摘要
胜利埕岛极浅海油田新近系馆陶组上段曲流河沉积相变化快,加之受极浅海地表及海水鸣震等不利因素的影响,导致常规处理的海陆双检地震资料信噪比和分辨率低,难以满足该区10 m以下薄储集层地震描述及含油流体识别的需求。应用海陆双检叠前高分辨率二级提频处理技术有效提高地震资料的信噪比和分辨率,地震主频从30 Hz提高到50 Hz,砂体厚度分辨率从10 m提升至6 m;在地震精细层控的基础上,划分出河漫滩型、天然堤型、边滩型3种地震相模式,以此建立相层双控智能识别技术,储集层厚度预测误差小于1.5 m,提高了曲流河薄储集层砂体描述的准确性;综合泊松比、流体因子、拉梅参数与密度的乘积等多个叠前弹性参数,建立叠前多参数流体概率半定量含油性地震识别,流体识别吻合率达到90%以上,为胜利埕岛极浅海油田薄储集层的勘探开发提供物探技术支撑,有望为国内类似油田的勘探开发提供借鉴。图11表2参26。
The meandering channel deposit of the upper member of Neogene Guantao Formation in Shengli Chengdao extra-shallow sea oil field 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 secondary 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 facies-layer control 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 pre-stack 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 oil field.
作者
束宁凯
苏朝光
石晓光
李治平
张学芳
陈先红
朱剑兵
宋亮
SHU Ningkai;SU Chaoguang;SHI Xiaoguang;LI Zhiping;ZHANG Xuefang;CHEN Xianhong;ZHU Jianbing;SONG Liang(China University of Geosciences(Beijing),Beijing 100083,China;Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering,China University of Geosciences(Beijing),Beijing 100083,China;Shengli College,China University of Petroleum,Dongying 257061,China;Geophysical Research Institute,Shengli Oilfield Company,Sinopec,Dongying 257022,China)
出处
《石油勘探与开发》
SCIE
EI
CAS
CSCD
北大核心
2021年第4期768-776,共9页
Petroleum Exploration and Development
基金
国家科技重大专项“胜利油田特高含水期提高采收率技术(二期)”(2016ZX050006)
中国石化科技攻关项目“薄互层地球物理特征分析及处理与解释技术研究”(P15156)
中国石化科技攻关项目“碎屑岩储层地震相模式及自动识别关键技术”(P15159)。
关键词
济阳坳陷
埕岛油田
极浅海
新近系
海陆双检
叠前高分辨率二级提频处理
相层双控智能识别
叠前地震流体识别
Jiyang Depression
Chengdao oilfield
extra-shallow sea
Neogene
double-sensor data
pre-stack high resolution frequency bandwidth expanding processing
intelligent facies-layer controlled recognition technology
prestack seismic fluid identification
