Method for exploring and predicting deep solid sylvite by using brine hydrogeochemical simulation

By collecting and analyzing brine samples, calculating characteristic coefficients, and simulating the formation and potassium richness of brine, the problems of low efficiency and high cost in deep exploration using traditional mineral exploration methods have been solved, enabling efficient potassium salt exploration under complex geological conditions.

CN122283073APending Publication Date: 2026-06-26CHONGQING INST OF GEOLOGY & MINERAL RESOURCES
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Patent Information

Application Number
CN202610495195.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-15
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Traditional mineral exploration methods are costly and inefficient when probing deep ore bodies, and have limited effectiveness in exploring deep or concealed deposits. In particular, they are difficult to effectively identify geochemical anomalies under complex geological conditions, making it difficult to explore deep solid potassium salts.

Method used

By collecting surface salt spring water samples and borehole brine samples, the contents of major and high-value elements were analyzed, characteristic coefficients were calculated, and combined with hydrogeochemical models and evaporation experiments, the formation and potassium enrichment of brine were simulated, and the distribution and enrichment areas of deep solid potassium salts were predicted.

Benefits of technology

It improves the efficiency and success rate of mineral exploration, and can accurately predict the distribution and enrichment areas of solid potassium salts under complex geological conditions, overcoming the limitations of traditional methods.

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Abstract

The invention provides a method for exploring and predicting deep solid sylvite by utilizing brine hydrogeochemical simulation, which is characterized in that: potassium is found by brine, surface salt spring water and deep drilling brine in the same target area are synchronously collected, and the brine characteristic coefficients of the surface salt spring water and the deep drilling brine are calculated and compared, so that the deep solid sylvite exploration and prediction are realized. According to the quantitative relation of the brine coefficient value and the threshold value, the cause of brine, the brine evaporation degree, the atmospheric precipitation influence and the like are judged. According to the method, brine samples indicating deep favorable potassium formation environments are screened out, then a hydrogeochemical model is constructed and corrected, and the screened samples are subjected to simulated evaporation mineral precipitation sequences. Calculating saturation indexes of target minerals such as sylvinite and carnallite, and finally taking the condition that the SI value of sylvinite is close to-0.5 to + 0.5 as a core criterion, and combining with the condition that the sylvinite is unsaturated and the carnallite is close to saturation. And comprehensively delineating an exploration target area by using multiple indexes. The method aims at remarkably improving the prediction precision and exploration efficiency of the deep solid potassic salt ore under the complex geological condition.
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