核磁共振測(cè)井儀探頭磁體的優(yōu)化設(shè)計(jì)
[Abstract]:Nuclear magnetic resonance logging is one of the most advanced downhole oil and gas exploration methods. The principle of nuclear magnetic resonance logging is that the magnetostatic magnetic field is applied to the formation through the permanent magnet of the probe of the logging tool to magnetize the hydrogen nucleus in the formation, and then the radio frequency signal of the radio frequency coil in the probe is used to cause the resonance of the hydrogen nucleus. Finally, the received resonance signal is collected for imaging. The research of nuclear magnetic resonance logging technology abroad is relatively developed, but the implementation of technology confidentiality; The research of nuclear magnetic resonance logging technology in our country mainly focuses on computer science and geology, such as the establishment of logging interpretation model and the nuclear magnetic resonance analysis of core geological characteristics. This paper focuses on the design of an improved magnetic resonance logging probe magnet system. The main work is as follows: firstly, based on MAGNET software, the static magnetic field distribution of the probe magnet of two kinds of typical nuclear magnetic resonance logging instruments abroad is analyzed, and the detection area and the detection depth of the magnetostatic magnetic field produced by the magnetostatic magnetic field are discussed. On the basis of this, an improved design scheme of probe permanent magnet is presented. The structure of the probe permanent magnet adopts the central gradient magnetic field logging method. The magnet structure not only includes the main magnet which produces static magnetic field, but also introduces the adjusting magnet. In order to achieve the fine-tuning of the static magnetic field. Secondly, the optimization strategy of surface response model and genetic algorithm is used to optimize the structure of probe magnet. The geometry parameters of the main magnet and the adjusted magnet are selected as the optimization variables, and the surface response model of the approximate objective function is established by combining the Latin hypercube sampling strategy and the multi-quadratic radial basis function, in order to improve the detection depth outside the hole. Finally, the optimal design of probe magnet is realized by using genetic algorithm to optimize the established surface response model. Then, the static magnetic field generated by the optimized probe magnet is simulated and analyzed based on MAGNET software, and the possible detection area around the well hole, as well as the detection depth and the magnetic field intensity are discussed, and the static magnetic field generated by the optimized probe magnet is simulated and analyzed. The improvement effect of the proposed magnet structure on the detection depth is analyzed. Finally, on the basis of determining the structure of the probe magnet, the RF coil matching with the magnet is designed according to the logging requirements, and the orthogonality between the RF magnetic field and the static magnetic field is analyzed. The position and volume of the probe magnet outside the well are determined.
【學(xué)位授予單位】:沈陽工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:P631.83
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