reservoir parameter

Application of MATLAB mathematics software in reservoir engineering model parameter determination

MATLAB数学软件在油藏工程模型参数求解中的应用

Distribution of reservoir physical parameter is always the bottleneck problem and difficulty of reservoir description.

储层物性参数的分布一直是油藏描述的关键问题和难点.

The reservoir parameter forecast is important for oil-gas exploration.

储层参数预测是油气勘探的重要研究内容.

Study of reservoir parameter change after water injection in high water-cut oilfield

高含水油田注水后油藏参数变化规律研究

The river reach roughness is a important parameter for calculating reservoir and hydropower station backwater and determining submerge and move line.

河段糙率是计算水库、水电站回水和确定淹没搬迁线的重要参数。

Two kinds of neural networks forward network ( BP) and self organizing feature mapping network ( SOM) were used in reservoir parameter simulated calculation and horizon type prediction respectively.

根据这一储层特点，用前向（BP）网络建立储层参数的仿真计算，然后用自组织映射特征（SOM）网络来预测油层类别。

Reservoir Parameter Forecast in the Plane and Mop in the Space

储层参数平面上的预测和空间展布

Permeability is an important parameter for a oil reservoir characterization and engineering.

渗透率是油藏描述和油藏工程中一关键性的参数.

Meanwhile, integrating depositional microfacies modeling with stochastic reservoir parameter prediction recommended for further modeling practices.

文中同时指出, 进一步的实践中可考虑沉积学微相建模与随机参数预测结合的思路.