云上的高性能计算成功应用于三维地质导向和随钻储层测绘

D. Salim, M. Thiel, Beate Nesttun Øyen, Kong Bakti Tan, J. Denichou, Vera Krissetiawati Wibowo, Desheng Zhang, K. Harms, M. Etchebes, F. Antonsen, Maria Emilia De Oliveira
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引用次数: 0

摘要

在地质解释、储层结构识别、储层性质和流体分布等方面的不确定性,可能会对目标储层水平井的成功钻探造成挑战。在任何开发领域,优化大角度井的井位以拦截甜点对于总油气采收率都是至关重要的。因此,实施地质导向领域,提供实时储层测绘特征以及定向控制,以实现关键性能目标。过去,在地质导向领域已经引入了许多创新技术,其中包括最近的深电磁定向电阻率工具,该工具可以在钻井时提供1D地层电阻率测绘。然而,尽管可以提供距离井眼几十米的油藏结构的多层图,但这种类型的反演可能会限制实时解释。由于这是一种一维方法,这些反转在垂直轴上映射电阻边界,并在所有其他方向上假设无限延伸。因此,在复杂的地质环境中,一维近似可能无法正确描述储层结构。本文介绍了随钻二维方位角电阻率反演是如何引入的,并详细介绍了随钻井下测井(LWD)测量数据传输领域所需的各种创新,以及主要通过使用高性能云计算来适应实时部署的反演方法。最后实现的是自动化工作流程的执行,在钻井作业的周转时间内,将这些先进的反演数据传输到集成的3D地质建模软件中。这项新技术可以在钻井过程中更好地了解三维地质环境和流体分布,并提供所需的信息,为地质导向决策提供支持,以实现最佳井位。最初的现场部署在水平井中取得了成功,这里给出了三个例子。这些使用线钻管或泥浆脉冲遥测技术的实际案例表明,将2D方位反演集成到当前的地质导向工作流程中,可以在钻井时提供完整的油藏3D结构信息。该沟通文件详细记录了这种方法如何以实时3D油藏测绘的形式提高作业效率,支持对原始井进行战略调整,使其转向位于计划轨迹外侧的最佳位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Performance Computing on the Cloud Successfully Deployed for 3D Geosteering and Reservoir Mapping While Drilling
The successful drilling of horizontal wells targeting reservoir zones of interest can be challenged by uncertainties in geological interpretation, identification of structure, and properties of reservoirs and fluid distribution. Optimizing the well placement of high-angle wells in order to intercept the sweet spots is crucial for the total hydrocarbon recovery in any development field. Thus, the geosteering domain was implemented to provide in real time a reservoir mapping characterization together with directional control to achieve the key performance objectives. In the past, many innovative technologies have been introduced in geosteering discipline, among them lately the deep EM directional resistivity tool that provides 1D formation resistivity mapping while drilling. However, despite the fact of delivering a multilayer mapping of the reservoir structure up to tens of meters away from wellbore, the real-time interpretation can be limited by this type of inversion. Since it is a 1D approach, these inversions map resistive boundaries on the vertical axis and assume infinite extend in all other directions. Consequently, in a complex geological setting, 1D approximation may fall short of properly describing the reservoir structure. This communication describes how the introduction of the 2D azimuthal resistivity inversions while drilling was conducted and details the various innovations required in the domains of downhole logging while drilling (LWD) measurements transmission in addition to adaptation of inversion methodology for real-time deployment, mainly through the use of high-performance cloud computing. The final enablement was the execution of automated workflows to process and deliver these advanced inversions into an integrated 3D geomodelling software within the turnaround time of drilling operations. This novel technology provides, while drilling, a better understanding of the 3D geological environment and fluid distribution with a deep depth of investigation, as well as the required information to make support for geosteering decisions for optimal well positioning. Initial field deployments were successfully conducted in horizontal wells, and three examples are presented here. Those real cases, executed with wire-drilled-pipe or mud-pulse telemetries, demonstrated the benefits of integrating 2D azimuthal inversions into the current geosteering workflow to provide a complete 3D structural understanding of the reservoir while drilling. This communication documents in detail how such an approach led to operational efficiency improvements in the form of 3D reservoir mapping in real-time, supporting a strategic change in the original well to turn toward the sweet spot, which was located sideways from the planned trajectory.
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