2. Oral Session
‘‘They Said, truth is in the sour
Integrated Knowledge: refers to a new processes and Vision of producing oil and gas,
which has been facilitated by new information and communication Technology.
A single DataBase for Sonatrach, users from Regions get information from one source.
Multi-discipline collaboration in one Decision Making Point.
Sharing a Best Practice with all Workers at different Level
Linking local Intranet Networks to One Global Network for all Sonatrach and Shareholders
Unique DataBase source, improve Reliability and performance (one job report, one job ticket,
gives one financial report in single database (one source) will be used by all users.
Production data stored at different levels in Regions but only one source was used.
Equipments and spare parts are stored and managed by a single system.
Human Resources skills and expertise must be identified and stored in a single source.
Unified Standards and norms for all structures in the organization.
Shared 3D-visualization may be tailored to each member of the group
09/11/2016 2
3. Oral Session
While the oil and gas industry undeniably focuses a great deal of activity on
“Instrumentation of Oilfield,” little effort has been expended on the role of the
intelligent network as the platform for connecting steak holders with oilfield assets.
Real-time measurements from the well are important but the downhole bandwidth
has previously been very restricted.
The human resource shortage in E&P industry is another factor
which translates into growing requirements for automation within the industry.
Talent development (TD) and retention issues have become more
challenging for organizational leaders in today’s competitive business
environment.
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5. Oral Session
09/11/2016 5
►Harsh economic Conditions
►Operational stuff will not be replaced
►Investments and projects are decreasing
►Increase of Operational Problems
►Pollution and disposable Tasks increasing
6. Oral Session
The petroleum industry is no stranger to large
volumes of data.
Big data can help companies develop the
“digital oilfield”— integrated operations that
unite operational technology (OT) with
information technology (IT) to improve decision
making and enhance operational and business
performance. Adding empirical analytics to
existing physics-based analytics can take the
industry to a new level of business
improvement.
The oil industry is investing millions of dollars
in the infrastructure of digital oilfields in an
effort to increase efficiency and recovery. The
real-time data analysis for the entire field
revealed opportunities to increase the
production in the short-term, as well as the
necessity to adjust the long-term exploitation
strategy. This requires optimization at
different timescales in production operations
and reservoir management. In a real-time
environment, asset value is enhanced to the
greatest degree if all the information is
analyzed and solutions implemented in a
timely manner.
09/11/2016 6
Working in Team
Big Data Acquisition Big Data Management
7. Oral Session
09/11/2016 7
Smart Palm in Dubai providing Real-time Monitoring System
Smart Palm Services:
Use of continuous Real-time streaming data from several business and commercial systems
can assist peoples in real-time monitoring their environment, thus providing the weather
conditions, Market performance analysis.
Smart Palm offer WiFi and phone charging
9. 09/11/2016 9
Artificial Lift:
To produce Oil from depleted reservoirs with
insufficient energy, often requires an artificial
lift method to lift fluids from the bottomhole to
the surface.
Sucker rod pump, Electric submersible pump
and Gaslift are the most common artificial lift
methods used to lowering the bottom pressure
and powering the lift energy to rise the fluids to
the surface.
Why Gaslift?
When a well water cut reaches 70% overall the
oil rim, the constrained field production will no
longer to be maintained and wells has to be
activated by Gas-lifted to be able to sustain the
field production capacity.
Therefore the need for a Gaslift system as part
of production strategy was raised with the aim to
improve production efficiency.
Gaslift surface Facilities
However, when the entire gathering
network is considered, the optimal
gas-lift injection rate differs from that
which maximizes individual well
production due to the back pressure
effects (the pressure drop observed
across flow lines due to common tie
backs further downstream) imposed
by connected wells further
downstream.
11. Oral Session
09/11/2016 11
Gaslift Instability
The gaslift system become instable by
slugging occurring in the tubing and causes
heading in annulus. In Flowline causing
slugging impacting the Flowline security and
facilities equipment (manifold and separators).
Field Monitoring Constraints
With many Oil wells to visit the operators
could, at most, get one data point per well per
day.
The data then had to be manually entered into
a database quickly and accurately.
Even if the data was accurately gathered and
entered, the data collection rate of once per
day led to lag time in responding to issues that
impacted costs and production and Decision
mad will be late for the next day.
Manual Optimization
Gas injection not controlled (operator make adjustment to lift the well)
Over injection of gas several time (squeezing the gas in formation)
Hydrate formation in contact with water in Cold period (Well head)
Well Startup with high GOR ( impact on Production line and facility)
Production more formation salty water
Slugging flow in pipeline impact separator back pressure to flare
Gas cycling overall the night until the operator intervention.
Loss of free Gas without lifting liquid
Manual Monitoring
Manual monitoring methods are not the
most effective method to prevent over-
injection of Gas that caused Slugging
and bottleneck the Oil production by High
Velocity of Gas cycling in the wells.
Gaslift: Normal Behavior
•Consistency between Injection Pressure and Qinj
•Continuous and stable injection rate
•Optimum and stable Well Head Pressure and rate
•No Heading and vibration in Casing Head
•Sustainable Production (Oil, Gas, Water)
To avoid all these problems listed above, the necessity to control the gas
injection rate for every well is primordial to optimize gas-lift at field scale .
Gaslift Instability
12. Oral Session
09/11/2016 12
Investigation of Network Performance?
