Authors :
Okafor Chukwudi Victor; Loyibo Emmanuel
Volume/Issue :
Volume 9 - 2024, Issue 1 - January
Google Scholar :
http://tinyurl.com/nhfwh9s6
Scribd :
http://tinyurl.com/5yd6n5mm
DOI :
https://doi.org/10.5281/zenodo.10622767
Abstract :
The future of global energy production is
quite unknown; various agencies and international
entities have led talks and publications claiming that the
oil production has peaked in conjunction with a
significant increase in energy consumption. Companies
will have to rethink and reassess their current and future
production strategies even more. The purpose of this
paper is to show how gaslift can be used to boost oil
production output. The petroleum sector has undergone
significant changes in its operations, and in order to
maximize profits by increasing production, adequate
process optimization of all procedures, including
artificial lift, is required. A well-executed gaslift
technique could bring about a sustainable decrease in
operating cost over time of a project and as such give a
high profit output. Gaslift is a widely used technique for
enhancing oil recovery from reservoirs in the oil and gas
industry, Gaslift Optimization is the process of
maximizingoil production through injecting gas into the
wellbore to diminish hydrostatic pressure and augment
the fluid flow rate. Gaslift Optimization is an important
area of research aimed at improving the productivity
and efficiency of oil and gas fields. In this study, I
investigated the use of Sequential Quadratic
Programming (SQP) technique for Gaslift Field
Optimization technique that has been applied to various
fields including economics, engineering and finance. The
SQP algorithm is well-suited for Gaslift Optimization
because it can handle non-linear constraints and
efficiently solve large-scale optimization problems. It can
also handle multiple objective functions and constraints
simultaneously. In addition, the algorithm can be
modified to include different types of constraints such as
production constraints, gas injection constraints and
pressure constraints.
The main objective of this research is to develop an
optimization model that maximizes the oil production
rate while minimizing the operational cost of Gaslift. The
study involves the development of a non-linear
mathematical model that represents the Gaslifts field
network, which is then optimized using the SQP
technique. The model is then validated using field data
from a selected oil and gas field. The research also
investigates the real impact of several parameters such
as wellhead pressure, gas injection rate and chokes size
on the performance of the Gaslift field network. The
findings of this research will provide valuable insights
into the use of SQP technique for Gaslift field
optimization, which can then be applied to improve the
productivity of oil and gas fields.
The future of global energy production is
quite unknown; various agencies and international
entities have led talks and publications claiming that the
oil production has peaked in conjunction with a
significant increase in energy consumption. Companies
will have to rethink and reassess their current and future
production strategies even more. The purpose of this
paper is to show how gaslift can be used to boost oil
production output. The petroleum sector has undergone
significant changes in its operations, and in order to
maximize profits by increasing production, adequate
process optimization of all procedures, including
artificial lift, is required. A well-executed gaslift
technique could bring about a sustainable decrease in
operating cost over time of a project and as such give a
high profit output. Gaslift is a widely used technique for
enhancing oil recovery from reservoirs in the oil and gas
industry, Gaslift Optimization is the process of
maximizingoil production through injecting gas into the
wellbore to diminish hydrostatic pressure and augment
the fluid flow rate. Gaslift Optimization is an important
area of research aimed at improving the productivity
and efficiency of oil and gas fields. In this study, I
investigated the use of Sequential Quadratic
Programming (SQP) technique for Gaslift Field
Optimization technique that has been applied to various
fields including economics, engineering and finance. The
SQP algorithm is well-suited for Gaslift Optimization
because it can handle non-linear constraints and
efficiently solve large-scale optimization problems. It can
also handle multiple objective functions and constraints
simultaneously. In addition, the algorithm can be
modified to include different types of constraints such as
production constraints, gas injection constraints and
pressure constraints.
The main objective of this research is to develop an
optimization model that maximizes the oil production
rate while minimizing the operational cost of Gaslift. The
study involves the development of a non-linear
mathematical model that represents the Gaslifts field
network, which is then optimized using the SQP
technique. The model is then validated using field data
from a selected oil and gas field. The research also
investigates the real impact of several parameters such
as wellhead pressure, gas injection rate and chokes size
on the performance of the Gaslift field network. The
findings of this research will provide valuable insights
into the use of SQP technique for Gaslift field
optimization, which can then be applied to improve the
productivity of oil and gas fields.
