超前电阻率测井技术在克拉斯诺连宁斯科油田复杂地质条件下的首次应用

M. Sviridov, Yuriy Antonov, R. Kotov, I. Nikulina, V. Baranov
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引用次数: 0

摘要

秋明组是西伯利亚西部Krasnoleninskoe凝析油气田的主要含油饱和层。该地层的特点是构造倾角变化明显,为薄层互层的页岩和砂岩层。这样的地层结构使实时评价地层性质、井对比和适当的井眼布置变得复杂。本文介绍了克拉斯诺列宁斯科油田采用先进电阻率测井技术进行水平井钻井的效果。先进的电阻率测井技术应用于各种野外作业。该技术包括随钻测井(LWD)、深部方位电阻率工具和复杂的数据解释软件。该工具可在井下进行多分量、多间距、多频率的测量。测量集可以针对每种特定的地质和应用类型单独配置,以确保有效的操作。接下来,将这些测量数据传输到地面,在地面上进行高性能多参数反演,实时恢复感兴趣的地层参数。该反演软件可以处理任意组合的工具测量数据,并且基于任意层数的1D层饼模型,可以处理复杂的多层地层。除了秋明地层复杂的层状结构外,另一个挑战是页岩和砂岩夹层之间的低电阻率对比。这是西伯利亚西部许多油田的典型因素;它使中间层的分辨率变得复杂,降低了中间层参数的评估精度。为了克服这些挑战,在钻井过程中识别并传输了一套适用于薄层地层的深方位角电阻率测量工具。在用户控制模式下进行实时反演,确保对地质变化的精确跟踪。这些结果使作业地质学家能够在钻井过程中监测地层性质。数据反演软件保证了Krasnoleninskoe油田复杂条件下储层性质的准确评价和构造倾角的准确估计。反演得到的构造倾角与邻井观测值有显著差异,即5 ~ 12度,而不是0 ~ 2度。实测电阻率与合成电阻率数据吻合良好,反演结果可信度高。此外,利用电阻率数据估算的构造倾角与随钻自然伽马射线(GR)成像的构造倾角具有很强的相关性。在GR曲线中观测到的许多页岩和砂岩层均通过电阻率反演进行了解析。在作业过程中对远程层探测深度进行估计;它使地球科学家能够描绘出储层的体积,从而为工具测量做出贡献。本案例描述了先进电阻率测井技术在Krasnoleninskoe油田复杂层状地层中的首次应用。该技术能够实时解析薄夹层,评估其性质并估计结构倾角。这些参数对于合理的井位和准确的岩石物理解释非常重要。该技术能够提高俄罗斯西西伯利亚油田复杂层状地层的采收率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First Application of Advanced Resistivity Logging Technology for Real-Time Evaluation of Formation Properties and Structural Dips Estimation in Complex Geology of Krasnoleninskoe Field
The Tyumen formation is the main hydrocarbon-saturated layer of the Krasnoleninskoe oil and gas condensate field located in Western Siberia. This formation is characterized by significantly changing structural dips and represented as thin, interbedded shale and sandstone layers. Such a formation structure complicates the real-time evaluation of formation properties, well correlation and proper well placement. This paper presents the results of horizontal well drilling at the Krasnoleninskoe field using advanced resistivity logging technology. Advanced resistivity logging technology is used in field operations for various applications. This technology includes logging-while-drilling (LWD), a deep-azimuthal resistivity tool, and sophisticated data interpretation software. The tool performs multi-component, multi-spacing and multi-frequency measurements downhole. The measurement set can be configured individually for each particular geology and application type to ensure effective operations. Next, these measurements are transmitted to the surface, where high-performance multi-parametric inversion recovers formation parameters of interest in real-time. The inversion software enables the processing of any combination of tool measurements and is based on a 1D layer-cake model with an arbitrary number of layers to operate with complex multi-layer formations. Besides the complex laminated structure of the Tyumen formation, an additional challenge is the low resistivity contrast between the shale and sandstone interlayers. This factor is typical for many West-Siberian fields; it complicates the resolution of interlayers and degrades the evaluation accuracy of their parameters. To overcome these challenges, a set of deep-azimuthal resistivity tool measurements, suitable to resolve thinly laminated formations, was identified and transmitted uphole while drilling. Real-time inversion was performed in a user-controlled mode to ensure the careful tracking of geology changes. These results enabled operational geologists to monitor the formation properties during the drilling. Data inversion software ensured the accurate evaluation of formation properties and structural dips estimation in complex conditions of the Krasnoleninskoe field. Structural dips recovered by inversion significantly differed from values observed at offset wells, i.e., 5 to 12 degrees, instead of 0 to 2 degrees. A perfect match between the measured and synthetic resistivity data confirmed high confidence of inversion results. Moreover, there was a strong correlation between the structural dip angles estimated from resistivity data and derived from LWD natural gamma-ray (GR) image. Many of shale and sandstone layers observed in the GR curves were resolved by resistivity inversion. The depth of the remote layer detection was estimated during the job; it enabled geoscientists to delineate the reservoir volume that contributed to the tool measurements. This case study describes the first application of advanced resistivity logging technology in a complex laminated formation of the Krasnoleninskoe field. This technology enables the resolution of thin interlayers, evaluation of their properties and estimation of structural dips in real time. These parameters are important for proper well placement and accurate petrophysical interpretation. The presented technology is able to increase the efficiency of oil recovery in the complex laminated formations of the Russian West-Siberian fields.
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