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The NMR data of multiple measurements based on the maximum entropy
The NMR data of multiple measurements based on the maximum entropy
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机译:基于最大熵的多次测量的NMR数据
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1.method u0438u0437u0432u043bu0435u0447u0435u043du0438u00a0 system information u00a0u0434u0435u0440u043du044bu0445 u0441u043fu0438u043du043eu0432 of column of rock, containing many stages in which u0432u044bu043fu043eu043bu043du00a0u044eu0442 u00a0u0434u0435u0440u043du043e - magnetic measurement method the resonance (mrl) system u00a0u0434u0435u0440u043du044bu0445 u0441u043fu0438u043du043eu0432 registers the mrl data received in each of the many dimensions of mrl, u0432u044bu0447u0438u0441u043bu00a0u044eu0442 multivariate data in many way u044bu043fu043eu043bu043du0435u043du0438u00a0 reverse u043fu0440u0435u043eu0431u0440u0430u0437u043eu0432u0430u043du0438u00a0 in mrl - datawhich does not depend on the prior u0437u043du0430u043du0438u00a0 on the field.;2. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that additionally contains phase u0444u043eu0440u043cu0438u0440u043eu0432u0430u043du0438u00a0 multidimensional schedule of multidimensional data.;3. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 2, so that the multi-dimensional graphic form in the grid axes, selected from the group of diffusion, t1, t2 and u043eu0442u043du043eu0448u0435u043du0438u00a0 t1 and t2.;4. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that additionally contains phase u0441u0436u0430u0442u0438u00a0 mrl data before the computation of multidimensional data.;5. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the phase u0432u044bu0447u0438u0441u043bu0435u043du0438u00a0 further contains a step in which the many functions of mn (xi), the mathematical u043eu0436u0438u0434u0430u043du0438u00a0 which oprah u0434u0435u043bu00a0u044eu0442 points where f (xi) is u0444u0443u043du043au0446u0438u00a0 u0440u0430u0441u043fu0440u0435u0434u0435u043bu0435u043du0438u00a0 object u043au043eu0442u043eu0440u0430u00a0 also u0432u044bu0440u0430u0436u0430u0435u0442u0441u00a0 through such functions where n are the parameters that u043fu043eu0434u0433u043eu043du00a0u044eu0442 so moments. u044bu0447u0438u0441u043bu0435u043du043du044bu0435 using mrl is consistent with the data.;6. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 clause 5, so that the phase of the evaluation of further contains stages in which compares the computed moments with a lot of points data from the values of the mrl, u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 quality approximation u0432u044bu0447u0438u0441u043bu0435u043du043du044bu043cu0438 moments of moments of the data u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 final distribution, if the quality of ams u0440u043eu043au0441u0438u043cu0430u0446u0438u0438 comes out of the allowable limit.;7. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 p.6, so that evaluation phase, further contains a step in which u043fu043eu0434u0433u043eu043du00a0u044eu0442 n to improve the quality of the approximation.;8. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 clause 5, so that the phase distribution of u0432u044bu0447u0438u0441u043bu0435u043du0438u00a0 ensures that both u0441u043eu0433u043bu0430u0441u0443u0435u0442u0441u00a0 with all u0438u043cu0435u044eu0449u0438u043cu0438u0441u00a0 data and has u043cu0430u043au0441u0438u043cu0430u043b steel entropy s expressed by the equation where k is the u043fu043eu0441u0442u043eu00a0u043du043du0430u00a0 value.;9. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 clause 5, so that the number of n functions meaningful moments u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 through multiple points with u0437u043du0430u0447u0435u043du0438u00a0u043cu0438 above u0443u0440u043eu0432u043du00a0 noise arising from mrl - dr. u0430u043du043du044bu043cu0438.;10. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the process of reverse u043fu0440u0435u043eu0431u0440u0430u0437u043eu0432u0430u043du0438u00a0 does not depend on the parameter u0440u0435u0433u0443u043bu00a0u0440u0438u0437u0430u0446u0438u0438.;11. method for u043eu0442u043bu0438u0447u0430u044eu0449u0438u0439u0441u00a0 1, so that the process of reverse u043fu0440u0435u043eu0431u0440u0430u0437u043eu0432u0430u043du0438u00a0 does not depend on the particular sequence of measurements.;12.u043au0430u0440u043eu0442u0430u0436u043du043eu0435 device containing u043au0430u0440u043eu0442u0430u0436u043du044bu0439 device with the possibility of u043fu0435u0440u0435u043cu0435u0449u0435u043du0438u00a0 in a borehole, and a processor connected to the u043au0430u0440u043eu0442u0430u0436u043du044bu043c