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    • 3. 发明授权
    • Process for preventing ecological contamination due to radioactive
ruthenium, molybdenum or technetium
    • 防止放射性钌,钼或锝引起的生态污染的过程
    • US4092265A
    • 1978-05-30
    • US727468
    • 1976-09-28
    • John M. LongoEdward T. Maas, Jr.
    • John M. LongoEdward T. Maas, Jr.
    • G21F9/02
    • G21F9/02
    • Radioactive ruthenium, molybdenum and technetium which are by-products of the fission of U.sup.235 are prevented from contaminating the environment during nuclear fuel reprocessing procedures by passing the radioactive ruthenium, molybdenum and/or technetium oxides over a trapping agent selected from the group consisting of alkaline earth compounds, lanthanide compounds and lead compounds at a temperature of over 500.degree. C. leading to the formation of nonvolatile ruthenates, molybdates and technetates. By this process volatile radioactive RuO.sub.4, MoO.sub.3 and Tc.sub.2 O.sub.7 are kept from escaping into the atmosphere during nuclear fuel reprocessing. The stable ruthenates, molybdates and technetates thus formed can then be easily isolated and contained during the period of maximum radioactive decay.
    • 通过使放射性钌,钼和/或锝氧化物通过选自碱性的捕获剂,防止在核燃料后处理过程中作为U235的裂变副产物的放射性钌,钼和锝污染环境 地球化合物,镧系元素化合物和铅化合物在500℃以上的温度下导致形成不挥发性的钌酸盐,钼酸盐和锝。 通过这种方法,在核燃料再加工过程中,挥发性放射性RuO4,MoO3和Tc2O7不会逸出大气。 由此形成的稳定的钌酸盐,钼酸盐和锝酸盐可以在最大放射性衰变期间容易地分离和包含。
    • 8. 发明申请
    • Methods for quantitative lithological and mineralogical evaluation of subsurface formations
    • 地下地层定量岩性和矿物学评价方法
    • US20070246649A1
    • 2007-10-25
    • US11589374
    • 2006-10-30
    • David J. JacobiJohn M. Longo
    • David J. JacobiJohn M. Longo
    • G01V5/10
    • G01V5/101G01V5/12
    • Methods, systems, apparatus and processes for determining the lithology as well as the mineralogy of subterranean formations surrounding a borehole are described. According to the methods and processes, well log data measurements from neutron spectroscopy applications and associated tool response parameters are solved using an artificial intelligence system, such as an expert system, which in turn generates an appropriate discriminator and/or compositional model that estimates both general and specific lithology as well as the mineralogy constraints of the subterranean formation being analyzed. The methods exhibit good elemental correlation between conventional methods of lithology and mineralogy determination, and can provide numerous output data, including grain density and porosity data within zones of the formation.
    • 描述了用于确定岩石周围以及围绕钻孔的地下地层的矿物学的方法,系统,装置和方法。 根据方法和过程,使用诸如专家系统的人造智能系统来解决来自中子光谱应用和相关工具响应参数的测井数据测量,所述人工智能系统又产生适当的鉴别器和/或组合模型, 和特定的岩性以及正在分析的地下岩层的矿物学约束。 该方法在常规的岩性和矿物学测定方法之间表现出良好的元素相关性,并且可以提供许多输出数据,包括地层区域内的颗粒密度和孔隙度数据。