基于GMRF的连续型储集层属性分布随机模拟

Stochastic simulating distribution of continuous reservoir attributes based on the GMRF Model

连续型储集层属性分布预测是油气储集层研究的重要内容。定量化的方法有各种插值技术和基于地质统计学的一些随机模拟技术,不同方法各有其优缺点。对基于GMRF(Gaussian Markov Random Fields)模型的随机模拟方法的原理和算法进行了较为详细的介绍,实际模型的运算过程及结果表明,该方法较为简捷,同时连续型属性作为空间随机变量的两个特征———结构性和随机性也得到了很好的反映。

Predicting the distribution of continuous reservoir attributes is an important task in the reservoir research. Corresponding digital research methods include interpolation techniques and other stochastic simulation techniques based on geo-statistics. Different methods are used in diverse situs for their respective merits. The authors discussed at length the principle of simulating continuous reservoir attributes based on GMRF model and a corresponding algorithm. A practical model and its simulation process indicate that the method is very compact and valid and the configuration and randomicity of continuous attributes are exhibited from a series of realizations.