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NANOTAGS FOR IMPROVED CUTTINGS DEPTH CORRELATION

机译:用于改进的切割深度相关性的纳米架

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During a drilling operation, rock cuttings are often sampled off a shale shaker for lithology and petrophysical characterization. These analyses play an important role in describing the subsurface; and it is important that the depth origin of the cuttings be accurately determined. Traditionally, mud-loggers determine the depth origin of the sampled cuttings by calculating the lag time required for the cuttings to travel from the bit to the surface. These calculations, however, can contain inaccuracies in the depth correlation due to the shuffling and settling of cuttings as they travel with drilling fluid to the surface, due to unplanned conditions like drilling an overgauge hole, and due to other unforeseen drilling events, especially critical in horizontal sections. We therefore aimed to remedy these inaccuracies by developing a series of styrene-based nanoparticles that tagged the cuttings as they were generated at the drillbit. These “NanoTags” were tested while drilling in Q4, 2019; and the results indicated that the NanoTags did in fact have the potential to identify some systematic errors compared with traditional mud logging calculations.
机译:在钻孔操作期间,岩石切割通常会从页岩振荡器上抽出以进行岩性和岩石物理表征。这些分析在描述地下发挥了重要作用;重要的是,切割的深度起源是准确确定的。传统上,泥浆记录器通过计算切割从钻头到表面行进所需的滞后时间来确定采样的切屑的深度来源。然而,由于随着钻孔的情况下,由于钻孔的情况,这些计算可以含有由于钻孔的钻孔和钻井而沉降而存在的深度相关性的不准确性。在水平部分。因此,我们旨在通过开发一系列基于苯乙烯的纳米颗粒来解决这些不准确的纳米颗粒,这些纳米颗粒在钻头在钻头产生时标记了扦插。在2019年Q4钻探的同时测试了这些“纳米架”;结果表明,与传统的泥浆测井计算相比,纳米塔格实际上有可能识别一些系统误差。

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