In the world of petroleum engineering, maximizing oil and gas production minimizing operational costs and environmental impact is a constant challenge. To meet these objectives, production optimization systems have emerged as a critical tool in the industry. These sophisticated software solutions leverage advanced data analytics, machine learning, and artificial intelligence to improve the efficiency, safety, and profitability of oil and gas production operations.
During the last decade, ADNOC has leveraged its production growth through implementation of best available technologies and applications, which include data streaming and real time visualization. These, combined with Artificial Intelligence to perform data analytics will provide the tools to develop a Digital Oil Field and unlock opportunities to maximize value.
The strategy of the Oil Companies is aligned with Digital Transformation to get on to the Oil and Gas new trends of optimization, sustainability, and profitability with maximum energy with minimum emissions.
Digital Transformation projects goes beyond automation therefore integrate Big Data, technology, and people to generate value. The implementations should optimize asset management to boost performance and finally under all stages of the projects, one of the focuses is to empower people to make faster and better decisions.
Oil fields with complex-behavior wells or with a big number of wells offer challenges that requires an adequate, opportune, and effective production optimization to reach a sustainable and cost-effective development. A big offshore carbonate field with 43 oil producer wells from different reservoirs distributed in tow islands is one example to address with production optimization tools.
With thousands of measurements acting as model control points, there is a tremendous potential to optimize well performance and have real time updated models for wells and network. Optimization proposals are then provided for further action.
Production Optimization Systems (or Production System Optimization - PSO) are integrated software platforms that enable petroleum engineers and operators to gather, analyze, and visualize data from various sources in real-time. These systems incorporate state-of-the-art algorithms to model reservoir behavior, production rates, and field operations. By analyzing large datasets, they provide actionable insights and suggest strategies to optimize well performance and streamline production processes.
This paper discusses and explore a recent approach of an inhouse developed Production Optimization System used for technical evaluation of well inflow-outflow parameters, sizing of tubulars and accessories and identification of bottlenecks with the key features, and benefits.