近钻头伽马电阻率成像随钻测井系统研发”(2018E-2107)。

摘　　要：由于研究区储层岩性变化大,非均质性强,天然气充注程度存在差异,储层含气饱和度低,导致气层电阻率差异较大,存在高电阻率出水,低电阻率产气的情况,常规方法气水识别效果差。针对此难点,从信号能量构成的角度出发,开展了多尺度小波能量谱识别低饱和度致密气层方法研究。地层微观的孔隙结构及其所含流体和宏观的岩性特征等信号能量共同构成了测井信号的总能量,通过构建流体敏感测井曲线,基于小波变换,对其进行多层多尺度分解,从而获得对流体性质反映灵敏的高频段不同尺度下的测井信号能量特征,最终根据小波能量谱最大能量尺度值和能量加权累计总值有效识别了气层和水层,提高了解释符合率。在实际应用中效果显著,为低饱和度致密砂岩储层勘探开发提供了技术支持。Due to the large lithology variation and strong heterogeneity of reservoirs in the study area,there are differences in the degree of natural gas charging and low gas saturation of reservoirs,resulting in great differences in the resistivity of gas reservoirs.And there are situations where water is produced from high-resistance reservoirs and gas is produced from low-resistance reservoirs,therefore,the effect of gas-water identification by conventional methods is poor.To solve this difficulty,a multi-scale wavelet energy spectrum identification method for low-saturation tight gas reservoir was carried out from the perspective of signal energy composition.The microscopic pore structure and fluid contained in the formation combining with the macroscopic lithology characteristics and other signal energy together constitute the total energy of the logging signal.Through the construction of fluid sensitive logging curve,based on the wavelet transform,the multi-layer and multi-scale decomposition was carried out to obtain the energy characteristics of loggingsignals under different scales in high frequency bands which are sensitive to fluid properties.Finally,the gas andwater layers were effectively identified according to the maximum energy scale value of wavelet energy spectrum and thecumulative total energy value,and the interpretation coincidence rate was improved.The effect is significant in practical application,and provides technical support for the exploration and development of tight sandstone reservoirs with low saturation.

关 键 词：气水识别 多尺度小波能量谱 流体敏感测井曲线 流体性质 测井信号 

分 类 号：P631.84[天文地球—地质矿产勘探]