摘要
为解决渤海A油田馆陶组低阻油层成因机理不明确、缺乏识别方法、空间展布规律认识不清等问题,从低阻油层储层基本特征出发,开展低阻油层地质主控因素分析,建立低阻油层识别方法,刻画低阻油藏分布特征。结果表明,渤海A油田馆陶组低阻油层主要是由于低能沉积环境所形成的较细的岩石特征、较高的泥质含量、复杂的孔隙结构、高含量网状分布的伊蒙混层复合作用所致,另外中等矿化度、岩石弱亲水性、低构造幅度也是低阻油层形成的次要因素;综合目标区地质特征提出四种低阻油层识别方法并建立判识标准,测井曲线重叠法通过测井曲线重叠显示幅度差进行识别,交会图版法通过不同测井参数交会图进行识别,气测录井法通过气测全烃量和烃组分完整度进行识别,神经网络模型法通过神经网络训练方法优选测井参数组合类型来识别低阻油层。研究成果可有效指导油田井位设计、降低开发风险,对其他低阻油层研究也具有一定借鉴意义。
In order to solve the problems such as unclear genetic mechanism,lack of identification methods,and unclear spatial distribution of low resistivity reservoirs in Guantao formation of Bohai A Oilfield,starting from the basic characteristics of low resistivity reservoirs,the main geological controlling factors,the identification methods and the distribution characteristics of low resistivity reservoirs are analyzed.The results show that the low resistivity reservoirs of Guantao formation in Bohai A Oilfield are mainly caused by the combination of fine rock characteristics,high shale content,complex pore structure,and high content of meshed Yimeng mixed layers formed in low-energy sedimentary environment,and followed by medium salinity,weak hydrophilicity of rocks and low structural amplitude.Based on the geological characteristics of the target area,four identification methods and standards are proposed and established.The logging curve overlap is used to identify the amplitude difference of overlapping logging curves,the cross-plot is to identify through cross plots of different logging parameters,the gas logging is to identify the total hydrocarbon content and hydrocarbon component integrity of gas logging and the neural network model is used to identify low resistivity oil layers by optimizing the combination type of logging parameters through neural network training method.The research results provide an effective guidance for the well location design,reduce the development risk,and also have a good guidance for the research of other low resistivity reservoirs.
作者
刘宗宾
陈建波
金宝强
刘建华
宋洪亮
LIU Zongbin;CHEN Jianbo;JIN Baoqiang;LIU Jianhua;SONG Hongliang(Tianjin Company,CNOOC(China)Co.,Ltd.,Tianjin 300459,China)
出处
《石油地质与工程》
CAS
2023年第2期65-72,77,共9页
Petroleum Geology and Engineering
基金
中海石油重大专项“渤海馆陶组低阻油层定量评价及高效开发技术”(CNOOC-KJ 135 ZDXM 36 TJ 01 TJ-GD 2020-02)。
关键词
低阻油层
成因机理
低能沉积环境
孔隙结构
识别方法
low resistivity reservoir
genetic mechanism
low energy sedimentary environment
pore structure
identification method
