斯伦贝谢（Schlumberger）公司是全球最大的油田技术服务公司，公司总部位于休斯顿、巴黎和海牙，在全球140多个国家设有分支机构。公司成立于1927年，现有员工130000多名，2006年公司收入为192.3亿美元，是世界500强企业。 斯伦贝谢科技服务公司(SIS) 属于斯伦贝谢油田服务部，是石油天然气行业公认的最好软件和服务供应商。 斯伦贝谢也是一家全球化的技术服务公司，总部设在休斯顿，并在巴黎和海牙成立准总部机构。斯伦贝谢共有来自140多个民族的118000余名员工，在世界的85个国家开展工作。 斯伦贝谢早在1980年就进入中国石油行业开展油田服务业务，在中国现有4400多名员工，其中90%以上为本地员工 。斯伦贝谢在中国境内设立了8个作业基地（库尔勒，克拉玛依，成都，蛇口，塘沽，大庆，靖边和定边）、两个制造中心（上海和天津）、两个办事处（北京和乌鲁木齐），为中国陆上和海上提供综合作业服务。斯伦贝谢于2000年在北京清华科技园正式成立了北京地球科学中心（BGC），该中心是斯伦贝谢油田服务主要的技术开发中心之一。BGC开发的地质力学和岩石物理分析软件以及先进的解释和处理技术在全世界得到了广泛的应用，帮助优化油气开采并降低风险。
ABSTRACT Heterogeneous reservoirs, especially shaly formations, are challenging in reservoir characterization. Porosity and fluid distribution vary in both vertical and lateral directions. High‐resolution oil‐based mud (OBM) conductivity images are commonly acquired to help to reveal formation conductivity heterogeneities, azimuthally and vertically. With calibrated formation conductivity from the conductivity images, water‐filled porosity () 2D images may be obtained by using Archie type models, provided formation shaliness, water salinity and Archie parameters are given. In megahertz electromagnetic (EM) wave frequencies where the OBM imager is operating, porous rock interfacial polarization is very complex. Factors such as water‐filled porosity (), water salinity, water phase tortuosity () and the connection of the pores interact among themselves non‐linearly and all contribute to the overall responses of rock conductivity and dielectric permittivity. For example, for the same , higher will result in a decrease in rock conductivity. This can be confusing with a decrease in if rock dielectric permittivity is not taken into consideration. This non‐linear interaction among the rock parameters is not captured by the Archie model properly, especially in complex pore systems with high interfacial polarization such as in carbonate and shaly rock types. The latest generation of OBM imager can derive both conductivity and permittivity images. However, due to the lack of quantitative characterization, use of those images is greatly limited to relative image feature identification and extraction. In this article, for the first time, we provide a multi‐kernel electrical image quantification scheme and develop a workflow to derive and images, in 2D, independent of the Archie model. The workflow takes advantage of a high‐resolution pad‐based conductivity and permittivity imager, which operates at tens of megahertz, and a multifrequency dielectric tool, which operates at a wide range of frequencies ranging from tens of megahertz up to gigahertz. The OBM imager can provide high‐resolution conductivity and dielectric permittivity 2D images through advanced inversion processing, once the following challenges below are resolved: Understand rock responses at tens of megahertz and identify key constraint rock parameter configurations for deriving 2D images of and . Characterize the OBM imager processing bias and its impact on the dielectric rock model inversion. Evaluate compatibility between the OBM imager and the multifrequency dielectric tool data that provide the key rock parameters. To quantify the OBM imager processing, a multi‐kernel method is used on synthetic rocks covering a wide range of rock parameters. Exploratory data analysis is applied to better understand the relationships between rock parameters and OBM imager processing bias and its impact on dielectric rock model inversion. Uncertainty study is used to identify key rock parameters in deriving and images at the imager's frequency. The synthetic data results are further verified on the laboratory core plugs. This workflow is generic in clean formation and can apply to all the rock resistivity ranges, including resistivity below 1 ohm m.
