Professor

Reservoir Simulation Applications
History Matching Reservoir Forecasting Reservoir Performance optimization Sensitivity Analysis Risk Assessment through Stochastic Simulation Assessment ofUncertainty in Forecasting Value of Information Studies Reservoir Management

CPGE

Computational Complexity
Geology/Reservoir characterization Physical property modeling EOR processes Computationaltools
Complex Reservoir Simulators CPU/Memory Consumption

CPGE

Benefits of Clusters
Scalability High Performance Computing Low Cost Availability

CPGE

Computational Mode

Distributedprocessing

•

Multiple Data Set/Multiple Processors

Parallel processing

•

Single Data Set/Multiple Processors

CPGE

Distributed Processing on Cluster of PCs

Chamber_1

Chamber_2Chamber_3

Chamber_n

BLACK BOX (AI)

Batch Queuing System

P1

P2

P3

Pm

n >> m

Post Processing
CPGE

Cluster Simulation System
Data Generator for a specific flowsimulator

Cluster Scheduler

Input_3

Sim_3

Input_n

...

Sim_m

Base Case Input Data

...

Archiver

Input _2

Sim_2

Project Advisor

Output

User Input

CPGEPost-Processor

Input _1

Sim_1

IRSP - Integrated Reservoir Simulation Platform
Design and implement a platform to do: • Stochastic Simulation (e.g. Monte Carlo) • Sensitivity Study (UncertaintyAnalysis) • Optimization of Reservoir Parameters • Research on:
Investigating and verifying simple models Studying different methodologies

CPGE

IRSP - Integrated Reservoir Simulation PlatformCMG-STARS Surfer Simulator-1 PBS Economic Graphical
Input File Inst File Basic Output Files

Simulator-2 GeoStat

MS Office
Data Storage Statist Map Files

MS SQL
Stoc File

Cluster

IRSPSoftware
MATLAB FTP the data back to PC for post -processing

Statist Summa Files

CPGE

System Operation
Cluster

P1 switch

P2

Front End Processor

Pm
CPGE

CPGE-Alborz

8 Nodes...