PetroVisor App : Artificial Lift Optimization

Artificial Lift Optimization

Developed to enhance operational efficiency and increase production gain for upstream oil and gas operations. 

 

Artificial Lift Optimization

Artificial lift operations require regular monitoring and optimization in order to function properly. Optimization is challenging due to the complexity of distribution network restrictions, plant interactions, wellbore, and reservoir difficulties. Due to the changing status of the field and individual well conditions, repeating the optimization process becomes even more challenging.

PetroVisor helps reduce production delays by automating essential computations with analytical, data-driven, and physics-based processes. The PetroVisor Artificial Lift Optimization app offers optimization capabilities for the most common artificial lift systems, including electric submersible pumps, rod pumps, progressive cavity pumps, plunger lifts, gas lift systems, and jet pumps.

GROUP2 - Artificial lift optimization

A Simplified Approach to Artificial Lift Optimization

1
Connect

to all disparate data sources regardless of type or location

2
Characterize

all related data in a single, unified data layer for consistent answers

3
Consume

data and analytics in real-time with machine learning

App Workflows & Features

The workflow package provides an advisory scoring system which artificial lift system method should be chosen that fits best your well among the following: an electrical submersible pump, jet pump, gas lift, sucker rod pump, progressive captivity pump.

Monitors wellhead pressure, bottom hole pressure, and temperature measured values. The algorithm creates tag entries if user-specified thresholds are exceeded or rapid change in measured values. It can be connected with the PetroVisor alarm system to notify users about any abnormalities.

Monitor jet pump operation and detect when cavitation occurs or the Mach number approaches 1.

This workflow package identifies technically and economically feasible solutions to prevent/resolve liquid loading.

One of the main challenges in plunger lift installations is to have the correct algorithm that controls and optimizes each phase of the plunger cycle. PetroVisor offers a plunger lift optimization solution that combines physics and ML data-driven methods to determine the optimum setting points and support anomalies detection efforts. The solution helps to evaluate the status of the well and suggest adjustments to optimize plunger cycles and maximize production. Needed KPIs are available for monitoring & surveillance.

Correctly estimating multiphase flow rates in oil and gas production systems is essential for monitoring and optimizing the production systems. Analytical and machine learning solutions provide alternatives to the traditionally used physical multiphase flow metes (MPDFMs) as an alternative solution to production testing.

The package includes workflows to monitor the stability of gas lift inflow response and pressure depletion response and algorithms to calculate the volumetric gas throughput of an orifice choke and compare it with the measured rates to detect the potential multiple-injection problem.

The Sucker rod pump analysis workflow package provides several KPIs which serve as a diagnostic tool for the rods and pump conditions. In its essence, the solution uses dynamometer card data to help clients identify rod pump problems, estimate production volumes, and perform stress analysis along the rod string. It also predicts the health status of the downhole card, revealing the root cause of underperformance using the ML model.

Automated actual efficiency, head, wear, and head factor calculations are available for the wells to estimate the current operating conditions. The workflow package also tracks when the pumps are outside of the predefined normal conditions and assesses the cumulative violence of the wells. Additionally, the solution provides anomalies detection capabilities using fuzzy logic.

App Benefits

PetroVisor provides a single place for performance monitoring & surveillance methods and complex (predictive analytics) capabilities, including the computation of surface and subsurface-related KPIs while ensuring consistent data access, automated reporting options, and continuous optimization. Depending on the installed artificial lift, PetroVisor computed the appropriate KPIs and investigated the possibilities of production optimization. This approach adds increased production and financial gain to the fields while extending the life of operations and ultimate recovery of the reservoirs.

  • Created with Lunacy
  • Created with Lunacy
Performance Monitoring

PetroVisor allows the base to change from a reactive to proactive operating strategy, giving rise to early identification of faults while avoiding production deferment, by providing automatic performance monitoring of any selected metrics and connecting to an alert system.

Identify Underperforming Wells

Automation capabilities reduce the time and effort of manual well review by providing an intelligent advisory solution with ranked well candidates that are underperforming and need further investigation.

Link Surface to Subsurface Data

Live connection between surface and subsurface-related components grants to find the root cause of issues and potential problems while providing the best counteractions to the end-user.

14-Artificial-Life-Optimization
PetroVisor Platform Architecture

PetroVisor allows your team to utilize the applications and analytics tools they already know and love while accessing data that lives anywhere by connecting to any source of data, whether it's on-premise, in the cloud, or across a hybrid cloud environment.

Additional Resources


 

5 - Artificial Lift Optimization card1
USE CASE

Identification And Prediction Of Liquid Loading in Gas Wells

5 - Artificial Lift Optimization card2
USE CASE

Stability Assessment & Performance For Gas Lift Optimization

5 - Artificial Lift Optimization card3
USE CASE

Anomaly Detection Of Pumps And Surface Facilities