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Study On Integrated Processing And Interpretation Of Gravity Data For The Application In Sylvite Mine

Posted on:2014-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:H F HuanFull Text:PDF
GTID:2230330395997609Subject:Earth Exploration and Information Technology
Abstract/Summary:PDF Full Text Request
Potassium is essential in crop production and chemical industry, so thatChina’s demand for potassium salt has been high, but due to the complexity ofmetallogenic environment in our country, and subject to the theory, technologyand other reasons, China has become a country of poor potassium. AndSoutheast Asian countries, Laos is a potash mineral-rich country, a number ofcompanies in China have entered the the Laos’ potash market, in this context, Ihad the honor to follow my tutor to participate in potash exploration project,inwhich I have accumulated considerable experience. I carry out the associatedgravity data processing and interpretation methods of technology research,which is surrounding accurately delineated potash target area in this paper, andtry something new in data de-noising and fracture identification, then hope thatthrough these research efforts to improve the reliable degree of using gravity tofind the potash mineral resources. These work has important practicalsignificance and has a certain significance to the future exploration work in theregion.In the course of the study, in order to eliminate the impact of the gravityanomaly data, such as the artificial interference and noise, I do some researchabout the Curvelet transform method in de-noising of the potential field data,and be compared with the de-noising effect of wavelet threshold in the model, toverify the usefulness of the method. In boundary and fault identification, thehistogram equalization method will be applied to the existing boundaryidentification method, the scheme verified by models with intuitive and highresolution properties, which has important significance in practical applications.In the paper, the main research work and achievements including the aspects areas follows:1. Studied the Curvelet transform and wavelet threshold denoising methodin the application of field data processing, using model test to compare the effectof two de-noising methods, the results verify that the Curvelet transform can beapplied to the denoising of potential field data processing. 2. Select the better application effect of three kinds of potential fieldseparation methods, namely the method of analytical continuation, interpolationcutting and wavelet multi-scale analysis, by modeling comparative tests tounderstand the features of these three methods and the application effects.3. Introduced the potential field data processing and imaging of thehistogram equalization method, and applied it to the boundary identificationmethods, by modeling comparative tests to clear this combination in judging therole of geological boundaries.4. Using the three-dimensional apparent density imaging method, carriedon the related to model test to qualitatively understand the effect of itsapplication.5. Using the methods of model test to process the Laos’ potash minesgravitaty exploration data, de-noising pretreatment was carried out on the datafirst; And then by adopting the method of analytical continuation to get to knowthe basement; Use analytical continuation, interpolation cutting and waveletmulti-scale analysis to contrast the effect of potential field separation, combinedwith the second vertical derivative to determine the location and extent of thelow-density sedimentary basins; And layering of apparent density inversion tohave a solid understanding about the location and depth distribution of lowdensity, which provides more precise target for the looking for potassium rock;Finally, by the boundary and fault identification scheme proposed in this paper,combined with horizontal direction derivative to inference the distribution offaults. After the above processing, I divided18main fault structure in the surveyarea, which are consistent with the determined position of the low-densitysedimentary basins, then comprehensive identified six Class I potash target.
Keywords/Search Tags:Gravity, Curvelet transform, Histogram Equalization, boundary identification, sylvite mine
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