| 模拟退火法建立数字岩心的一种补充优化方案 |
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| 引用本文： | 莫修文,张强,陆敬安.模拟退火法建立数字岩心的一种补充优化方案[J].地球物理学报,2016,59(5):1831-1838. |
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| 作者姓名： | 莫修文 张强 陆敬安 |
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| 作者单位： | 1. 吉林大学地球探测科学与技术学院, 长春 130026;2. 广州海洋地质调查局, 广州 510760 |
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| 基金项目： | 国家高技术研究发展计划(2013AA092501),国家自然科学基金项目(40874057)资助. |
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| 摘 要： | 针对传统的模拟退火建立数字岩心方法建模效率低、计算结果存在较多的孤立点等缺陷,设计了后续的补充搜索方案,定义了孔隙与骨架的边界点选取准则,提出了基于择多算子算法选取的对象点与孔隙骨架边界点交换作为新系统的生成方案.使用传统模拟退火算法对随机的初始模型优化作为第一阶段,用新系统生成方案继续优化作为第二阶段,最后减少模型中孤立孔隙点或骨架点,输出结果.试验表明,新的补充优化方案不仅可行而且效果良好.最终优化模型与传统模拟退火建模结果相比,无论是在孔隙形态还是在孔隙连通性上都与原始岩心较为接近,由反映岩石孔隙空间特征的变差函数可以看出补充搜索方案优化结果优于传统模拟退火法建模结果.
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| 关 键 词： | 模拟退火 数字岩心 自相关函数 线性路径函数 变差函数 |
| 收稿时间： | 2015-02-05 |
A complement optimization scheme to establish the digital core model based on the simulated annealing method |
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| MO Xiu-Wen,ZHANG Qiang,LU Jing-An.A complement optimization scheme to establish the digital core model based on the simulated annealing method[J].Chinese Journal of Geophysics,2016,59(5):1831-1838. |
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| Authors: | MO Xiu-Wen ZHANG Qiang LU Jing-An |
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| Institution: | 1. College of Geo-Exploration of Science and Technology, Jilin University, Changchun 130026, China;2. Guangzhou Marine Geological Survey, Guangzhou 510760, China |
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| Abstract: | The purpose of this work is to overcome the disadvantages of low efficiency and much isolated points in building the digital core model by the traditional simulated annealing methods. We design the subsequent search scheme, defines the criterion to select the boundary point of pore and the matrix, and proposes the generation solutions of the new system by exchanging the isolated pore points and boundary points of pore and matrix based on the majority operator method. Using traditional simulated annealing algorithm to optimize the random initial model as the first stage, and using the optimizing plan generated by the new system as the second stage, we can finally reduce the isolated points of pore or matrix in the output model. A preliminary test shows the new optimization solution is feasible and very effective. For instance the results from the final optimization model are relatively closer to the original cores compared with that from traditional simulated annealing modeling, both in pore shape and connectivity. The variation function, which characterizes the rock pore space, also demonstrates that the optimization results of the complement search scheme are superior to that of the traditional simulated annealing methods. |
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| Keywords: | Simulated annealing methods Digital core Auto-correlation function Linear path function Variation function |
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