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Allocation accuracy with virtual flow meter

98%


Well-test accuracy

Time🠛


To detect irregular performance

OPEX🠛


With accurate chemical injection

Challenge

Challenge

  • Lack of continuous well production rate measurements leads to late detection of production deferment

  • Automation of production workflows is not possible without real-time production rates

Solution

Solution

Edge intelligence-enabled data and physics-driven workflows to:

  • calculate real-time single and multiphase liquid flow rate

  • calculate oil production phases using measured water cut (ad hoc)

  • detect production loss early

Liquid unloading optimization setpoint

17%🠙


Production Increase

75%


Reduction in crew visits

11.5 k🠛


Reduction in tons of CO2

Challenge

Challenge

Natural flow:

  • Liquid loading in wells decreases gas productivity

  • Requires manual intervention to shut in and unload wells

Foam-assisted lift:

  • Insufficient chemicals injected

Solution

Solution

Edge intelligence-enabled data and physics-driven workflows to:

  • automate control of surface choke for well shut-in for liquid unloading

  • optimize chemical injection (quantity of chemical and injection schedule)

Pump on demand—scaling and corrosion

>97%


Inhibitor injection precision

OPEX🠛


Reduced

2X🠙


Well Uptime

Challenge

Challenge

  • Late detection of flow assurance issues results in suboptimal well treatment

  • Reactive treatments lead to unplanned interventions and production deferment

  • Increased OPEX

Solution

Solution

Edge intelligence-enabled data and physics-driven workflows to:

  • predict wellbore scaling and corrosion indexes

  • automate inhibitor (chemical) injection through process-controlled pumps

  • optimize chemical consumption and inventory

Data-driven gas lift optimization and control

>5%


Cumulative oil production increment

>90%🠛


Reduction of manual intervention for optimization

100%🠙


Data driven optimization. No use of well models

Challenge

Challenge

  • Transient conditions create issues in scaling-up of effective gas lift optimization solutions through simulation-based models

  • Total cost of ownership for subscribing, maintaining, and calibrating physics-driven models is high

Solution

Solution

  • 100% data driven, based on measurements (gas lift injection parameters, well production flow rates of different phases) creating a model-free optimization set-up generation

  • Edge enablement through Agora edge AI and IoT solutions for gas injection rate setpoint communication to the flow control valve (FCV) on the gas lift injection line per well

  • Operational constraints are accounted for in the optimization scheme including available gas volume for injection, surface bottle necks for liquid handling, offtake economics, and water disposal costs

  • In cases where automated FCVs are not available, a complete closed loop system to be provided

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Production Micro Solutions Catalog

 

Production impairment mitigation

Lift solutions efficiency

Flow assurance

Sustainability

Gas fields

Auto choke control
Foam injection
Plunger lift
Virtual rate estimator
Surface equipment PHM
Foam injection
Plunger lift
Sand influx prediction
Water influx predictor
In-situ BSW measurement
Power optimization
Emission monitoring
Schedule optimization with AI

Oil fields

Water injector control
Water disposal control
Water flood automation
Virtual rate estimation
Surface equipment PHM
In-situ fluid quality assurance
Annular gas
ESP and ICV optimization
SRP ML remote opteration
ESP optimization
ESP PHM
Continuous GLO
Pump on demand
Sand influx prediction
In-situ BSW measurement
Power optimization
Emission monitoring
Schedule optimization with AI

Unconventional/tight

ML for frac placement
Production forecasting
Virtual rate estimation
Surface equipment PHM
Auto choke control Pump on demand
Sand influx prediction
In-situ BSW measurement
Power optimization
Emission monitoring
Schedule optimization with AI

Conventional

Water injector control
Water disposal control
Water flood automation
Virtual rate estimation
Surface equipment PHM
In-situ fluid quality assurance
Annular gas
ESP and ICV optimization
SRP ML remote opteration
ESP optimization
ESP PHM
Continuous GLO
Pump on demand
Sand influx prediction
In-situ BSW measurement
Power optimization
Emission monitoring
Schedule optimization with AI

KEY
BSW: Basic sediment and water | ESP: Electric submersible pump | GLO: Gas lift optimication | ICV: Inflow control value | ML: Machine learning | PHM: Prognostic health management | SRP: Sucker rod pump

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