中子测井定量监测CO2数值模拟研究

Numerical Simulation on Quantitatively Monitoring CO2 by Neutron Logging Technology

  • 摘要: 在“双碳”愿景下,CCUS(carbon capture, utilization and storage)技术成为我国减少CO2排放、保障能源安全和实现可持续发展的关键手段,而定量评价CO2含量是CCUS技术中亟需解决的问题。本研究基于中子在地层中的扩散理论,分析了中子反应截面和减速长度等参数定量评价CO2的方法,利用蒙特卡罗方法建立计算模型,模拟快中子在含CO2和CH4地层介质的作用过程,研究快中子散射截面、宏观俘获截面及减速长度等参数与CO2和CH4饱和度的变化关系,结果表明,在一定孔隙度条件下,减速长度相比快中子散射截面和宏观俘获截面在识别CO2和CH4的动态变化灵敏度更高,且区分CH4和CO2混合流体的响应更明显。研究结果为利用D-T中子源和多探测器测井仪定量评价CO2仪器设计和数据处理方法奠定基础,对发展CCUS技术具有重要意义。

     

    Abstract: Under the vision of “dual-carbon”, CCUS (carbon capture, utilization and storage) technology has become a key means to reduce CO2 emission, ensure energy security and realize sustainable development in China, while quantitatively evaluating CO2 content is an urgent problem in CCUS technology. This paper, based on the theory of neutron diffusion in the formation, analyzes methods for quantitatively assessing CO2 using neutron reaction cross-sections and deceleration length. Using the Monte Carlo method, a computational model was established to simulate the interaction of fast neutrons with CO2 and CH4-bearing stratigraphic media, and to study the variation rules of parameters such as scattering cross section, macroscopic capture cross section, and deceleration length of fast neutrons and the saturation degree of CO2 and CH4, in order to screen the neutron logging methodology of quantitative evaluation of CO2. The simulation results show that under certain porosity conditions, the deceleration length is more obvious than the fast neutron scattering cross section and macroscopic capture cross section in recognizing the dynamic changes of CO2 and oil and water, and it can distinguish between CH4 and CO2. These findings provide a foundation for designing instruments and data processing methods for quantitative CO2 evaluation using D-T neutron sources and multi-detector logging systems, which is of significant importance for the development of CCUS technology.

     

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