地层水矿化度检测的地球物理测井方法

传统的水文地质研究方法在进行地下水的矿化度评价时，是通过地层水的取样进行室内分析化验，确定含水岩组中地层水的矿化度，目前，在利用已有的地质、地球物理资料进行西部地下水资源评价的研究中，鉴于大多数石油井不含有浅层地层水的水样化验资料，因而本文介绍一种利用石油测井数据（主要为自然电位曲线）计算地层水矿化度的方法，并将之应用于鄂尔多斯白垩系自流水盆地地层水的矿化度估算，方法研究和应用实例证明这种方法是较为可靠的，虽然求取的地层水的矿化度的数值存在一定的误差，但完全可以满足地层水矿化度分级评价的需求，从而开发了石油测井数据在水文地质中的应用，也降低了单纯利用水文取样，由于样点少，矿化度预测精度低的缺点。

A Geophysical logging Method to Detect the Water Mineralization Intensity Underground

The mineralization intensity is the key factor to determine the water quality. In the field of geological hydrology, the quality estimation of the underground water is mainly the results of drilling and chemical examination of the water samples. At present, we focus our research on the underground water resource based on petroleum geophysical data sampled before. However, there is no information about the chemical examination of underground water because the target of the petroleum exploration is the oil and gas. So we introduce a petroleum logging method here to estimate the mineralization intensity of underground water. After analyzing various logging curves, the data of spontaneous electric potent (SP) can be employed to calculate the resistivity of underground water and then the mineralization intensity can be given from the temperature, mineralization intensity and resistivity relation (Schlumberg Logging Co.). After application of the introduced method on 8 wells in the Ardos Basin, the reliability and reality can be proved through the comparison between estimated results and the samples' tests in experiment. All that means that we can get the mineralization intensity without water sampling, and accelerate the process of water quality estimation in the whole area.