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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

Reservoir Modeling with Petrel

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Page 1: Reservoir Modeling with Petrel

RESERVOIR MODELING WITH PETREL 2009.1.1 AND SIMULATION RUN WITH FRONTSIM

Presented byAdeeba Rahman Setu

1007006Supervised by

Mr. Tareq-Uz-ZamanAssistant Professor

Department of Petroleum & Mining Engineering

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SELECTED FIELD

Saldanadi Gas Field, Bangladesh

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INTRODUCTIONImportance 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

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Modeling a reservoir with Petrel Interpretation of seismic data for pick

horizons for delineating seismic horizon Identifying faults in the area of study Delineating structure for the purpose of

reservoir modeling To correlate wire-line log and seismic data To create simulation of a reservoir model Simulation run with FrontSim History matching

OBJECTIVES OF STUDY

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WHY SOFTWARE IS USED IN THE THESIS?

Analytical methods generally cannot capture all the details of the given reservoir or process.

In modern reservoir engineering, they are generally used as screening or preliminary evaluation.

Reservoir simulation models are used by oil and gas companies in the development of new fields.

Models are used in developed fields where production forecasts are needed to help make investment decisions.

Improvements in simulation software have lowered the time to develop a model.

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PREVIOUS MODELS DONE BY PETREL

Hugoton field (Hugoton and Panoma in Kansan and Guymon-Hugoton in Oklahoma)

Norne offshore Field Sand bodies in reservoir in the Mumbai Offshore

Basin Beani Bazar Gas Field (Bangladesh) Saldanadi Gas field etc. (Bangladesh)

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WORKFLOW

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COLLECTED DATA Seismic Data Well Head Data Deviation Data Wireline Log Data Petrophysical Data Production Data

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RESERVOIR MODELING PROCESS

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GEOPHYSICS Seismic Interpretation

Seismic lines Interpretation Horizon Interpretation Fault interpretation

Domain conversion

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SEISMIC LINES

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HORIZON INTERPRETATION

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FAULT INTERPRETATION

In the structure of this study there is no fault identified but as a requirement of Petrel software a fault has been interpreted.

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DOMAIN CONVERSION

Time domain

Depth domain

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STRATIGRAPHIC MODELING

Well Correlation Making Well Tops Synthetic Seismogram

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WELL CORRELATION

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MAKING WELL TOPS

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SYNTHETIC SYSMOGRAM

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STRUCTURAL MODELING Fault modeling Pillar gridding Making horizons

Making zones and layers Making contacts

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MAKING ZONES AND LAYERS

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MAKING CONTACTS

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FLUID CONTACTS

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PROPERTY MODELING Scale up well logs Data analysis

Discrete data analysis Continuous data analysis

Facies modeling Petrophysical modeling

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FACIES DESIGN

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PETROPHYSICAL MODELING

Porosity distribution

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Permeability distribution

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WELL ENGINEERINGWell completion design

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SIMULATION Simulation results

Initial condition of different properties Saturation function Pressure decline curve Streamline

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SIMULATION RESULTSInitial condition of different properties

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PRESSURE CURVE

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STREAMLINE

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HISTORY MATCHINGField Gas Production Rate Matching

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Saldanadi-2 Gas Production Rate

Matching

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Saldanadi-2 Tubing Head Pressure

Matching

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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: More attention should be given on new well

drilling study. It is recommended to carry out 3D seismic

survey before attempting any further drilling campaign over Saldanadi field.

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THANK YOU ALL…