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Invasion in the Time Domain from LWD Resistivity: An Untapped Wealth of Information

机译:从LWD电阻率的时域入侵:未开发的信息丰富

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Petrophysical evaluation is normally carried out using depth-indexed logs. This is sometimes supplemented with time data from stations (such as formation pressure measurements and NMR stations). The depth-based data may be complemented by a short repeat section designed to confirm the results (depth data acquired at a different time). This depth-based approach is applied to both logging while drilling (LWD) and wireline data sets. With wireline logging and interpretation, environmental conditions are relatively stable over the period of logging. The same cannot be said for acquiring data with the drilling assembly, i.e., LWD. The LWD data is acquired in a very dynamic environment (both physically and in terms of fluid movement). Variable rates of penetration lead to variable times after bit. However, the drilling process is not constant with depth. The BHA is moved up and down over many parts of the formation multiple times. In addition, the BHA is held stationary at different points (e.g., for connections). The result is a complex set of invasion profiles. Invasion modeling is shown to demonstrate the impact of the dynamic conditions during drilling on the invasion / resistivity responses. LWD tools acquire data with a time index and record data over most of the time the BHA is in the borehole (all when batteries are present). Depth-indexed data is extracted from the larger time-indexed acquisition data set. The time-indexed data is rarely requested or presented for evaluation. However, these time-indexed measurements contain great potential for understanding the reservoir. The opportunity exists to use stationary LWD data as a direct dynamic measurement of the formation and movement of fluids. These dynamic measurements can provide information on the quality of the mudcake at the time of measurement. There are also conditions where flow rates and, by inference, formation permeability can be derived from these time-based measurements (i.e., effectively injection logs while drilling). The examples shown illustrate some of the untapped potential that exists with every LWD data acquisition run. Significant opportunities exist with this time-based data, from enhanced quality measurements to the interpretation of dynamic downhole data.
机译:通常使用深度索引的日志进行岩石物理评估。这有时补充来自站的时间数据(例如形成压力测量和NMR站)。可以通过旨在确认结果的短重复部分(在不同时间获取的深度数据)互补的基于深度的数据。在钻孔(LWD)和有线数据集时,这种基于深度的方法应用于记录。随着有线测井和解释,在伐木时期的环境条件相对稳定。通过钻井组件,即LWD可以说是相同的。 LWD数据在非常动态的环境中获得(物理上和流体运动方面)。渗透率的可变速率导致比特后的可变时间。然而,钻井过程与深度不恒定。 BHA多次在地层的许多部分上移动。此外,BHA在不同点(例如,连接)保持静止。结果是复杂的入侵概况集。入侵建模显示在钻探入侵/电阻率响应期间展示动态条件的影响。 LWD工具在大多数情况下通过时间索引和记录数据的数据获取数据,并且在BHA在钻孔中(存在电池时所有的时间)。从更大的时间索引采集数据集中提取深度索引数据。时间索引数据很少请求或呈现用于评估。然而,这些时间索引测量含有理解水库的巨大潜力。有机会使用静止的LWD数据作为流体形成和移动的直接动态测量。这些动态测量可以提供有关测量时泥浆的质量的信息。还可以从这些时间的测量结果导出流量和推断的流量和推断的条件(即,在钻井时有效地注入日志)。所示的示例说明了每个LWD数据采集运行存在的一些未开发的潜力。基于时间的数据存在重大机会,从增强的质量测量到动态井下数据的解释。

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