This document summarizes the process of reservoir modeling and simulation for the Saldanadi Gas Field in Bangladesh using Petrel 2009.1.1 and FrontSim software. The workflow includes collecting seismic, well, and production data; interpreting horizons and faults from seismic lines; developing structural and stratigraphic models; modeling properties; simulating initial conditions and production; and history matching simulation results to field data. The objectives are to better understand reservoir characteristics, locate new wells, and forecast production and investment needs to further develop the field.
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Reservoir Modeling with Petrel
1. 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
3. 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
4. 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
5. 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.
6. 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)
13. 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.
23. PROPERTY MODELING
ï‚¢ Scale up well logs
ï‚¢ Data analysis
ï‚— Discrete data analysis
ï‚— Continuous data analysis
ï‚¢ Facies modeling
ï‚¢ Petrophysical modeling
35. 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.