Integrated Production System Modelling and Optimization
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Integrated Production System Modelling and Optimization
This self-paced course provides extensive practical knowledge on full field modeling, covering reservoir, pipe, and surface network flow simulations. It focuses on the analytical workflows required to identify original resources, understand drive mechanisms, and optimize production performance through integrated system analysis.
Description
Integrated production modeling bridges the gap between the reservoir and the surface network, creating a holistic view of asset performance. This e-learning program offers a deep dive into the concepts and applications of full field modeling, including reservoir dynamics, wellbore hydraulics, and surface network constraints. Participants will explore critical methodologies such as Material Balance Analysis for predicting field performance , Inflow and Outflow Performance Relationships (IPR/VLP) for well optimization , and Flow Assurance studies. The course emphasizes the theoretical and analytical frameworks necessary to predict bottlenecks and maximize revenue without relying on specific proprietary tools.
To optimize field performance and maximize revenue, engineers must treat the reservoir, wells, and surface facilities as a single interconnected system. This course introduces the integrated workflows necessary to model these interactions, enabling professionals to identify production constraints and design effective optimization strategies. By understanding the physics of flow from the reservoir pore to the process facility, learners will gain the skills to forecast production profiles and plan field development stages effectively
Participants will learn to build and validate material balance models for oil reservoirs, evaluate inflow and outflow performance relationships (IPR/VLP) for various well geometries, and apply nodal analysis to predict well behavior and artificial lift effects . The course enables learners to perform history matching, design waterflooding strategies using Buckley-Leverett analysis, and optimize surface networks by identifying bottlenecks and assessing flow assurance risks such as hydrates, wax, and scale.
This is a self-paced e-learning program designed to provide a deep understanding of integrated production systems through theoretical lectures and analytical case studies. The methodology focuses on the fundamental principles and calculation workflows of reservoir and network modeling, allowing professionals to master optimization techniques and system analysis without the need for specific proprietary simulation tools.
Organizations will benefit from engineering teams equipped to view the field as an integrated system, leading to more accurate production forecasting and the identification of revenue-limiting bottlenecks. By applying rigorous nodal analysis and flow assurance studies, companies can optimize existing assets, reduce downtime due to hydrate or wax formation, and design more efficient field development plans that maximize overall recovery
You will gain advanced technical competence in full field modeling, mastering the ability to link reservoir performance with surface network constraints. This training enhances your analytical skills in key areas such as material balance, wellbore hydraulics, and flow assurance, empowering you to confidently solve complex production challenges and lead integrated field development projects
Reservoir Engineers
Petroleum Engineers
Production Engineers
Field Engineers
Processing Engineers
Module 1: Production System Fundamentals
Module 2: Reservoir Modeling & Material Balance
Module 3: Advanced Prediction & Waterflooding
Module 4: Well Performance & Nodal Analysis
Module 5: Advanced Well Geometries
Module 6: Flow Assurance & Surface Networks
Module 7: Integrated Field Development
On successful completion of this training course, PEA Certificate will be awarded to the delegates.
This course has been meticulously developed by a seasoned PEA expert renowned in the oil and gas industry. With extensive hands-on experience and a proven track record in delivering innovative solutions, our trainer brings a wealth of technical expertise, deep industry insight, and a commitment to excellence. Learners can trust that they are gaining knowledge from a leading authority whose dedication to professional development ensures you receive only the highest-quality training to elevate your skills and career prospects.
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.