Seismic description and fluid identification of thin reservoirs in Shengli Chengdao extra-shallow sea oilfield  

作　　者：SHU Ningkai SU Chaoguang SHI Xiaoguang LI Zhiping ZHANG Xuefang CHEN Xianhong ZHU Jianbing SONG Liang 

机构地区：[1]China University of Geosciences(Beijing),Beijing 100083,China [2]Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering,China University of Geosciences(Beijing),Beijing 100083,China [3]Shengli College,China University of Petroleum,Dongying 257061,China [4]Geophysical Research Institute,Shengli Oilfield Company,Sinopec,Dongying 257022,China

出　　处：《Petroleum Exploration and Development》2021年第4期889-899,共11页石油勘探与开发（英文版）

基　　金：Supported by the China National Science and Technology Major Project(2016zx05006);Sinopec Program for Science and Technology Development(P15156,P15159)。

摘　　要：The meandering channel deposit of the upper member of Neogene Guantao Formation in Shengli Chengdao extra-shallow sea oilfield is characterized by rapid change in sedimentary facies.In addition,affected by surface tides and sea water reverberation,the double sensor seismic data processed by conventional methods has low signal-to-noise ratio and low resolution,and thus cannot meet the needs of seismic description and oil-bearing fluid identification of thin reservoirs less than 10 meters thick in this area.The two-step high resolution frequency bandwidth expanding processing technology was used to improve the signal-to-noise ratio and resolution of the seismic data,as a result,the dominant frequency of the seismic data was enhanced from 30 Hz to 50 Hz,and the sand body thickness resolution was enhanced from 10 m to 6 m.On the basis of fine layer control by seismic data,three types of seismic facies models,floodplain,natural levee and point bar,were defined,and the intelligent horizon-facies controlled recognition technology was worked out,which had a prediction error of reservoir thickness of less than 1.5 m.Clearly,the description accuracy of meandering channel sand bodies has been improved.The probability semi-quantitative oiliness identification method of fluid by prestack multi-parameters has been worked out by integrating Poisson’s ratio,fluid factor,product of Lame parameter and density,and other prestack elastic parameters,and the method has a coincidence rate of fluid identification of more than 90%,providing solid technical support for the exploration and development of thin reservoirs in Shengli Chengdao extra-shallow sea oilfield,which is expected to provide reference for the exploration and development of similar oilfields in China.

关 键 词：Jiyang Depression Chengdao Oilfield extra-shallow sea NEOGENE Sea and land dual-sensor prestack two-step high resolution frequency bandwidth expanding processing intelligent horizon-facies controlled recognition technology prestack seismic fluid identification 

分 类 号：P631.4[天文地球—地质矿产勘探] P618.13[天文地球—地质学]