The Application Of Gravity Data Processing Technology In Potash Mine In Laos

After a hundred years of development, gravity exploration in oil, gas and metal oreexploration has repeatedly demonstrated its irreplaceable role. The development of the gravityexploration work of our country only started for six decades. By constantly introducing andimproving， gravity data processing technology has been basically mature. By establishing anational gravity basepointsnet, a large number of geophysical gravity workers conduct gravityexploration work in a large area and provide a rich and valuable data to us. In a variety ofmineral resources, the potash mine is indispensable in crop production. Data shows that China’sproven potash mine is too small to meet the needs of the domestic crop production, which makesit one of the greatly lacked minerals of our country. Laos is rich in potassium minerals. Throughinternational cooperation, a number of Chinese enterprises and institutions involved in theexploration of potash mine in Laos. The study of gravity data processing technology in theexploration of potash mine in Laos has a good practical significance. As I have been to theVientiane Laos area to do the gravity exploration work with my tutor two times, I am familiarwith the local geological conditions and accumulated a wealth of experience. Based on thede-noising technology of S transform, combined with median filtering method, this paper makessome new attempt to gravity field data de-noising and demonstrates the applicability of Stransform in the aspect of potential field de-noising. For potential field boundary recognition, westudy the application effects in the residual gravity anomaly and Bouguer gravity anomaly bythe modelling test comparison of various boundary recognition methods and then apply thegravity data processing to potash mine in Laos.This paper mainly consists of the following aspects of research work:1. Study the function of S transform and median filtering method in field data de-noised andestablish model to contrast their effects and function. 2. Carry on theoretical analysis systematically on field separation technique like trendanalysis, wavelet analysis and interpolation cutting; and boundary recognition methods like tiltderivative, normalized differential method and Euler deconvolution.3. Compare and analysis the potential field boundary recognition methods of numericalclass and mathematical statistics class by modeling. Summarize its application results by addingregional field.4. Processing gravity data in Laos Vientiane region. Based on S transform de-noised data,study the base condition by analytical continuation. Separate potential field using interpolationcutting, trend analysis and wavelet analysis. Find the specific location and depth range oflow-density potash mine and determine the potash target more accurately using layered apparentdensity inversio. Finally, speculate fracture distribution of the survey area using varietyboundary recognition technology. By comparison, we can understand the specific applicabilityin the local area of the various fracture classification method and provide a basis for the divisionof potash exploration prospects.