测井资料在沉积物粒序反演中的应用

岩石颗粒大小及其粒序是沉积岩主要特征, 是沉积物沉积环境和古地理分析的主要评价指标.同时, 也是影响沉积物成岩环境及其物性的主要因素.由于PDC钻头的广泛应用, 使得录井岩性及其粒级的识别存在较大的误差, 制约了地质研究的深入开展.结合岩心粒度分析资料, 利用自然伽马、中子、密度、声波及电阻率曲线, 通过测井地质分析, 提取对地层岩性及粒度响应灵敏的M、N及其深浅电阻率比值等参数, 建立了反演沉积物粒度的模型, 根据现场资料的处理以及与岩心资料的对比, 结果表明, 该模型能够较好地反演沉积物的粒度, 为地质研究提供较为准确的连续粒序剖面. 

Application of Logging Data to the Sediment Size-Grading Inversion

Rock particle-size and grading are the main features of sedimentary rocks, and also the main indicators to evaluate the deposition environment and ancient geographical analysis of the sediment. Meanwhile, it's also the controlling factors that influence sediment's diagenetic environment and physical property. Because of the widely use of PDC bit, there is a greater error between logging lithology and size grade, which has restricted the further development of geologic research. By utilizing GR, CNL, DEN, DT and resistivity curves, we abstract the parameters M, N, which is sensitive to particle size and lithology, and another parameters-the ratio of deep resistivity and shallow resistivity, combining with the particle-size analysis data of core. Then, we establish the inversion model for particle size of sediment through logging geology analysing. The field data processing and contrast of core data has proved this model feasible in inverting the sedimentary particle-size, and providing a sequential size graded profile.