哈维三维岩石物理:案例研究

A. Kolomytsev, GazpromNeft, Y. Pronyaeva, Schlumberger
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引用次数: 0

摘要

大多数传统的测井解释技术使用径向模型,该模型是为直井开发的,在直井中效果很好。但将该模型应用于水平井可能会得出错误的结论。造成这种情况的原因是垂向性质的变化和测井工具的不同探测深度(DOI)。DOI区域可能包含来自具有不同属性的不同层的响应。所有这些都使岩石物理建模变得复杂。大角度井评价(HAWE)的三维方法是三维正演建模。在该模型中,需要利用多尺度数据识别水平井段附近的地质概念。建模的准确性取决于基于井眼图像、测井、地质导向反演和地震数据的可接受地质模型的细节。3D建模可以用于提高储层特征、井位和完井的准确性。径向模型对于HAWE通常是无用的,因为随钻工具的DOI不同,并且没有形成侵入区。但是体积测量和方位角测量之间的差异对于综合解释很重要,因为不同的地层在垂直方向上具有不同的性质。电阻率工具的DOI最大。理解并能够确定日志响应变化的原因非常重要:当前层的属性发生变化,或者使用其他属性接近这些层。为此,有必要知道具有各种性质的地层边界的距离,从而了解已发现矿床的地质结构,这些信息可以通过建模或使用超深电阻率反演(填图)来获得。建模需要最大量的多学科信息——从图像和日志到地图和地震数据。案例研究包括西西伯利亚碎屑地层的成功案例。在这些案例中,解决了不同的任务:开发地质概念,更新STOIIP和完井的岩石物理性质,并在地质导向过程中提供解决方案。多尺度建模,包括地震、地质导向测绘数据、随钻测井和成像仪,已用于所有情况。
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3D PETROPHYSICS FOR HAWE: CASE STUDIES
Most conventional log interpretation technics use the radial model, which was developed for vertical wells and work well in them. But applying this model to horizontal wells can result in false conclusions. The reasons for this are property changes in vertical direction and different depth of investigation (DOI) of logging tools. DOI area probably can include a response from different layers with different properties. All of this complicates petrophysical modeling. The 3D approach for high angle well evaluation (HAWE) is forward modeling in 3D. For this modeling, it is necessary to identify the geological concept near the horizontal well section using multiscale data. The accuracy of modeling depends on the details of the accepted geological model based on the data of borehole images, logs, geosteering inversion, and seismic data. 3D modeling can be applied to improve the accuracy of reservoir characterization, well placement, and completion. The radial model is often useless for HAWE because LWD tools have different DOI and the invasion zone was not formed. But the difference between volumetric and azimuthal measurements is important for comprehensive interpretation because various formations have different properties in vertical directions. Resistivity tools have the biggest DOI. It is important to understand and be able to determine the reason for changes in log response: a change in the properties of the current layer or approaching the layers with other properties. For this, it is necessary to know the distance to the boundaries of formations with various properties and, therefore, to understand the geological structure of the discovered deposits, and such information on the scale of well logs can be obtained either by modeling or by using extra deep resistivity inversion (mapping). The largest amount of multidisciplinary information is needed for modeling purposes - from images and logs to mapping and seismic data. Case studies include successful examples from Western Siberia clastic formations. In frame of the cases, different tasks have been solved: developed geological concept, updated petrophysical properties for STOIIP and completion, and provided solutions during geosteering. Multiscale modeling, which includes seismic, geosteering mapping data, LWD, and imagers, has been used for all cases.
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REAL-TIME ENSEMBLE-BASED WELL-LOG INTERPRETATION FOR GEOSTEERING USING HIGH FIDELITY CONTINUOUS CORE DATA FOR A FAST AND OBJECTIVE ESTIMATION OF RESERVOIR QUALITY A NEW LOOK AT THE DUAL DEPTH OF INVESTIGATION OF LWD PROPAGATION RESISTIVITY LOGGING DEEP-LEARNING-BASED AUTOMATED SEDIMENTARY GEOMETRY CHARACTERIZATION FROM BOREHOLE IMAGES REAL-TIME 2.5D INVERSION OF LWD RESISTIVITY MEASUREMENTS USING DEEP LEARNING FOR GEOSTEERING APPLICATIONS ACROSS FAULTED FORMATIONS
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