934 resultados para Methods: data analysis


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This paper based on the example of mountain front tectonic belt of Tuha basin - a typical basin in west China, using geological, logging and seismic data, combining the two methods-comprehensive analysis of geological-geophysical data and numerical simulation together, studies the types of tectonic lithofacies and the mechanism of oil/gas accumulation in mountain front tectonic belt, and predicts favorable exploration areas. The tectonic lithofacies in periphery belt of compressional basin is systematically studied for the first time. The distribution and systematically analyzed with geological, logging and seismic data; the bury history of formations in the mountain front are restored with the back-stripping technique; the tectonic depression history of the mountain front is studied according to Airy Balanced Model; the tectonic evolution history is restored with the balanced section technique; according to the space composition of tectonic units and sedimentary systems of different geological time, the tectonic facies belt of the middle and lower Jurassic in the piedmont is divided into 12 types, and the controls of each type's tectonic lithofacies belt on the conditions of oil/gas generation, reservation and sealing are analyzed in depth. 3D numerical simulation and analysis is applied to the tectonic stress field in the hydrocarbon reservoir-forming-period for the first time. Because of the complex evolution of mountain front of Tuha basin, 3D numerical simulation of tectonic stress field in the hydrocarbon reservoir-forming-period helps to study the magnitude of the maximum principal stress, the minimum principal stress and the shear stress, the range and distribution of the principal stress, and controls of the upwards factors on the oil/gas migration and accumulation. Through the study on the oil-controlling fault's evolution, sealing mechanism and sealing history, the coupling of two effects of the fault-passage and sealing screen for oil/gas migration can be defined. Using the basic principle of petroleum system analysis, the paper systematically studies the hydrocarbon reservoir-forming mechanism and the time-space matching of the factors that affect the formation of reservoir, such as the space matching of active oil/gas matching of the active period of fault, the migration period of oil/gas and the formation period of trap. Through comprehensive analysis, the favorable exploration targets are selected in selected in the mountain front.

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Synthetic Geology Information System(SGIS) is a part of the theory of Engineering Geomechanics-mate-Synthetics(EGMS), is also a development of its technical methodology. SGIS includes ways of geology engineering investigation, design, and construction. Although SGIS has an integrate theory frame, and some parts of it have gained great progress, the completion of SGIS is a continuous and accumulative process. This paper analyses the ways and principle of building knowledge database and model database, summarizes the experts' experience on exploration methods selection and the characters of exploration models, combining with the application of Decision Support System(DSS) in Decision support of Synthetic Exploration Methods for Railway engineering Geology. By the analysis of hierarchy structure of the model database, the effects of geology engineering factors on the selection of exploration methods are expressed. By the usage of fuzzy patterns recognize, hierarchy structure analysis, fuzzy collection closement analysis etc, the software of DSS for engineering design and construction are developed. At same time, by the development of Monitoring Data Analysis System and experiment data management system of Hydro-power project, this paper discussed the data management of science experiment of Hydro-power project by the usage of synthetic database and the usage of Geography Information System(GIS) and DSS technics. The technic of visual operation of data process and project monitoring system are presented. The intelligence algorithm of self-adoption is carried out to improve the data process and analysis of monitoring. Items of the project theoretical analysis and data process are designed in detail. All the theory and technical methods presented in this paper are one part of SGIS, in which the application of DSS and GIS, is an important step of the progress and completion of SGIS.

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Rockfall is a geological evolution process involving detachment of blocks or boulders from a slope face, then their free falls, bouncing, rolling or sliding, and finally deposition near the toe of the slope. Many facts indicate that the rockfall can cause hazards to peoples, and it can be regarded as a geological hazard. A rockfall event may only involve a boulder or rock, and also several ones. When there are peoples, buildings, or other man-made establishments within the scope of rockfall trajectory, losses will be possibly induced in tenns of human lives or damages to these facilities. Researches into mechanism, kinematics, dynamics, hazard assessment, risk analysis, and mitigation measures of rockfalls are extremely necessary and important. Occurrence of rockfall is controlled by a lot of conditions, mainly including topographical, geomorphic, geological ones and triggering factors. The rockfall especially in mountainous areas, has different origins, and occurs to be frequent, unexpected, uncertain, in groups, periodic and sectional. The characterization and classification of the rockfalls not only increase knowledge about rockfall mechanism, but also can instruct mitigation of the hazards. In addition, stability of potential rockfalls have various sensitivity to different triggering factors and changes of geometrical conditions. Through theoretical analyses, laboratory experiments and field tests, the author presents some back-analysis methods for friction coefficients of sliding and rolling, and restitution coefficients. The used input data can be obtained economically and accurately in the field. Through deep studies on hazard assessment methods and analysis of factors influencing rockfall hazard, this paper presents a new assessment methodology consisting of preliminary assessment and detailed one. From the application in a 430 km long stretch of the Highway, which is located between Paksho and Nyingtri in Tibet, the methodology can be applicable for the rockfall hazard assessment in complex and difficult terrains. In addition, risk analyses along the stretch are conducted by computing the probability of encountering rockfalls and life losses resulting from rockfall impacts. Rockfall hazards may be mitigated by avoiding hazardous areas, clearness of dangerous rocks, reinforcement, obstructing the rockfalls, leading the rockfalls, warning and monitoring for rockfalls, etc. Seen from present remedial level of rockfall hazards, different mitigation measures, economical and effective buffering units, monitoring tecliniques and consciousness of environmental protection for rockfall mitigations should be further developed.

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This dissertation systematically depicted and improved the application of Independent Component Analysis (ICA) to Functional Magnetic Resonance Imaging (fMRI), following the logic of verification, improvement, extension, and application. The concept of “reproducibility” was the philosophy throughout its four concluded studies. In the “verification” study, ICA was applied to the resting-state fMRI data, verified the resultant components with reproducibility, and examined the consistency of the results from ICA and traditional “seed voxel” method. At the meantime, the limitation of ICA application on fMRI data analysis was presented. In the “improvement” study, an improved ICA algorithm based on reproducibility, RAICAR, was developed to aid some of the limitations of ICA application. RAICAR was able to rank ICA components by reproducibility, determine the number of reliable components, and obtain more stable results. RAICAR provided useful tools for validation and interpretation of ICA results. In the “extension” study, RAICAR as well as the concept of “reproducibility” was extended to multi-subject ICA analysis, and gRAICAR algorithm was developed. gRAICAR allows some variation across subjects, examining common components among subjects. gRAICAR is also capable to detect potential subject grouping on some components. It is a new way for exploratory group analysis on fMRI. In the “application” study, two newly developed methods, RAICAR and gRAICAR, were used to investigate the effect of early music training on the brain mechanism of memory and learning. The results showed brain mechanism difference in memory retrieval and learning process between two groups of subjects. This study also verified the usefulness and importance of the new methods.