参数估算 meaning in English
parametric estimating
parametric evaluation
Examples
- A ndj - 4 type rotary viscometer made in shanghai has been ameliorated and calibrated , and a set of important rheological parameters for the evaluation of rheological properties of slurries has been obtained
1 、对国产ndj - 4型旋转粘度计的改良、校验及其重要流变学参数估算。 - This paper is chiefly to set up a platform of multi - parameter nonlinear study and multi - parameter estimate to reservoir by means of the technology of multi - attribute transformation and neutral network combined with multi - attribute analysis of seismic parameters , reservoir inversion and reconstruction of reservoir geophysical characteristics on the foundation of large numbers researches and data - drive law in prediction of reservoir so as to provide more accurate geology conclusion and exploration deployment scheme in practical application . basing on the mentioned objective above , this paper has analyzed characteristics of many methods of reservoir prediction in the petroleum prospecting and their shortcomings in the practical geology problem of resolution
本文主要目标就是在大量研究技术的基础上，以储层预测研究中的“数据驱动法”为数学物理上的理论基础，通过多属性变换和神经网络技术把地震参数的多属性分析技术、储层反演技术和储层地球物理特征重构的技术思想有机地结合在一起，建立起一套储层多参数非线性的预测研究和储层多参数估算技术平台，最终在实际应用中提供更加准确的地质和勘探部署。 - Based on the theory of retrieving lst through satellite remote - sensing and the characters of semi - tropical climate , topography , vegetation and the noaa / avhrr data in guangxi , the split - window algorithms for retrieving the lst from space , including the kerr algorithm , the becker & li algorithm , the qin algorithm , the franca & cracknell algorithm and some others , were analyzed and compared
根据利用卫星遥感资料反演lst的理论方法，结合广西现有的卫星资料及亚热带气候、地貌、植被等特点，对国内外的kerretal算法、 becker & li算法、 qinetal算法和franca & cracknell算法等10多种反演lst的分裂窗算法及其相关的参数估算方法进行了适用性分析，得出采用辐射率模型中的beckerandli算法计算广西白天的lst比较适用。 - This paper has set up a platform of multi - parameter nonlinear study and multi - parameter estimate to reservoir by means of the technology of multi - attribute transformation and neutral network combined with multi - attribute analysis of seismic parameters , reservoir inversion and reconstruction of reservoir geophysical characteristics on the foundation of large numbers researches and data - drive law in prediction of reservoir so as to provide more accurate geology conclusion and exploration deployment scheme in practical application . besides , concrete example analysis has been made on this technology aiming at different types of oil - bearing reservoir prediction . summing up the characteristic of this technology , this paper point out its further direction in development
基于上述目标，本文主要做了以下几方面的工作：详细分析了石油勘探局中多种储层预测方法的技术特点及本身在解决实际地质问题上的不足之处；在继承前人研究和技术的基础上，以“数据驱动法”为数学物理的理论基础，通过多属性变换和神经网络技术，把地震参数的多属性分析技术、储层反演技术和近年出现储层物理特征重构的技术思想有机地结合在一起，建立起一套储层多参数非线性预测研究和储层多参数估算技术平台；对该项技术针对不同类型含油储层的预测研究做出了具体的实例分析；总结了该项技术的特点，并指出进一步的发展方向。