1.基本概念
测井曲线分布概率与粗化平均方法选择
孔隙度：Arithmetic
岩相：Most of
渗透率：Hormonic Geometry
1.基本概念
Biasing to a Discrete Log
Upscaled facies Raw facies Raw porosity Upscaled porosity
Demo & Exercise
4.Structural Gridding
From Structural Framework to a fully populated property model at any grid cell resolution in just a few clicks!
Fully stair-stepped grid matching the Structural Framework faults and horizons
Cells exist along the well path.
Values assigned to cells based on well log values along the well path.
Upscaled logs used to fill in the 3D grid.
NOTE: An upscaled property will have a [U] following its name in the Property folder in the Models pane.
Input
Output
Structural framework grid
Fault Model
Pillar Gridding
Make Horizons
五、测井曲线粗化
1.基本概念 2.测井曲线粗化过程 3.测井曲线粗化质量控制
1.基本概念
Overview
The Scale up well logs process averages the values to the cells in the 3D grid that are penetrated by the wells. Each cell gets one value per upscaled log. These cells are later used as a starting point for Property modeling.
Structural Gridding
4. Structural Gridding ---- Process
Optional AOI: enables grid creation on a sub-set of the Structural Framework Grid geometry settings
Lognormal Distribution
12 10
Frequency
1,00 0,80 0,60 0,40 0,20 0,00 5 7 9 11 13 15 17 19 21 23 25 27 More Classes LNV
Geometric mean
8 6 4 2 0
Gamma Distribution
地层划分与对比 合成地震记录
构造 解释
N 岩相解释
地层格架垂向网格化
测井曲线粗化
Y 数据分析
储量计算 模型粗化 油藏数模模型 历史拟合 储量吻合 Y Y 井历史生 产数据吻合 N
Y Y
预测模拟
经济评价
输出断层模型到角点网格模型
This process alows the user to create a geocellular grid which can be later populated with properties
1.基本概念
测井曲线分布概率与粗化平均方法选择
Normal Distribution (bimodal)
10
Frequency
1,00 0,80 0,60 0,40 0,20 0,00 5 6 7 8 9 10 11 12 13 14 15 16 More Classes NV
8 6 4 2 0
Arithmetic mean Sandstone porosity is typically normal distributed
Geometric mean Median RMS (Root Mean Squared)
Minimun/Maximum Samples the min/max value of the well log for the cell. Mid Point Pick Random Pick Will pick the log value where the well is halfway through the cell. Picks a log point at random from anywhere within the cell.
14 12 10 8 6 4 2 0 5 10 15 20 25 30 35 40 45 50 55 60 More Classes Gam m a
Frequency
1,00 0,80 0,60 0,40 0,20 0,00
Harmonic mean Shale permeability is typically gamma distributed
3.1 输入层面、地质分层、定义地层接触关系
3. The framework fault model is stored under the active model in the Models pane. 4. Run the Horizon modeling process located under the Processes pane > Structural framework.
Excellent geometry even along the faults Allows more complex modeling Modeling or reservoir engineering view- flexibility &deeper integration
Structural Framework
5. Drop in number of rows equal to the amount of horizon input. Use, e.g., surfaces stored in the Input pane as input. Set horizon types and click OK. Results are stored under the Horizons folder under the active model.
2. Fault framework modeling
2.1 添加断层到断层格架模型
2. Fault framework modeling
2.2 确定断层间关系
2. Fault framework modeling
2.3 断层参数设置
Demo & Exercise
3. Horizon modeling
1.基本概念
AveragiLeabharlann g Methods for Continuous Logs
Averaging method Description
Arithmetic mean Harmonic mean
Typically used for additive properties such as porosity, saturation and net/gross. Gives the effective vertical permeability if the reservoir is layered with constant permeability in each layer. It works well with log normal distributions. It is sensitive to lower values. Normally a good estimate for permeability if it has no spatial correlation and is log normally distributed. It is sensitive to lower values. Will sort the input values and select the center value. Will provide a strong bias towards high values.
3. Horizon modeling
3.2 断层过滤参数设置
3. Horizon modeling
3.3 应用地质规则并生成Zone
QC the Horizons in the display window, if satisfied, continue building the zones through the Horizon modeling process.
Minimun/Maximum
Mid Point Pick Random Pick
Samples the min/max value of the well log for the cell.
Will pick the log value where the well is halfway through the cell. Picks a log point at random from anywhere within the cell.
Sand
Shale
1.基本概念 Treat Log as lines or points
Treat log