SGS:序贯高斯模拟
“序贯高斯模拟”是一种重要的地质统计学方法,其英文全称为“sequential Gaussian simulation”。为便于书写与交流,常使用其缩写“SGS”。该方法广泛应用于地质建模、资源评估及环境模拟等多个综合性领域,主要用于生成连续型变量的随机实现,以量化不确定性并辅助决策分析。
sequential Gaussian simulation具体释义
sequential Gaussian simulation的英文发音
例句
- Prediction of potential formation damage by means of Sequential Gaussian Simulation
- 应用序贯高斯模拟(SGS)法预测储集层潜在伤害
- I also studied the sequential Gaussian simulation(SGS) method for modeling. This method avoids the smoothing effect of the determinable modeling, and can help optimize the best results, as well as assessing the uncertainty.
- 研究了序贯高斯模拟(SGS)建模方法,避免了确定性建模方法的平滑效应,同时能够对模拟结果进行优选和不确定性评价。
- Sequential Gaussian simulation with Bayesian upgrading can be used to incorporate seismic data of intermediate vertical resolution into 3-dimensional reservoir models. Given a specific seismic frequency, the resolution of model by this method can be improved.
- 引入贝叶斯定理的序贯高斯模拟(SGS)方法,即贝叶斯序贯高斯模拟(SGS),用来整合中等垂向分辨率的地震数据,在给定地震频率的条件下,提高模型的分辨率。
- Ordinary kriging and sequential Gaussian simulation(SGS) ( SGS ) were used to estimate and simulate spatial distribution of heavy metal Cu in paddy soil in Hang-Jiang-Hu plain, and sequential indicator simulation ( SIS ) was used to assess the probability of Cu content exceeding the predefined threshold.
- 以杭嘉湖平原为样区,利用普通克立格法和序贯高斯模拟(SGS)方法对土壤Cu的空间分布进行估值和模拟,并利用序贯指示模拟进行不确定性评价。
- Bayesian sequential Gaussian simulation(SGS) method
- 贝叶斯-序贯高斯模拟(SGS)方法
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