1) Sequential Gaussian collocated co-simulation
序贯高斯同位协同模拟
1.
Sequential Gaussian collocated co-simulation in drilling risk prediction;
序贯高斯同位协同模拟在钻井风险预测中的应用
2) sequential coordinate modeling
序贯指示同位协同模拟
1.
A model of reservoir sedimentary micro-facies is established with S1 in Block Long10,eastern depression,Liaohe Oilfield,as an example,by using the probabilistic relationship between wave impedance and sedimentary micro-facies as well as parameters(width,thickness and volume) of the micro-facies in development performance,guiding by depositional model,and applying sequential coordinate modeling.
以辽河油区东部凹陷龙10断块沙一段为例,利用波阻抗与沉积微相之间的概率关系及开发动态中的各沉积微相参数(宽度、厚度、体积含量),以沉积模式为指导,应用序贯指示同位协同模拟方法,建立储层沉积微相相模型。
3) sequential Gaussian co-simulation
序列高斯协同模拟
1.
This method was based on sequential Gaussian co-simulation to spatially combine and up-scale plot data and satellite images from small(30 m×30 m) to large map units 900 km×900 km.
基于序列高斯协同模拟算法,结合样地数据与卫星影像数据进行模拟,将森林碳汇分布图的尺度从30m×30m转换到900m×900m(区域、国家和全球森林碳制图单位大小)。
4) sequential indicator co-simulation
序贯指示协同模拟
5) sequential Gaussian simulation
序贯高斯模拟
1.
Bayesian sequential Gaussian simulation method;
贝叶斯-序贯高斯模拟方法
2.
Prediction of potential formation damage by means of Sequential Gaussian Simulation
应用序贯高斯模拟法预测储集层潜在伤害
3.
The sequential Gaussian simulation accounting for single attribute and the sequential Gaussian co-simulation accounting for elevation secondary information were used for simulation of the soil .
为了探讨在条件模拟计算环境下,是否可以利用高程数据辅助提高土壤有机质空间变化的预测精度及相应的预测不确定性模拟的准确性,该文在北京市平谷区内选取研究样区,以土壤有机质作为目标变量,一方面利用序贯高斯模拟法对土壤有机质的空间分布进行模拟,另一方面以高程作为辅助信息,利用序贯高斯协模拟法对土壤有机质的空间分布进行模拟,然后对两种方法的模拟结果进行对比分析。
6) block kriging sequential gaussian simulation
Block克里金序贯高斯模拟
补充资料：同贯
1.犹一体，一例。 2.同籍贯。 3.并列;同列。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条