琼东南盆地深水区亮点型气藏时频差异属性分析应用研究  

Application of Time-Frequency Difference Attribute Analysis of Bright Spot Type Gas Reservoir in Deep-Water Qiongdongnan Basin

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作  者:刘仕友 陈志宏 汪锐 闫安菊 Liu Shiyou;Chen Zhihong;Wang Rui;Yan Anju(School of Petroleum Engineering,China University of Petroleum,Qingdao 266000,China;Hainan Branch Company,China National Offshore Oil Corporation,Haikou 570100,China)

机构地区:[1]中国石油大学石油工程学院,山东青岛266000 [2]中海石油(中国)有限公司海南分公司,海南海口570100

出  处:《地球科学》2023年第2期465-474,共10页Earth Science

基  金:十四五重大专项“南海北部深水区勘探关键技术”(No.KJGG2022-0104)。

摘  要:受深水区探井少、不同流体AVO类型相近影响,利用常规P(拟合截距)、G(拟合梯度)、P×G、P+G等衍生烃类检测属性已不能有效识别深水区储层的流体性质,亟需寻找适合该区有效储层的烃类检测方法 .实际上,地震波在地下地层传播过程中会产生明显的吸收衰减现象,通过含气砂岩会产生低频增加现象,因此联合谱分解和AVO技术是解决深水烃类检测的有效途径.利用时频属性的峰值振幅和平均振幅,提出了能更好地描述流体性质变化的差异属性,可以增强深水区含气性识别的敏感度,在深水浊积岩储层烃类检测中取得良好的应用效果,有效降低深水区烃类检测的多解性.Due to the small number of exploration Wells in the deep-water area and the similar number of AVO types of different fluids, the derived hydrocarbon detection properties such as conventional P(fitting intercept), G(fitting gradient), P×G and P+G have been unable to effectively identify the fluid properties of the deep water area, so it is urgent to find a hydrocarbon detection method suitable for the effective reservoirs in this area. In fact, seismic waves will produce obvious absorption and attenuation phenomenon in the propagation process of underground strata, especially through the gas-bearing sandstone will produce low-frequency increase phenomenon, so the combined spectral decomposition and AVO technology is an effective way to solve the deep-water hydrocarbon detection. By using the peak amplitude and average amplitude, can better describe the difference of fluid properties change, can enhance the sensitivity of the deep-water gas identification, in deep-water turbidity reservoir hydrocarbon detection good application results, progress to improve the reliability of deep-water reservoir hydrocarbon detection, effectively reduce the solution of deep-water hydrocarbon detection.

关 键 词:琼东南盆地 深水浊积岩 AVO分析 时频分析 时频差异属性 石油地质 

分 类 号:P618.13[天文地球—矿床学]

 

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