A Permeability Simulation Method Using Cholesky Decomposition

摘要：

The permeability is an important parameter for the evaluation of transport properties in many scientific and engineering fields. However, it is quite difficult to predict the unknown permeability information only by some sparse data in the process of interpolation. Cholesky decomposition is introduced in the simulation and prediction of permeability distributiop. The advantage is that this decomposition only needs to be performed once, multiple realizations are generated at the cost of a mere matrix multiplication. The major drawback is that, even if done only once, it is a very costly operation for large matrix and thus should be restricted to small fields and data sets. The simulation using Cholesky decomposition is the equivalent of the sequential Gaussian simulation algorithm with simple kriging and with an infinite data search neighborhood; all original conditioning data and previously simulated values are used in the kriging system at every node along the simulation path. The experimental results demonstrate that this method is practical.

关键词： permeability Cholesky decomposition conditioning data simulation interpolation

作者: Chaomin Mu Biming Shi Ting Zhang

作者单位: School of Energy Resources and Safety, Anhui University of Science and Technology Key Lab of Mining School of Energy Resources and Safety, Anhui University of Science and Technology Key Lab of Mining Science and Technology on Information Systems Engineering Laboratory, Nanjing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2011-01-14（万方平台首次上网日期，不代表论文的发表时间）