Date | Time | Duration | Location |
---|---|---|---|
09-Dec 2024 | 8 PM Indian Time Onwards |
3 Hours Per Day - 2 Weeks
|
Zoom Online
|
Artificial Lift & Production Optimization Using Excel
Gain practical skills in artificial lift and production optimization techniques using the power of Microsoft Excel. This course provides hands-on experience in analyzing well performance, optimizing lift systems, and boosting production efficiency.
Description
This comprehensive course equips oil and gas professionals with the knowledge and skills to effectively utilize Microsoft Excel for artificial lift design, analysis, and optimization. Through a combination of expert instruction, real-world case studies, and interactive exercises, participants will learn how to leverage Excel's powerful tools to improve decision-making and maximize production.
Introduction
In today's competitive oil and gas industry, maximizing production efficiency is critical. Artificial lift plays a vital role in optimizing well performance, and Microsoft Excel provides a powerful platform for analyzing data, evaluating lift systems, and making informed decisions. This course bridges the gap between theoretical concepts and practical application, empowering professionals to enhance their skills and contribute to increased production.
Objectives
Upon completion of this course, participants will be able to:
- Understand the principles of artificial lift systems and their applications
- Utilize Excel to analyze well performance data and identify optimization opportunities
- Design and evaluate artificial lift systems using Excel-based tools and techniques
- Optimize lift parameters to maximize production and minimize operating costs
- Troubleshoot common artificial lift challenges using Excel for diagnosis and analysis
- Apply data visualization techniques in Excel to communicate findings effectively
Training Methodology
This course employs a blended learning approach, combining:
- Expert-led instruction: Experienced industry professionals will guide participants through key concepts and practical applications.
- Hands-on exercises: Interactive exercises will reinforce learning and provide practical experience using Excel for artificial lift optimization.
- Real-world case studies: Analysis of real-world scenarios will demonstrate the application of Excel-based tools in solving production challenges.
- Group discussions and Q&A: Collaborative sessions will encourage knowledge sharing and address individual questions.
Organisational Impact
By implementing the techniques learned in this course, organizations can expect to:
- Increase production efficiency: Optimize artificial lift systems to maximize well output.
- Reduce operating costs: Improve decision-making to minimize downtime and maintenance expenses.
- Enhance data analysis capabilities: Leverage Excel to gain valuable insights from production data.
- Improve operational decision-making: Make informed decisions based on data-driven analysis.
Personal Impact
Participants will gain:
- Enhanced skill set: Develop valuable skills in artificial lift optimization using Excel.
- Increased career opportunities: Become a more valuable asset to their organization or pursue new career paths.
- Improved problem-solving abilities: Apply analytical techniques to address production challenges effectively.
- Greater confidence in decision-making: Make informed decisions based on data analysis and interpretation.
Who Should Attend?
This course is designed for a wide range of oil and gas professionals, including:
- Production engineers
- Reservoir engineers
- Operations personnel
- Field technicians
- Data analysts
- Anyone involved in artificial lift operations and production optimization
Areas:
- Integrated production system concepts
- Fluid characterization
- Pressure loss in the wellbore (Pressure Losses)
- Pressure loss in the reservoir
- Skin components
- Well system performance prediction (Well Productivity)
- Intro artificial lift systems
- Gas lift and ESP systems overview
- Practical well modeling activities
- Formation damage control
- Stimulations
- Well Problem Identification
- Low productivity fluid
- Gas production
- Water production
- Liquid loading on gas wells
- Production optimization
- Naturally flowing well
- Oil and gas production fields
- Discount Revenue
Agenda:
Module 1:
- Well performance and skin as design values
- Features of Nodal Analysis and skin definition
- System analysis approach
- Effect of different components on well performance
- Commercial Nodal Analysis software revision
- Comparing well performance
Module 2:
- Control parameters leading to production optimization
- Skin components: Reservoir skin, flow convergence, intrawell, multiphase flow
- Class exercise: evaluation of skin values for different well completions
- Team work concept
Module 3:
- DST Calculations
- Nodal Analysis
- Tubing size selection
- Effects of stimulation
- Surface chokes
- Gas injection
- Effect of depletion
- Performance vs. Time
Module 4:
- Production system calculations
- Pressure loss in the wellbore
- Pl calculations in a new well
- ESP Design
Module 5:
- Gas lift depth design
- Valve depth calculations
- Unlimited gas calculation
- Limited gas calculations
- Production Optimization Practices
On successful completion of this training course, PEA Certificate will be awarded to the delegates
- JAIRO B. GARCIA is a highly skilled petroleum engineer with a proven track record of optimizing well performance, reducing costs, and driving operational excellence across the well lifecycle.
EXPERIENCE & ACHIEVEMENTS
- WELL OPERATIONS EXPERTISE: Led well operations across multiple regions and stages (completion, intervention, production).
- PROJECT SUCCESS: Reduced completion times (20%) and costs on horizontal/multilateral wells project.
- INNOVATION: Invented tool reducing downtime by 30%, improving safety and productivity.
SKILLS & COMPETENCIES
- TECHNICAL: Well planning, completion design, risk management, optimization.
- MANAGERIAL: Strategic planning, budgeting, analytics, problem-solving.
FOCUS AREAS:
- Well integrity, production optimization, cost reduction, HSE.