Method for quantitatively evaluating migration rate of elements in coal in high-temperature simulation process

Abstract

The invention discloses a method for quantitatively evaluating the migration rate of elements in coal in a high-temperature simulation process, and is suitable for the field of coal geology and geochemistry. The method comprises the following steps: taking low-rank coal with rich elements and high element content, carrying out simulation experiments on the low-rank coal under different temperature conditions by virtue of a high-temperature simulation experiment system, respectively carrying out main element and trace element content tests on coal samples before and after simulation, calculating the migration rate of each element, and establishing a correlation model of the element migration rate along with temperature change; and element migration is predicted. According to the method, the evolution process of the coal is reduced through the high-temperature simulation experiment, migration of the elements in the coal-grade evolution process can be quantitatively evaluated, the steps are simple and clear, the evaluation result is reliable, and the scheme can be used for guiding exploration of key strategic elements and treatment of harmful elements in coal and has good application prospects. And the method has important theoretical and practical significance on research on migration and enrichment rules of elements in coal.

Description

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AI Technical Summary

Benefits of technology

This patented technology describes an improved way to evaluate how easily certain materials move through rocks during experiments at very high temperatures. By taking advantage from these movements it becomes possible to better predict what types of material will behave differently when placed inside specific environments or found naturally there due to factors like weather (rain) affects their movement over long periods).

Problems solved by technology

Technological Problem: Current methods used to evaluate element movement within coal require long periods of experimentations at different temperatures and timescales due to their destructive nature. Additionally, existing techniques cannot accurately predict changes caused by changing environmental conditions over several decadal genera (such as volcanism) without causing damage to the underlying rock formations containing them.

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