首次成功利用实时方位电阻率测量和超深三维反演进行方位井定位

A. Elkhamry, N. Clegg, A. Taher, E. Bikchandaev
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引用次数: 0

摘要

超深电磁(EM)方位测量为井位作业提供了关键数据,可以实时评估距井100英尺以上的电阻率边界。历史上,一维和二维反演显示了垂直边界的变化,但它们不能解决方位角的变化。其他3D方法缺乏实时性,或者部署成本高昂。本文介绍了用于井斜和方位轨迹校正的实时三维电磁反演集成技术,以优化井眼轨迹,提高钻高周波/高周波井的效率。三轴超深电磁井眼测井工具通过多个接收器组件提供9分量多频数据,记录井筒周围的三维电磁场。虽然原始组件数据显示了代表3D电磁场的可观察信号变化,但实时评估这些原始数据具有挑战性。因此,实施了三维电磁反演,以提供井周围地质结构和流体分布的实时三维表示。三维电磁反演算法经过优化,可以在几分钟内返回模型更新。接近实时的过程可以非常快速地做出井位决策,以帮助维持目标储层内的井眼轨迹。三维电磁反演的实时监测显示,目标储层的电阻率分布存在横向差异。在特定的井段,发现井眼右侧存在较高的电阻率。电阻率的增加被认为是储层性质的改善。井眼轨迹向右调整,可交互调整方案。在所有偏离计划的情况下,从安全性和对完井作业的潜在影响两方面对方位转弯的影响进行了评估,没有发现任何风险,并成功进行了一次转弯。使用相同的方法,井眼向左转向井趾。利用倾角优化井的TVD是很常见的,但基于LWD读数的方位变化就不那么常见了。三维反演和方位电阻率测量有助于在复杂地质构造的钻井过程中最大限度地减少井筒有效长度的损失。通过比较实际轨迹和计划轨迹的电阻率,可以评估方位角转向的有效性,估计间距为24英尺。实际的井眼轨迹被放置在具有最佳质量储层的区域,有效长度(100% NTG)没有损失。实时三维反演技术首次实现了基于超深电磁数据的方位定向,实时改变井眼方位,以改善储层的物性。基于三维反演数据,利用方位和倾角实时校正井眼轨迹的方法,确保了在复杂地质条件下的配井过程的最大效率,这些地质条件可以显示电阻率的垂直和方位变化。超深电磁工具的探测深度允许在早期做出这些决定,减少井眼轨迹的弯曲,同时在各个方向上显示电阻率边界的位置。
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The First Successful Azimuthal Well Placement Utilizing Real-Time Azimuthal Resistivity Measurements and Ultra-Deep 3D Inversion
Ultra-Deep electromagnetic (EM) azimuthal measurements provide critical data for well placement operations, allowing real-time assessment of resistivity boundaries over 100ft from the well. Historically, 1D and 2D inversions displayed vertical boundary changes, however they do not resolve azimuthal changes. Other 3D approaches lacked real-time aspect or endured costly deployment. This paper describes integration of real-time 3D EM Inversions for both inclination and azimuth trajectory corrections, to optimize well path and increase efficiency while drilling HA/HZ wells. Triaxial ultra-deep electromagnetic borehole logging tools provide 9 component multi-frequency data from multiple receiver assemblies, logging the 3D EM field around the wellbore. Although the raw component data shows observable signal changes representing the 3D EM field, evaluating this raw data in real-time is challenging. Therefore, a 3D EM inversion was implemented to provide real-time 3D representation of the geological structure and fluid distribution around the well. The 3D EM Inversion algorithm has been optimized to return model updates within a few minutes. The near real-time process allows well placement decisions to be made very quickly to help maintain the well path within the target reservoir. Real-time monitoring of the 3D EM inversion revealed a lateral disparity in the resistivity distribution for the target reservoir. In a particular interval, the presence of higher resistivity to the right-hand side of the well bore was revealed. The increase in resistivity was identified as improved reservoir properties. The trajectory of the well was adjusted to the right, interactively adjusting the plan. As with all deviations from the plan the impact of the azimuthal turn was assessed both in terms of safety and the potential impact on running the completion, no risks were identified, and a successful turn was conducted. Using the same methodology, a turn to the left of the well bore was conducted towards the toe of the well. Optimizing a wells TVD with inclination is common, but azimuthal changes based on LWD readings are much less so. The 3D Inversion and azimuthal resistivity measurements helped to minimize the loss of the effective length of the wellbore during the drilling in a complex geological structure. The effectiveness of the azimuthal turn can be assessed by comparing the resistivity of the actual and planned trajectories, estimated to have a 24-foot separation. The actual trajectory was placed in a zone with optimum quality reservoir without loss of the effective length (100% NTG). Real-time 3D Inversion has enabled for the first time the ability to steer azimuthally based on Ultra-deep EM data, changing the hole azimuth in real-time to target improved reservoir properties. The method of correcting the well path with azimuth as well as inclination in real-time based on 3D Inversion data ensures maximum efficiency for the well placement process in complex geology which can show vertical and azimuthal variations in resistivity. The depths of detection possible with Ultra-Deep EM tools allows these decisions to be made early reducing tortuosity of the well path while revealing the position of resistivity boundaries in all directions.
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