This session will share an incident from the summer of 2022 where an RV lifted on a spent acid rail car. Key topics will include the conditions that led to the relief, the response to mitigate the release, and the causal understanding of why the relief occurred. Finally, the discussion will focus on considerations for preventing future similar releases.
Facilitator: Ray Chafin, Pemex Deer Park
Speakers:
Hi Chen, Pemex Deer Park
Ahram Yoon, Pemex Deer Park
A set of case studies are presented by operating companies that discuss Connected Worker initiatives as a vital component of the factory of the future, enabling their organizations to address the challenges of modern manufacturing while reaping the benefits of improved productivity, safety, and efficiency. The Connected Worker, also known as the augmented worker, is seamlessly immersed in their surroundings in an operating facility by the use of a suite of highly advanced digital tool to assist in performing their daily tasks more effectively. Panelists will present their approaches to enabling the Connected Worker in their environment along with what was learned, and benefits achieved.
Speakers:
Darin Foote, CHS Inc.
Chuck Johnston, Marathon Petroleum Corporation LP
Vidyashankar Kuppuraj, Marathon Petroleum Corporation
Johnny Serafin, Phillips 66
Nic Tognetti, CHS Inc.
Advanced process control (APC) has been employed in FCC applications for 40 years. Despite the similarities of FCC Technology and APC platforms the success of these applications varies widely. In this session we will discuss common threads that lead to poor outcomes and how to build a successful APC program on a modern FCC.
In this session we will discuss in detail the continuous improvement in plant profitability achieved by having a holistic approach for advanced automation where applications such as procedural automation, Artificial Intelligence Plant Control (AIPC), control strategy in distributed control system and safety instrumented system all work together in harmony. AIPC, leveraging Reinforcement Learning (RL), offers a transformative approach to process plant optimization, addressing key limitations of traditional Model Predictive Control (MPC).
While MPC has been a cornerstone of advanced process control for decades, its reliance on linear models and manual tuning often struggles to effectively handle complex, nonlinear process dynamics, particularly in scenarios with frequent disturbances or changing operating conditions. AIPC overcomes these limitations by continuously learning and adapting to the plant's behavior. We will share our motivation to develop this product in-house and how easy it is to maintain the application and sustain the benefits by existing operations staff without the need of any AI or MPC expertise.
Participants will:
Understand the benefits of using AIPC over conventional MPC
Learn how Linde has successfully implemented AIPC on their Air Separation Units that include cryogenic distillation and very complex heat integration and recovery process.
Realize the importance of embracing this cutting-edge technology for improving profitability and safety of their plant and also for their personal and professional growth.