论文部分内容阅读
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.
Rock particle size and its grain size are the main features of sedimentary rocks and are the main evaluation indexes of sedimentary environment and palaeogeographic analysis, as well as the main factors influencing the diagenetic environment and physical properties of sediments.Because PDC bits are widely used, There is a big error in the identification of lithology and grain size, restricting the further development of geological research.Combined with the core particle size analysis data, using the natural gamma ray, neutron, density, acoustic wave and resistivity curve, through logging geology analysis , Extracting M, N and its resistivity ratio of depth and resistivity sensitive to lithology and grain size of the formation, and establishing a model of sediment grain size inversion. According to the processing of on-site data and comparison with core data, the results show that the model This method can be used to inverse the grain size of sediments and provide a more accurate continuous grain boundary profile for geological research.