数模十大黄金法则（阿齐兹）

zbhyork

From Professor Khalid Aziz, Stanford University
– “Ten Golden Rules for Simulation Engineers”, JPT – November 1989, 1157


1. Understand Your Problem and Define Your Objectives
Before you do any simulation:

• Understand characteristics of reservoir

• Understand fluids

• Objective of study clearly stated on paper

• Ask yourself if the objective are realistic

2. Keep it Simple
Start and end with simplest model
Consistent with

• the nature of the reservoir

• Objective of study

• Availability of data

Most sophisticated model available – may not serve your needs
Understand model limitations and capabilities

3. Understand Interaction Between Different Parts
Reservoir not an isolated entity
Connected to

• Aquifers

• Surface facilities

Separation into different components
      • may be inappropriate – neglects interactions
      • when appropriate – can lead to substantial savings
4. Don’t Assume Bigger is Always Better

• Always question size of a study that is limited by the computer

           resources and/or budget

• Greater number of blocks and components do not automatically

translate into greater accuracy and reliability (reverse sometimes true)

5. Know Your Limitations and Trust Your Judgments

• Remember simulation is not an exact science – more of an art

• Trust your judgment – based on analysis of the field or lab observations

• Do simple material balance to check simulation results

6. Be Reasonable in Your Expectations

• Don’t try to get from the simulator what it is incapable of producing

• Remember – if you exclude a mechanism during model development

             – cannot study its effect with that model

7. Question Data Adjustments for History Matching

• Remember HM process does not have a unique solution

• A good HM with inappropriate adjustments to the data will lead to poor predictions

• Pay close attention to physical and geological reasonableness

8. Don’t Smooth Extremes

• Pay attention to extremes in permeability (barriers and channels)

• Be careful in the process of averaging

• Never average out extremes

9. Pay Attention to the Measurement and Use Scales
Measurement values at the core scale may not directly apply at larger block
scale – do influence values at other scales

• Permeability may be a scalar at some small scale – and a tensor at larger scale

• Dispersive terms in our equations are a result of process of averaging

10. Don’t Skimp on Necessary Laboratory Work
Models do not replace lab experiments

• designed to understand the nature of the process

• Or measure essential parameters of the equations being solved

Plan lab work with its end use in mind

bluewhale

值得好好体会。

cccjob699

说得多好，跟哲学一样

风口浪尖

好好的品味

dearcoalball

拜读中。。。。。。

joylin

高手给翻译下呗，放在回报里，装下大尾巴狼

zbhyork

joylin 发表于 2013-10-26 19:08
高手给翻译下呗，放在回报里，装下大尾巴狼

您就是高手，您以前是学的计算机专业吗？

李金刚

高手给翻译下呗  看不太懂

~仲卿寅瑾梓墨~

比较精辟，简单的往往是最好的！~~

joken0019

强烈支持撒，