device and process or u043fu0440u043eu0433u0440u0430u043cu043cu0438u0440u0443u0435u0442u0441u00a0 teams who, in the performance of their processor, u0432u044bu043fu043eu043bu043du00a0u044eu0442 stages in which u0432u044bu043fu043eu043bu043du00a0u044eu0442 many measurement method of mrl system u00a0u0434u0435u0440u043du044bu0445 spino in the mrl, register datareceived in each of the multiple measurement method of mrl, u0432u044bu0447u0438u0441u043bu00a0u044eu0442 multivariate data by u0432u044bu043fu043eu043bu043du0435u043du0438u00a0 reverse u043fu0440u0435u043eu0431u0440u0430u0437u043eu0432u0430u043du0438u00a0 in mrl - data which does not depend on the prior u0437u043du0430u043du0438u00a0 on the field.;13. u043au0430u0440u043eu0442u0430u0436u043du043eu0435 device on p.12, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0 what processor further u0432u044bu043fu043eu043bu043du00a0u0435u0442 phase u0444u043eu0440u043cu0438u0440u043eu0432u0430u043du0438u00a0 multidimensional schedule of multidimensional data.;14. device for u043au0430u0440u043eu0442u0430u0436u043du043eu0435 p.13, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0, multivariate chart u0444u043eu0440u043cu0438u0440u0443u0435u0442u0441u00a0 grid axes system selected from the group of diffusion, t1, t2 and u043eu0442u043du043eu0448u0435u043du0438u00a0 t1 and t2.;15. u043au0430u0440u043eu0442u0430u0436u043du043eu0435 device on p.12, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0 what processor further u0432u044bu043fu043eu043bu043du00a0u0435u0442 phase u0441u0436u0430u0442u0438u00a0 mrl data before the computation of multidimensional data.;16. u043au0430u0440u043eu0442u0430u0436u043du043eu0435 device on p.u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0 12, so that the phase u0432u044bu0447u0438u0441u043bu0435u043du0438u00a0 further contains a step in which u043eu0446u0435u043du0438u0432u0430u0435u0442u0441u00a0 many functions of mn (xi), the mathematical u043eu0436u0438u0434u0430u043du0438u00a0 which u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 mo the cops where f (xi) is u0444u0443u043du043au0446u0438u00a0 u0440u0430u0441u043fu0440u0435u0434u0435u043bu0435u043du0438u00a0 object u043au043eu0442u043eu0440u0430u00a0 also u0432u044bu0440u0430u0436u0430u0435u0442u0441u00a0 through such functions where n are the parameters that u043fu043eu0434u0433u043eu043du00a0u044eu0442u0441u00a0 so points calculated by using the mrl is consistent with the data.;17. device for u043au0430u0440u043eu0442u0430u0436u043du043eu0435 p.16, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0 so that phase evaluation additionally contains stages in which compares the computed moments with a lot of points given data derived from the mrl values, u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 quality approximation u0432u044bu0447u0438u0441u043bu0435u043du043du044bu043cu0438 moments of moments of the data u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 final distribution, eu whether the quality of approximation is not coming out of the allowable limit.;18. device for u043au0430u0440u043eu0442u0430u0436u043du043eu0435 p.17, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0 so that phase evaluation additionally contains phase adjustment, n, to improve the quality of the approximation.;19. device for u043au0430u0440u043eu0442u0430u0436u043du043eu0435 p.16, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0, phase distribution u0432u044bu0447u0438u0441u043bu0435u043du0438u00a0 ensures that both u0441u043eu0433u043bu0430u0441u0443u0435u0442u0441u00a0 with all the cash data and the region u0430u0434u0430u0435u0442 maximum entropy s expressed by the equation where k is the u043fu043eu0441u0442u043eu00a0u043du043du0430u00a0 value.;20. device for u043au0430u0440u043eu0442u0430u0436u043du043eu0435 p.16, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0 n functions of the important points u043eu043fu0440u0435u0434u0435u043bu00a0u044eu0442 through multiple points with u0437u043du0430u0447u0435u043du0438u00a0u043cu0438 above u0443u0440u043eu0432u043du00a0 noises, obu from the mrl - data.;21. device for u043au0430u0440u043eu0442u0430u0436u043du043eu0435 p.16, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0 so that every moment of calculated points does not depend on any other u0432u044bu0447u0438u0441u043bu0435u043du043du043eu0433u043e moment.;22. u043au0430u0440u043eu0442u0430u0436u043du043eu0435 device on p.12, u043eu0442u043bu0438u0447u0430u044eu0449u0435u0435u0441u00a0, however, that the process of reverse u043fu0440u0435u043eu0431u0440u0430u0437u043eu0432u0430u043du0438u00a0 does not depend on the particular sequence of measurements.
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