| 1. | Research on using kriging spatial interpolation technology in land classification for urban area
运用克里金空间插值技术进行土地级别划分 |
| 2. | Effects of the factors for spatial correlation analysis on kriging estimation in reservoir modeling
空间相关分析因素对储层建模中克里金估计结果的影响 |
| 3. | Spatial variability of water level in hetao irrigation district of inner mongolia and their estimations by the kriging
河套灌区地下水位的空间变异性及其克里金估值 |
| 4. | In this thesis , an oil reservoir is selected as example and some typical images are offered . 4 . krijing estimation and bayes - krijing estimation technique are studied
由于克里金估计技术是利用单一的精度较高的井点数据对油藏参数进行预测，当井较少时，该方法受到限制。 |
| 5. | Comprehensive analysis and results indicates that the kringing of spacial gridding methods , which has better versatility and may be operational , can reflect the variety regulation of critical rainfall better
综合分析结果表明克里金空间插值分析方法能较好反映临界雨量的变化规律，具有较好的通用性和可操作性。 |
| 6. | The analysis and design class diagram are given . the sequence indication stochastic simulation algorithm based on indicator kriging is realized . the algorithm applies to discrete and continuous variable has no restrict to data distribution
系统给出了沉积相随机建模的分析类图和设计类图，实现了基于指示克里金估计的序贯指示随机模拟算法，该算法对离散数据和连续数据都适用，不要求数据的分布特征，可以较好的模拟相特征。 |
| 7. | In the course of simulation , the model has no relation to kriging method , it only use the matrix information of covariance or variogram . so it can conquer the disadvantage that kriging method smooth the geological parameters , and fit the numerical simulation for the geological parameters such as permeability whose values change quickly and largely . it can estimate the distribution of extra high value and extra low value of permeability more perfectly and more accurately , which the geologist and field engineer mainly care for
在模拟过程中，克里金方法本身不与模型发生关系，它仅利用协方差或变异函数这个矩信息，这样就克服了克里金方法对参数的光滑效应，使得其适用于象渗透率这样变化幅度较大的地质参数的数值模拟，对地质专家和油藏工程师最关心的渗透率的特高值或特低值的分布情况预测更为全面、准确。 |
| 8. | The method of sequential indicator stochastic simulation firstly make the geological information discretization code , normally two indicator variables of 0 and 1 . then make the kriging theory act on the variables to get the kriging estimation of indicator variables , namely estimation of probability distribution of the variables in a unknown position
序贯指示随机模拟方法首先将地质信息进行离散编码，通常编码成0与1两值的指示变量，然后将克里金的基本思想用于指示变量，最终得到指示变量的克里金估计，即未知位置变量的概率分布的估计。 |
| 9. | Through the above researches , such conclusions were drawn that in the course of fitting the semivariogram of the yearly annual mean rice water sensitivity index in yunnan , the fitting precision of ordinary kriging spherecial model is better than others ; range at the direction of 80 . 5 degree is outstanding than others ; as for the precision of interpolation , ordinary kriging spherecial model is higher than others
研究表明：云南水稻多年平均水分敏感指标变异函数以普通克里金球状模型拟合最优、 80 . 5度方向变程最大、插值模型以普通克里金球状模型插值精度较高。 |
| 10. | Contraposed disadvantage of krijing estimation on prediction oil reservoir , bayes - krijing estimation technique are studied to predict oil reservoir parameter because krijing estimation depend on well data to predict oil reservoir , while the wells is few , it is limited . here bayes - krijing estimation technique is studied to predict oil reservoir . the seismic data and the well data are combined in bayes - kerijing estimation to predict oil reservoir parameter
本文提出贝叶斯克里金估计技术可以将少量精度高的井点数据和大量精度低的地震数据有机结合，充分发挥各种数据的作用，完成对大范围的油藏参数的预测，提高预测精度。 |
