Technical Programme

This year’s executive plenary session, themed Towards a Sustainable, Efficient, and Reliable Artificial Lift, will explore critical advancements and strategies in artificial lift systems. The discussion will cover efficiency and lifting cost optimisation, focusing on reducing operational expenses while maximising output. We will also explore life cycle cost analysis to underscore long-term economic benefits and examine sustainable manufacturing practices that minimise environmental impact. Additionally, we will address enhancing system reliability to ensure consistent performance and reduced downtime. Finally, the session will explore criteria for selecting the optimum artificial lift method tailored to diverse operational needs. Your leadership and expertise would be a valuable addition to this session, providing key insights to drive sustainable and cost-effective advancements in our industry. We look forward to your participation in this pivotal discussion.

A strategic panel discussion focusing on technology advancements where the industry technology leaders share insights of economic values from pioneering innovations such as rigless alternative deployment, and disruptive technology’s role in optimising today's industry lifting cost. While in parallel, explore technology solutions advancements in the harsh and gassy challenges. 

The panel will also feature a lens on efficient progressive solutions driven by PMM, high-speed systems, and surface equipment technologies.

Looking beyond oil and gas, this panel will also cover thermal applications in artificial lift systems and the latest cutting-edge achievements in the industry.

According to a study by the World Economic Forum, more than $1.6 trillion dollars of value can be unlocked through digitalisation of the oil and gas industry. While this might seem ambitious, a vast array of technologies and systems are already being deployed in the oil field with considerable levels of success. The artificial lift industry is no stranger to this transformation. In the last decade, we have witnessed more and more implementation of predictive models, optimisation logics, advanced analytics, autonomous controls, and intelligent systems. More recently, this transformation has been accelerated by the ongoing adoption of machine learning and AI applications with the rise of big data use in the energy sector.

In this session we will explore, with our esteemed guests, some of the digitisation themes in the artificial lift community and how they can lead this transformation in our industry. We will engage in discussions regarding maintaining the status quo versus what the future could bring. We will also explore promising applications in the areas of performance optimisation, failure prediction, and autonomous controls, while keeping an eye on safety, systems’ integrity, and the financial implications.

Harvard Business Review in 2015 states business model as “a term of art”. The way artificial lift (AL) has evolved in technology is no less than an art of excellence and being enhanced continuously. The current geo-influence demands the technology to blend with AL business models that can evolve, change, enhance and adapt to protect the environment, increase the value contribution, link the technology required to the AL development. Business models that define, implement, analyse, provide feedback and adjust to deliver the best value is the need of the hour. A successful business model will ensure that technology protects the environment, follows and implements the market (AL) trends with an efficient management of the contract. Building an efficient AL business model is a shared responsibility of the user and the service provider.

The session focuses on four aspects that contribute to a sustainable business model.

• Sustainable and low carbon
• Unconventional business models
• Artificial lift market trends
• Contract management

The esteemed speakers will present and discuss these AL business models that will influence the way AL business will be conducted. The goal will be for a sustainable AL business model that maximises the value in the form of environment protection, adapts faster to latest AL trends, rewards both direct/indirect user and the service provider.