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本文叙述了关于从测井反应所能作的交会图得出的图型进行解释的技术。指出了这里所叙述的图型认识的方法,包括一些比较传统的解释方法(含水饱和度、R_(wa)、MOS、R_t/R_(xo)、F_r/F_s、等的计算),并且提出了超过这些方法的重大优点。图型认识方法的基本优点是:在没有关于孔隙度设备的校准(即:颗粒密度、基质Δt、等等);在没有关于 m、Rw 或 R_(mf)的资料;以及存在着属于测井“校准”类型的许多误差,在这些情况下,能够导出电阻率指数(含水饱和度的一个量度)。它的基本限制是,需要有达到统计学上有意义的地层层数,以及关于用于分析的地层的一些未知参数(m、Rw、等等)是合理地不变的。但是,变化的影响,或者由于一个参数或较多参数有着一个以上的数值而产生的影响,是能够预断并给以说明的。在有利的条件下,图型可以用来求出 m,基质Δt以及颗粒密度的数值;可以用来区分岩石类型;以及用来侦查和校正在测量中的校准误差。对于估价参数(即:含水饱和度、电阻率指数、等等)中的不精确度能估计出来。结论是,图型认识是在构想中的最强有力的解释方法之一。本文举出了有关上面所讨论的各点的一些实例。
This article describes the technique used to explain the patterns derived from the cross-plot of well log reactions. The methods of pattern recognition described here are pointed out and include some of the more traditional methods of interpretation (calculation of water saturation, R wa, MOS, R_t / R_ (xo), F_r / F_s, etc.) Significant advantages over these methods. The basic advantages of the pattern recognition method are that in the absence of calibration of the porosity device (ie particle density, matrix Δt, etc.), in the absence of data on m, Rw or R mf, Many of the “calibrated” types of errors, in which case the resistivity index (a measure of water saturation) can be derived. Its basic limitation is that there is a need to have statistically significant strata of formation and that some unknown parameters (m, Rw, etc.) about the strata to be analyzed are reasonably constant. However, the effects of changes, or the effects of more than one value on one or more parameters, can be predicted and explained. Under favorable conditions, the pattern can be used to derive the values of m, matrix Δt and particle density; it can be used to distinguish between rock types; and to detect and correct calibration errors in measurements. The inaccuracies in the valuation parameters (ie, water saturation, resistivity index, etc.) can be estimated. The conclusion is that pictorial awareness is one of the most powerful explanations in conception. This article gives some examples of the points discussed above.