Geologic variation degree-based geochemical exploration anomaly extraction and evaluation method

Abstract

The invention discloses a geologic variation degree-based geochemical exploration anomaly extraction and evaluation method. The method comprises the following steps: S1, collecting the element contentof each sampling point, carrying out statistical analysis on the data information of the elements corresponding to the sampling points, and carrying out preliminary evaluation on the mineralization potential of each element; s2, generating a geochemical actual sampling point bitmap in GIS software, and counting and analyzing the average distance r between sampling points; creating a filtering window with the radius of R, counting logarithm standard deviations of all sampling points in a window domain, and endowing a central sampling point with a statistical value; s3, calculating an abnormallower limit by using a traditional statistical method; s4, respectively taking 1 time, 1.5 times, 2 times and the like of the lower limit of the anomaly as an outer zone, a middle zone and an inner zone of the anomaly to complete a geochemical variation degree graph; and S5, carrying out abnormal evaluation in combination with metallogenic geological conditions. The method improves the accuracy and efficiency of mineral exploration evaluation, reduces the cost and risk of geological prospecting, and enriches and develops an exploration geochemical information processing technology.

Description

technical field [0001] The invention relates to the technical field of mineral exploration, in particular to a method for extracting and evaluating geochemical anomalies based on geological variability. Background technique [0002] Geochemical anomalies are known as mineralization "micro-outcrops" and "probes" in mineral exploration and evaluation, and have incomparable directness and effectiveness in actual prospecting with geophysical and other methods. With the advent of the era of big data, the research on the processing technology of massive exploration geochemical data has become a hot spot in the field of mineral exploration and evaluation. In addition, the embarrassing situation of increasing cost of prospecting and exploration and decreasing new discoveries of ore prospecting since the new century has also prompted geologists to continuously explore new and more effective methods for extracting and evaluating geochemical anomalies, thereby serving mineral resources...

AI Technical Summary

Problems solved by technology

These emerging methods maximize the use of various geological data and quantify them. The methods are complex and subjective. Some methods do not consider the internal relationship between data structure changes and mineralization, and the geological significance is not clear. In the practical application of the industry It is not as direct and extensive as traditional methods, and is mainly used in universities and research institutes

[0005] In addition, in addition to the data processing software (but very professional and not widely used) for some emerging geochemical anomaly identification and evaluation methods, such as "Metal and Mineral Resources Evaluation and Analysis System" (MORPAS), "Geological Data Processing Expert Assistant System" ( GEEMS), "Mineral Resource Potential Evaluation System" (GeoDAS), etc., the existing geochemical data processing usually firstly conduct data feature statistics in Excel or SPSS software, then calculate the abnormal lower limit, and then use Surfer to perform grid interpolation processing on the data , and finally go to MapGIS to form a map; or directly interpolate in MapGIS and then form a map, but there are few interpolation methods in MapGIS, and generally the first method is used more

The existing geochemical data processing methods have the following defects: (1) Different geological units or sub-regions have different geochemical field backgrounds, and the method of delineating anomalies in the whole region according to the unified anomaly lower limit is easy to cause high geochemical The delineation of false anomalies or anomalous anomalies with unclear meaning in the field background, as well as the leakage circle of the real ore-induced "low and slow" anomaly in the low geochemical background field, bring misleading results to the evaluation of geochemical anomalies and the actual prospecting and exploration work

The process of grid interpolation will inevitably cause a certain smoothness to the original data. This method is effective for reserve calculation or parameter estimation, but for the identification and analysis of abnormalities, the suppression or elimination of local change information Often results in the loss of useful prospecting information

(3) Regardless of the traditional method or the emerging method, there are dozens of elements tested at each sampling point, and dozens of anomaly maps need to be compiled at the same time, which requires a lot of work

The final composite anomaly and comprehensive anomaly diagrams are superimpositions of multiple element anomaly diagrams selected among them. Even if only the main ore-forming elements are considered, several anomalous diagrams are often compiled, which brings a lot of inconvenience to reading diagrams and analyzing anomalies. It is also easy to cause inaccuracy in abnormal evaluation

Images