CAJ | 학술논문

在综合应用概率、模糊、神经网络理论等基础上，提出一种基于钻孔数据的三维地质模型智能建模方法。该方法能够充分利用已有的地质钻孔资料，重点解决模型构建中“精确化”、“智能化”等问题，对建模过程中若干关键问题进行了讨论。为验证该方法的实用性，将其应用于某平原水库的复杂地质模型构建中，得到了该工程区域较为精细的地层分布情况，可为地基处理方案设计提供技术支撑。
재종합응용개솔、모호、신경망락이론등기출상，제출일충기우찬공수거적삼유지질모형지능건모방법。해방법능구충분이용이유적지질찬공자료，중점해결모형구건중“정학화”、“지능화”등문제，대건모과정중약간관건문제진행료토론。위험증해방법적실용성，장기응용우모평원수고적복잡지질모형구건중，득도료해공정구역교위정세적지층분포정황，가위지기처리방안설계제공기술지탱。
A three-dimensional geological intelligent modeling method based on borehole data is proposed herein in view of the comprehensive application of probability, fuzzy and neural network theory. This method can make full use of existing geological borehole data and focuses on solving the "Precise" and "Intelligent" of modeling. Some key problems in the process of modeling method are discussed. To verify the practicability of this method, a complex geological model of plain reservoir is built by using this method. As a result, the fine stratigraphic distribution of the project area is shown, which can provide good technological support for the design of foundation treatment project.