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《Progress in Geophysics》 2014-05
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Application of Monte Carlo simulation in nuclear well logging

YUAN Chao;ZHOU Can-can;ZHANG Feng;CHENG Xiang-zhi;DOU Yang;HU Song;LI Hua-yang;Research Department of Well-logging and Remote Sensing Technology,Research Institute of Petroleum Exploration and Development,PetroChina;School of Geosciences,China University of Petroleum (East China);School of Marine Science,China University of Geoscience (Beijing);  
Monte Carlo simulation is one of the most important numerical simulation methods in nuclear logging.Formation models can be built with MCNP special code,which provides a simple and effective approach to conduct fundamental study in nuclear logging.In this paper,Monte Carlo method is used to set up different simulation models under different situations,and the application of Monte Carlo method in nuclear well logging is demonstrated with simulation examples:distribution of nuclear physical field,including neutron and gamma field,can be simulated to study the investigation depth and logging response,and measurement methods can be built based on the distribution features of nuclear field;new logging method can be developed with numerical simulation, and physical experiments can be avoided to some extent; the tool parameters,including the type and size of detector,spacing,shielding and so on,can be optimally designed;the logging response can be established with the logging parameters,which are derived from the simulation data, and geological parameters,and data processing method can be got through the study of the effect of influential factors on logging response.
【Fund】: 国家重大油气专项(2011ZX0520-008);; 国家自然科学基金(41374125);; 山东省自然科学基金(ZR2012DM002);; 中石油基础研究项目(2011A-3904)联合资助
【CateGory Index】: P631.817
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