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RESERVOIR MODELING WITH PETREL
2009.1.1 AND SIMULATION RUN WITH
FRONTSIM
Presented by
Adeeba Rahman Setu
1007006
Supervised by
Mr. Tareq-Uz-Zaman
Assistant Professor
Department of Petroleum & Mining Engineering
SELECTED FIELD
Saldanadi Gas Field, Bangladesh
INTRODUCTION
Importance of Reservoir Modeling
o For new fields, 3D models may help development of the
wells by identifying
 the number of wells required,
 the optimal completion of wells,
 the present and future needs for artificial lift and
 the expected production of oil, water and gas.
o For already developed fields
 to locate new well to increase oil and gas production
ï‚¢ Modeling a reservoir with Petrel
ï‚¢ Interpretation of seismic data for pick horizons for
delineating seismic horizon
ï‚¢ Identifying faults in the area of study
ï‚¢ Delineating structure for the purpose of reservoir
modeling
ï‚¢ To correlate wire-line log and seismic data
ï‚¢ To create simulation of a reservoir model
ï‚¢ Simulation run with FrontSim
ï‚¢ History matching
OBJECTIVES OF STUDY
WHY SOFTWARE IS USED IN THE THESIS?
ï‚¢ Analytical methods generally cannot capture all the
details of the given reservoir or process.
ï‚¢ In modern reservoir engineering, they are generally
used as screening or preliminary evaluation.
ï‚¢ Reservoir simulation models are used by oil and
gas companies in the development of new fields.
ï‚¢ Models are used in developed fields where
production forecasts are needed to help make
investment decisions.
ï‚¢ Improvements in simulation software have lowered
the time to develop a model.
PREVIOUS MODELS DONE BY PETREL
ï‚¢ Hugoton field (Hugoton and Panoma in Kansan and
Guymon-Hugoton in Oklahoma)
ï‚¢ Norne offshore Field
ï‚¢ Sand bodies in reservoir in the Mumbai Offshore Basin
ï‚¢ Beani Bazar Gas Field (Bangladesh)
ï‚¢ Saldanadi Gas field etc. (Bangladesh)
WORKFLOW
COLLECTED DATA
ï‚¢ Seismic Data
ï‚¢ Well Head Data
ï‚¢ Deviation Data
ï‚¢ Wireline Log Data
ï‚¢ Petrophysical Data
ï‚¢ Production Data
RESERVOIR MODELING
PROCESS
GEOPHYSICS
ï‚¢ Seismic Interpretation
ï‚— Seismic lines Interpretation
ï‚— Horizon Interpretation
ï‚— Fault interpretation
ï‚¢ Domain conversion
SEISMIC LINES
HORIZON INTERPRETATION
FAULT INTERPRETATION
ï‚¢ In the structure of this study there is no fault
identified but as a requirement of Petrel software a
fault has been interpreted.
DOMAIN CONVERSION
Time domain
Depth domain
STRATIGRAPHIC MODELING
ï‚¢ Well Correlation
ï‚¢ Making Well Tops
ï‚¢ Synthetic Seismogram
WELL CORRELATION
MAKING WELL TOPS
SYNTHETIC SYSMOGRAM
STRUCTURAL MODELING
ï‚¢ Fault modeling
ï‚¢ Pillar gridding
ï‚¢ Making horizons
ï‚— Making zones and layers
ï‚— Making contacts
MAKING ZONES AND LAYERS
MAKING CONTACTS
FLUID CONTACTS
PROPERTY MODELING
ï‚¢ Scale up well logs
ï‚¢ Data analysis
ï‚— Discrete data analysis
ï‚— Continuous data analysis
ï‚¢ Facies modeling
ï‚¢ Petrophysical modeling
FACIES DESIGN
PETROPHYSICAL MODELING
Porosity distribution
Permeability distribution
WELL ENGINEERING
Well completion design
SIMULATION
ï‚¢ Simulation results
ï‚— Initial condition of different properties
ï‚— Saturation function
ï‚— Pressure decline curve
ï‚— Streamline
SIMULATION RESULTS
Initial condition of different properties
PRESSURE CURVE
STREAMLINE
HISTORY MATCHING
Field Gas Production Rate Matching
Saldanadi-2 Gas Production Rate Matching
Saldanadi-2 Tubing Head Pressure Matching
CONCLUSION
In previous a static model was developed on this
structure. A dynamic model along with simulation
run has been developed in my thesis work.
Further to develop this reservoir:
ï‚¢ More attention should be given on new well drilling
study.
ï‚¢ It is recommended to carry out 3D seismic survey
before attempting any further drilling campaign over
Saldanadi field.
THANK YOU ALL…

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