Production Optimization for Surface Network Modeling By Using Integrated Production Modeling (IPM)

Abd Halim, Md Azri (2011) Production Optimization for Surface Network Modeling By Using Integrated Production Modeling (IPM). [Final Year Project] (Unpublished)

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Abstract

Production optimization is very important since it is a method to improve the production
with increase the production and reduce the operating cost. In this project, the scope
study would be to investigate the best case of the surface network model that will use to
increase the production in the field. Economy evaluation for each case in the model
should be done in order to determine the profitable project which will give the optimum
production and reasonable cost. Cases that can be done in this project would be the field
which will produce naturally and with support by artificial lift such as gas lift.
The area that will do for project is Pentagon cluster. It is located in the MS-325
block. In this cluster, it will divide them into 5 fields which are field A, field B, field C,
field D and field E. Currently all the wells is producing naturally which means that it
should be produce without any artificial lift support and will considered as the base case.
After integrate the surface network model for this cluster, the average annual production
is for every year is about 2.350 MMSTB while the pressure at separator after make some
sensitivity analysis is 877 psig. The problems that facing in this project is wells in field
B where it has less annual production although the oil production that can recovered in
this field is high . It is due to the insufficient pressure draw-down which is to produce
the oil. It can be the characteristics of reservoir or well which is not good enough to
produce the oil.
Hence, optimization study should be done in order to determine the method which
can increase the production. The optimization that will do in this project is use the gas
lift support at all wells in field B as the method to improve the production. The gas lift
rate that use from the sensitivity analysis is I 00 SCF /STB. Thus, the prediction
production should be done for both cases in order to get the production forecast. From
this prediction, it is easier to know the effect of gas lift in the field by looking the annual
production and bottomhole pressure for pentagon cluster. Once integrate the model,
economy evaluation should be done in order to know the economical of this project for
both cases when the field is producing naturally or with support by gas lift. From the
study, the cases that will consider in this project are the field which is producing
naturally. It is because costs that use in to design the gas lift well are increasing than the
cost that will get from the oil production.

Item Type: Final Year Project
Subjects: T Technology > T Technology (General)
Departments / MOR / COE: Geoscience and Petroleum Engineering
Depositing User: Users 2053 not found.
Date Deposited: 13 Nov 2013 15:47
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/10574

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