Advanced Artificial Lifting with ESP
INSTRUCTOR: Rajan N. Chokshi, PhD
DISCIPLINE: Engineering, Unconventional Reservoirs
COURSE LENGTH: 3 Days (Classroom) / 4 Six-Hour Sessions OR 6 Four-Hour Sessions OR 8 Three-Hour Sessions (Live Online)
AVAILABILITY: Public, In-House, & Live Online
ATTEND AN UPCOMING CLASS:
Check back in periodically for updated Public and Live Online course dates! To schedule an In-House course, contact SCA’s Training Department at email@example.com.
WHO SHOULD ATTEND: Production, reservoir, completion, drilling, and facilities engineers, and anyone interested in learning about the implications of Electrical Submersible Pumping (ESP) systems for their fields and reservoirs.
COURSE DESCRIPTION: ESP is one of the predominant forms of artificial lift used for lifting prolific quantities of liquids from conventional, unconventional, onshore, and offshore assets. Proper application of ESP is a must in any environment to improve the profitability of an oil-producing asset. ESP in its various configurations allows the life of well lift-possibilities when selected and applied correctly. This course gives trainees a thorough understanding of ESP artificial lift technology and related application concepts.
Most oil and gas wells require artificial lift at some point and for most of the life cycle to achieve production objectives. There are at least eight forms of artificial lift technologies available in the market. Each lift system’s applicability often overlaps with another lift system (s), and it is crucial to understand the positioning and strength of a particular lift form.
ESP is the most essential and often considered artificial lift around the globe for producing liquid quantities above 500 bbls/days from deep and shallow reservoirs. When properly selected and operated, it can deliver significant hydrocarbon volumes that can improve the initial rate of returns (IROR) of challenging to produce assets. That’s why it also commands the most significant capital expenditure allocations in global artificial lift markets on an annualized basis. On the other hand, poor selection and management can lead to suboptimal production rates with poor operational efficiencies and higher failures leading to differed production with higher CAPEX/OPEX.
It is vital to understand the interdependency between reservoir, wellbore, and surface installations with ESP equipment. This course focuses on ESP applications and related system analysis (often called NODAL analysis) concepts. While providing intermediate-level instructions, the training will arm attendees with sufficient details to participate in the informative decision-making process. The main objectives are as follows:
- Provide a thorough introduction about the theory and application of ESP.
- Demonstrate the advantages and limitations of ESP systems.
- Acquaint the student with ESP system evaluation, design, installation, operation concepts.
The course covers the main components, application envelope, relative strengths, and weaknesses of ESP in its different forms. A unique feature of this course is a discussion on the digital oil field and machine learning as applied to ESP optimization.
- Artificial Lift: The When / Why / What of Lift Mechanisms
- Similarities and differences of ESP compared to other lift forms; Relative market position
- Advantages, Limitations, and Operating Principle
- System Components: Downhole & Surface
ESP Installation Design
- Basics of Nodal Analysis for ESP
- Systems/NODAL Analysis
- Reservoir Performance
- Vertical lift performance
- Total Dynamic Head (TDH)
- Design & Optimization
- Pump Curve
- Affinity Laws
- Equipment selection and sizing
- VSD application concepts
- Role of real-time measurements & SCADA applications
- Challenging applications & mitigation approaches
- Lessons from Unconventional fields
- Importance of ESP reliability and DIFA (Dismantle Inspection Failure Analysis)
- ESP lift lifecycle
Advances in ESP and Emerging Applications
- Permanent Magnet Motors
- Wireline and coiled tubing deployed systems
- High-temperature and high-viscosity applications
- Ultra-high-speed applications
Digital Oilfield and ML Applications for ESP