一种薄层伽马测井厚度校正方法

薄层是影响自然伽马测井的重要因素,而自然伽马曲线值的准确度又反过来制约薄层厚度识别的精度。首先采用自然伽马测井曲线校正模型来提高自然伽马曲线值的准确度,然后在此基础上建立厚度校正的数学模型,同时利用校正后的自然伽马值对薄层厚度进行校正。基于该校正方法设计的软件应用于某油田区块10多口井的薄层层段,对其进行了伽马测井值的校正,并确定了各层段的准确厚度,提高了该区薄层层段油藏测井解释和实际厚度计算的精度。

A Correcting method of GR logs for thin bed thickness

Thin bed is a key factor influencing GR logs, while in return the accuracy of the logs restricts the precision of thin- bed thickness identification. In this paper, a correcting model of GR logs is firstly adopted to improve the accuracy of GR logging values, and then on the basis of it a mathematical model of correcting thickness is established, which corrects thin - bed thickness with the corrected GR logging values. The software based on the correcting method is applied to thin - bed layers of more than 10 wells in a certain reservoir which can correct their GR logging values and identify the accurate thickness of each layer. The results prove that this method can increase the accuracy of log interpretation and calculation of factual thickness of thin - bed reservoir.