The objective of this analysis workflow is to
quickly identify underperforming wells or areas in
the Network, Gaslift Production performance and
wells needs urgent intervention (Stimulation
candidates).
The workflow requires very few data; only
production data, injection data and well locations
are necessary to run the workflow. Additional
data, such as pressure measurements, basic
petrophysical properties, PVT data, etc. help to
increase the accuracy of the candidate list.
The output of the workflow is a ranked list of
opportunities for Production optimization or of
suggested candidates for Gaslift injection
adjustment, Stability, cleanout or Stimulation.
Network Performance Check list
Ranked list of wells with poor performance
List of Gaslift wells that show poor performance
Part of Network that perform poorly compared
to
Other Parts (friction, slugging, scale deposition)
Zones of Gaslift Network, where injection
allocation are not as effective as in other areas.
Identification of flow barriers or Bottleneck
A sensitivity study including analysis of various
production performance options.
Real Time Information
The quality of available information determines
the quality of operating decisions, whether
related to safety, production performance,
reliability, asset health, or cost management.
The right information, delivered at the
right time, to the right person can enable to:
Identify risky operating conditions and provide
guidance on how to resolve these critical safety
issues.
Provide true real-time operational data to
onshore operations centers.
Share that data with subject matter experts,
regardless of location.
Enable dynamic production optimization –
including model predictive control – to ensure
repeatable, safe, and profitable operating
strategies
Identify changes in equipment performance,
problems and avoid failures.
Remotely monitor real-time asset health for
predictive maintenance practices, allowing
prioritization and planning of maintenance at the
best cost and schedule.
Provide specific, targeted information to
maintenance personnel
on equipment problems, including which tools,
parts, and work
processes are required to correct problems.
13. Oral Session
09/11/2016 13
Gas lift Optimization Method :
Using PIPESIM multiphase flow simulator for well performance
deliverability to control the production rate against the gaslift
injection rate .
Performing iterations on well parameters, to generate some
simulations to identify parameters that have direct impact on
wells performance (potential) and production system.
Building a well model.
Data Gathering and selecting Data input;
Performing multiphase flow correlation matching to select the
appropriate correlation.
Validate the single Well model for each well.
Make different sensitivity tests by P/T profile, Nodal analysis,
System Analysis, VFP Tables, to see the well behaviour while
the parameters changed.
Artificial Lift: Check the Gas Lift opportunity by running:
Gas lift performance curve for deferent scenarios.
Select the deepest injection point.
Optimize Gas Lift parameters taking the worst case into
account.
14. Oral Session
09/11/2016 14
Gas lift Optimization Method :
The quality of available information determines the quality of operating decisions,
whether related to safety, production performance, reliability, asset health, or cost
management. The right information, delivered at the
right time, to the right person can enable to:
Identify risky operating conditions and provide guidance on how to resolve
these critical safety issues.
Provide true real-time operational data to onshore operations centers.
Share that data with subject matter experts, regardless of location.
Enable dynamic production optimization – including model predictive control –
to ensure repeatable, safe, and profitable operating strategies
Identify changes in equipment performance, problems and avoid failures.
Remotely monitor real-time asset health for predictive maintenance practices,
allowing prioritization and planning of maintenance at the best cost and schedule.
Provide specific, targeted information to maintenance personnel
on equipment problems, including which tools, parts, and work
processes are required to correct problems.
16. Oral Session
Conclusion& Recommendations
PIPESIM optimization in Real time help to identify
the current parameters, Liquid flowrate, Gas
injection pressure, Water cut, Gas allocation and
Production Network optimization based on the
accurate and reliable parameters measured by
sensors and collected by local RTU for processing
and transmission to MTU and offices.
1. Data compared to manual monitoring
2. Data corrected and compared to current
values
3. Data optimized by adjusting parameters
4. Data edition as final parameters to be applied
in the field for adjusting deviations.
Conventional Gaslift valve is a fixed orifice size
and require slickline to resize it when reservoir or
fluid conditions change, so smart downhole control
valves are necessary to prevent so much gas
entering or change in design conditions.
Above all, the value of Digital mature fields lies in
their ability to allow operators active control of their
asset to maximize recovery and optimize
production.
Big Data: this plethora of data must be handled
by the system in appropriate manner to cover all
the field to integrate all software and surveillance
tools.
Alarms management is another challenge to
prioritize strategies and intervention for each
segment.
References
SPE 124926, “Real-Time Diagnostics of
Gas Lift Systems Using Intelligent Agents:
A Case Study,”
Weatherford "Gaslift optimization solution"
Kirkpatrick, "Advances in Gaslift
technology" API Dril. and Prod Prac
(1959)
Gas lift Herald W. Winkler, Consultant.
F.Rashidi, Ehsan Khamehchi "Oil field
optimization based on Gaslift
optimization", Faculty of chemical
engineering, Amir Kabir University of
technology.
P wang, Standford university USA
"Optimization of Production from Mature
Fields"
Bin Hu "Characterizing Gas-lift
instabilities" Petroleum engineering and
applied Geophysics Norwegian university
of science and technology.
"Gas lift Design Guide" Artificial lift manual
part 2A
"Real Time Production Optimization and
reservoir Management ", Dr Luigi Saputelli
Landmark Graphics Halliburton
"Production optimization using Nodal
analysis" H.Dale Beggs
Shiu and Beggs "Predicting temperature
in flowing oil wells.
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