1) sequential simulation
序贯模拟
1.
An application of sequential simulation to reservoir modeling;
序贯模拟方法在储层建模中的应用研究
2) sequential indicator simulation
序贯指示模拟
1.
The paper utilizes sequential indicator simulation method and builds many equi-probabilistic and accurate spatial distribution models of reservoir parameters through the study of the actual data of Wangji.
序贯指示模拟法是以指示克里金为基础的一种随机模拟方法,它是一种非高斯模拟方法,与传统的方法相比具有很多优点:适用范围更广泛、不用去掉某些奇异值。
2.
Multi-binary Sequential Indicator Simulation Algorithm, an improvement of the sequential indicator simulation algorithm, is used to the simulation of lithofacies at the H~(1-1)_(3) layer in the Huo Shaoshan Oilfield.
多级序贯指示模拟算法是普通序贯指示模拟算法的改进算法,保留了普通序贯指示模拟算法的简洁、快速、真实的特点,又具有可以调整相带的模拟顺序,易于实现模拟结果的后处理,使模拟结果连续、合理、更加符合实际地质情况。
3) 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。
4) sequential indicator co-simulation
序贯指示协同模拟
5) 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。
6) 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
补充资料：贯顊
1.见"贯颐"。
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