Quantitative Prediction Theory And Practice Of Seafloor Massive Sulfide Deposits In The Southwest Indian Ridge Between 49°E To 50.25°E

The research object of this article is the southwest Indian ridge(49 ° E-50.25 ° E).According to the Indian Ocean southwest of metallogenic geological background and characteristics of hydrothermal activity,this paper integrated terrain,geological,geophysical,geochemical and other five types of ore-controlling factors,and the matching prospecting concept model is established.According to the conceptual model,the data collected are deeply mined,the model is gradually transformed from qualitative to quantitative,and the data-driven model is established.Data of terrain information,geophysical information,geological information and geochemical information were collected in this study.Further analysis of the data processing to extract metallogenic information related to hydrothermal known points,according to the metallogenic characteristics of the southwest Indian sulfide,established the polymetallic sulfide ore prediction model.In this paper,the resource prediction in the study area based on two-dimensional quantitative prediction of evidence weight method,this method in the metallogenic prospective prediction is the most widely used in linear model and USES the bayesian conditional probability theory,spatial correlation of quantitative forecast a series of known deposits.In combination with ore deposit bayesian criteria used in the linear form,spatial correlation of evidence weight method in each layer of evidence,the weight of each factor of evidence is determined by spatial location,in all the evidence factor layer satisfy the condition of independent of each other,to calculate the posterior probability in the study area.Before the forecast evaluation,the first thing to meshing for unit in the study area,each cell in the grid contains various associated geological information,grid size must be consistent with the statistical rules and gradation,the partition size has important influence on the result of the forecast.This article USES the unit grid division method for Harris partition method,namely the study area is divided into regular grid unit,in this way make geological information and spatial information has relevance,each unit is regarded as a sample,the meshing method is widely used in the large area resource prediction.Through the study of this article can draw the following conclusion: according to the actual situation in the study area fully collected data,the 49 ° E-50.25 ° E ridge period's submarine topography,geological structure,gravity anomaly,geochemical anomalies,and other data for further mining and prospecting model is set up,theextraction conditions of 14 independent evidences of factor on two-dimensional quantitative prediction.The predicted results and the known Hydrothermal localities,which proves that the method system established in this paper is feasible and can provide a basis for the exploration and exploitation of seafloor polymetallic sulfide resources.