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Interpretation of Asymmetrically Invaded Formations with Azimuthal and Radial LWD Data

机译:用方位角和径向随钻测井数据解释非对称侵入地层

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In permeable, dipping formations, invasion of drilling fluid is often asymmetric because of gravity slumping of the filtrate. This effect can be observed within less than an hour of the bit penetrating a highly permeable, gas-bearing formation. Accurate interpretation of log data in such environments requires a technique that accounts for both azimuthal and radial distribution of filtrate. Logging-while-drilling (LWD) measurements, when rotated through the zone of interest, offer the data necessary to evaluate such formations. The interpretation process used combines azimuthal nuclear data with azimuthal and radial resistivity data to compute accurate values of porosity, water saturation and mineralogy.rnFirst, resistivity data are inverted for R_(x0) (flushed zone resistivity), R_t (true resistivity) and D_l (diameter of invasion) in four directions. Next, the different values of D_i are used to compute individual invasion scalars for density and neutron log data based on their radial response functions. This is possible because the resistivity measurements used are similar in radial response to the density and neutron radial responses. Then, the log data and invasion scalars are entered into a petrophysical solver for the final results. The invasion scalars assist the solver in determining the magnitude of the hydrocarbon correction required, which is especially important in gas zones. Full correction of log data provides results that are in close agreement with core data.rnUnderstanding the effects of gas in three dimensions helps explain "lazy" neutron curves. In gas zones, the density log is highly affected by varying invasion, where as the neutron has an almost constant gas effect that is relatively independent of invasion as predicted by modeling.
机译:在渗透性的,浸入的地层中,由于滤液的重力塌陷,钻井液的侵入通常是不对称的。在钻头穿透高度可渗透的含气地层不到一小时内,即可观察到这种效果。在这样的环境中对日志数据的准确解释需要一种解决滤液方位角和径向分布的技术。随钻测井(LWD)测量值在穿过感兴趣的区域旋转时,可提供评估此类地层所需的数据。所使用的解释过程将方位核数据与方位电阻率和径向电阻率数据相结合,以计算出孔隙度,水饱和度和矿物学的准确值。rn首先,将电阻率数据的R_(x0)(流域电阻率),R_t(真实电阻率)和D_1进行反演(入侵直径)在四个方向上。接下来,D_i的不同值用于基于其径向响应函数来计算密度和中子测井数据的各个侵入标量。这是可能的,因为所使用的电阻率测量值在径向响应方面与密度和中子径向响应类似。然后,将日志数据和入侵标量输入岩石物理求解器以获得最终结果。侵入标量可帮助求解器确定所需的碳氢化合物校正量,这在气体区域中尤其重要。对记录数据的完全校正可提供与核心数据非常吻合的结果。rn了解三个维度上的气体效应有助于解释“惰性”中子曲线。在气体区域中,密度测井受入侵程度变化的影响很大,因为中子具有几乎恒定的气体效应,而气体效应相对独立于建模所预测的入侵。

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