Production optimization of gas field

1. DEPARTMENT OF PETROLEUM AND MINING ENGINEERING
CHITTAGONG UNIVERSITY OF ENGINEERING AND TECHNOLOGY
CHATTAGRAM-4349, BANGLADESH
JUNE,2022
Presented by –
Shumick Dev
ID- 1607001
Supervised by –
Dr. Mohammad Islam Miah
Assistant Professor
Department of Petroleum and Mining Engineering
Chittagong University of Engineering & Technology
EVALUATION OF WELL PERFORMANCE AND PRODUCTION
OPTIMIZATION OFA GAS FIELD

2. PRESENTATION OUTLINE
 INTRODUCTION
 OBJECTIVES OF THE STUDY
 LITERATURE REVIEW
 METHODOLOGY
 CONCLUDING REMARKS
 ACKNOWLEDGEMNT

3. INTRODUCTION
 Natural gas is one of the most vital energy sources of Bangladesh.
 As population grows, so does the demand for energy in numerous areas.
 The efficiency of such energy output does not increase in lockstep with consumption.
 The overall usage of natural gas is 994.31 BCF/year and output is approximately 886.39 BCF/year.
 So, there is a natural gas deficit of around 107.38 BCF each year.
 In order to meet the demand , production optimization of the gas fields is very necessary.

4. OBJECTIVES OF THE STUDY
The major objective of the study are listed below:
 To investigate the Inflow Performance Relationship (IPR) and Vertical Lift Performance (VLP) curve.
ii. Evaluate well performance and optimization of production of the gas field.

5. LITERATURE REVIEW
 Production optimization refers to the process of determining and implementing optimum values for
parameters in the production system in order to maximize hydrocarbon production rate.
 For optimization purposes IPR and VLP curve will be generated to find out the optimum flow rate by
considering various sensitivity parameters.
 The optimization process will be done using IPM software.
Fig: Graphical representation of IPR and VLP curve

6. • Water gas ratio
• Condensate gas ratio
• Reservoir pressure, temperature
• Reservoir permeability
• Reservoir thickness
• Skin
• Dietz shape factor
LITERATURE REVIEW-Continued
 Sensitivity analyses parameters are listed below :

7. METHODOLOGY
START
DATA COLLECTION
LEARNING ABOUT IPM
SOFTWARE
MATCH PVT DATAAND GENERATE IPR CURVE
INPUT VARIOUS SYSTEM ANALYSES
PARAMETERS VALUE
GENERATE VLP CURVE
DETERMINE OPTIMUM FLOW RATE
FINISH
SELECT MODEL OPTION

8. CONCLUDING REMARKS
 This study focused on the optimization process by changing the multiple sensitivity
parameters to provide more accurate model of the flow capacity of the reservoir.
 By accurately modeling the reservoir the future production rate can be determined and
the pressure drop that require for the optimized flow rate can also be determined
 The detailed study with results and discussions will present in PME 402 course.

9. Thank you