摘要
由于黏土矿物和岩石骨架元素组分存在差异,地层泥质参数会直接影响C/O测井响应,降低了剩余油饱和度的解释精度。采用蒙特卡罗方法建立了不同泥质参数计算模型,对比分析不同泥质类型和含量时C/O和油水层C/O差值响应规律;基于不同泥质参数下的Si/Ca和Si/Fe响应规律,建立含泥质地层C/O校正方法。结果表明,泥质中O元素含量是影响C/O测井响应的主要因素。对于高岭石和伊利石型泥质,泥质含量变化对C/O值和油水C/O差值影响较小;对于绿泥石和蒙脱石型泥质,C/O值和油水C/O差值会随泥质含量增加而增加,且Si/Ca和Si/Fe随着泥质含量的增加而降低。以渤海X1井为例,经过泥质校正后的剩余油饱和度解释误差小于10%。该研究为碳氧比能谱测井中泥质类型和含量的影响规律及校正提供了依据。
Due to the differences in the composition of clay minerals and the element of rock skeleton,the formation shale parameters will directly affect the C/O logging response and reduce the interpretation accuracy of remaining oil saturation.By using the Monte Carlo method,the model for calculating shale parameters was established.Under different shale types and contents,the responses of C/O and oil-water C/O difference were comparatively analyzed.Base on the Si/Ca and Si/Fe responses under different shale parameters,the C/O correction method for shale strata was established.The results show that the content of O element in shale is the main factor affecting the C/O logging response.For kaolinite-and illite-type shales,the change in shale content has little effect on C/O and oil-water C/O difference.For chlorite-and montmorillonite-type shales,C/O and oil-water C/O difference will increase with the increase of shale content,while Si/Ca and Si/Fe will decrease with the increase of shale content.Taking Well X1 in the Bohai Bay Basin as an example,the interpretation error of remaining oil saturation after shale correction is less than 10%.This study provides a basis for influence identification and correction of shale content in C/O logging.
作者
王振
梁国武
邱飞
张锋
王俊华
WANG Zhen;LIANG Guowu;QIU Fei;ZHANG Feng;WANG Junhua(China Oilfield Services Limited,Well Tech R&D Institute,Langfang,Hebei 065201,China;China University of Petroleum,School of Geoscience,Qingdao,ShanDong,266580,China;Key Laboratory of Deep Oil and Gas,Qingdao,ShanDong 266580,China)
出处
《油气井测试》
2022年第4期23-30,共8页
Well Testing
基金
国家自然科学基金资助项目“基于伽马-伽马反符合的随钻地层元素测井方法研究”(42174147)、“致密气层快中子散射双粒子探测方法研究”(41974127)。
关键词
砂泥岩储层
泥质校正
C/O测井
含油饱和度
MCNP数值模拟
测井解释
动态范围
多元回归
sand-shale reservoir
shale correction
C/O logging
oil saturation
MCNP numerical simulation
logging interpretation
dynamic range
multiple regression
