2 results about "Micro analysis" patented technology

The present application relates to a kind of low content component energy spectrum analysis method, belong to metallurgical dust resource utilization and material microanalysis technical field.The method includes: preparation sample exposure center section, obtain full section image by scanning electron microscope image splicing, and different analysis regions are divided;Low multiple energy spectrum area scanning is carried out in each analysis region, and the element distribution and zinc content data of multiple positions are obtained;For each analysis region, the arithmetic mean of residual zinc content is calculated as the regional representative value;Based on the characteristic data image of zinc element distribution, high multiple energy spectrum area scanning and point scanning are carried out on the characteristic micro area of zinc element aggregation to analyze the phase form and element composition of residual zinc.The present application realizes the quantitative, zoned, spatial positioning and multi-scale characterization of residual zinc content distribution and occurrence state in metallized pellet by "overall observation-zoned statistics-micro area analysis" progressive analysis, provides more accurate data support for process optimization.

The application discloses a macro-microscopic analysis method and system for displacement development based on a sand filling model, and the analysis method comprises the following steps: assembling a simulated reservoir system based on a visual two-dimensional sand filling model; obtaining a displacement image; identifying macroscopic oil saturation; and establishing a microcosmic residual oil regularity evaluation method. The macro-microscopic oil-water distribution image in the displacement process under the reservoir condition can be determined more objectively and comprehensively to measure the development effect of the reservoir, the influence of different development modes under the oilfield condition on the distribution and type of residual oil is optimized, and the injection fluid parameters are guided.