论文部分内容阅读
在地层孔隙度比较低的情况下,由于受放射性统计涨落以及地层中其它核反应所产生的伽马射线的影响,传统的碳氧比能谱测井解释的分辨率不高。这些伽马射线形成了碳氧比能谱测井的本底,本底越高,碳氧比值精度越差。因此,必须设法降低本底值来提高谱线的分辨率。本文通过反褶积技术来提高谱线的分辨率,应用修正的高斯函数作为系统响应函数对测井曲线进行反褶积;采用修正的 Blackman 窗函数来消除放射性统计涨落的高频噪声,通过实际资料验证,利用“反褶积-开窗”法对碳氧比能谱测井的谱线进行处理以及用变系数法求取非弹性散射伽马谱,提高了测井资料对油、水储集层的分辨率,对油田的合理开发及油藏管理具有重要的现实意义。
In the case of relatively low porosity, the resolution of traditional C / O log interpretation is not high due to the statistical fluctuations of radioactivity and the gamma rays generated by other nuclear reactions in the formation. These gamma rays form the background of C / O logging, and the higher the background, the poorer the C / O accuracy. Therefore, we must try to reduce the background value to increase spectral resolution. In this paper, the deconvolution technique is used to improve the resolution of spectral lines. The modified Gaussian function is used as the system response function to deconvulate the logging curve. The modified Blackman window function is used to eliminate the high frequency noise of statistical fluctuations. The actual data validation, the use of “deconvolution - fenestration ” method of carbon and oxygen than spectral spectroscopy log line processing and variable coefficient method for inelastic scattering gamma spectrometry, improve the logging data on the oil , The resolution of water reservoir has important practical significance for the rational development of oilfield and reservoir management.