Artificial Intelligence (AI) is significantly transforming various industries. Recent technological advancements that democratize data and AI capabilities play a crucial role in accelerating AI applications that enhance safety, sustainability and productivity, particularly in energy and process manufacturing. The potential of AI to assist and enhance human capabilities for front-line and corporate workers cannot be overstated. According to a new report from Microsoft, conducted by Accenture, Generative AI alone could contribute $180 billion annually to the Canadian economy through labor productivity gains by 2030, saving workers 125 hours per year. By adopting responsible AI practices, we can create a future where every employee benefits from an AI assistant, maximizing productivity and innovation.

ISA Calgary Show conference delegates are encouraged to take advantage and enjoy a full lunch before venturing into the exhibition area to explore the latest innovations and network with fellow attendees. Lunch is included with a three day ISA Calgary Show conference pass

Alarm systems are designed to provide critical alerts about abnormal situations and play crucial roles in the safe and efficient operation of modern industrial plants. Recently updated industrial standards (EEMUA 191 and ANSI/ISA 18.2) recommend that an operator should not receive more than six alarms per hour during the normal operation of the plants. However, various industrial case studies and surveys report that this is rarely the case in reality; tens or thousands of alarms per hour (far higher than what operators could handle) many of which are nuisance/redundant alarms. Such scenarios not only distract operators from smoothly operating the plants but also risk burying critical alarms, leading to catastrophic incidents, operational inefficiencies, and economic losses.

This necessitates the improvement of alarm systems through better management and rationalization of alarms, and re-design of alarm systems, thereby increasing the reliability. Furthermore, an efficient fusion of information from all available sources is crucial in developing intelligent analytics solutions for process monitoring, including alarm rationalization and root cause diagnosis of faults. Moreover, in this era characterized by a deluge of data, learning meaningful patterns and presenting results efficiently for real-time decision support is significantly challenging.

Researchers at the University of Alberta have developed a GUI-based smart analytics framework to integrate alarm data and sensor (process) data complemented with process connectivity information. In this presentation, we aim to demonstrate the state-of-the-art ‘Alarm Management toolbox’ (AMtool) for alarm analysis and visualization, performance evaluation, and alarm configuration and design. AMtool also facilitates alarm flood analysis, root cause analysis, and documentation to support alarm rationalization, thereby enabling industrial processes to become compliant with the latest standards. The tools use new machine learning algorithms to provide advanced visual analytics solutions. Additionally, the toolbox also features options for data extraction through SQL databases/OPCUA platforms. AMtool has been tested with real industrial data and has been used by process engineers and alarm management teams in Canada and elsewhere.

Statements of accuracy quoted by Instrument Engineers and Manufacturers alike are liable to fall foul of specsmanship, resulting in costly errors and sub-standard system performance. Currently there is no industry standard format for specifying accuracy statements. This paper builds on the work of others to suggest a systematic method for standardization of the accuracy statement. The hope is that by standardizing the statement of accuracy, systemic deficiencies due to inaccurate installations will be reduced and fair comparison between instruments will be simplified.

Traditional well completions have often been done manually requiring multiple individuals to be placed in a confined space high in the air. These conditions combined with constant pressure from the well bore can lead to operational mistakes and the possibility of a blowout which could result in significant injuries or even loss of life.

Learn how the innovative production tubing injection method combined with PC-based controls in well completions have decreased the dangers involved in this operation on wells with high pressures; How the operator interface keeps the user up to date on well and system conditions; How the control system informs the user on how to adjust the controls and pressures of the system for optimal performance. This cutting-edge, automated process keeps operator safety at the forefront and provides real-time monitoring data to inform workers of any possible out of the ordinary conditions unlike traditional methods.

PC based controls help contribute to the automation required for the enhancement of the mechanical control of the production tubing injector system in well completions. The control system allows the operator to safely move tubing through the production tubing injector and the well quickly while:

- Reacting to couplings entering the system
o The PC allows for real time data to be assessed and reacted to, allowing for seamless control of the triggering system that allows couplings to pass through the production tubing injector without damage to the coupling or the tubing.
- Interfacing with the operator
o The user interface allows the user to set the systems and well parameters allowing for optimal control of the tubing into the hole while maintaining safety and speed.
- Recording data
o The Data logging and automation running in the background on the PC based system also alarms the operator on any system issues in real time and will respond automatically to unforeseen well conditions or system issues.
- Mapping the well
o The mapping of the couplings in the well gives the end user the information on where the pipe is sitting within the well allowing for a proper assessment on what is happening at that point of the well (i.e. casing pressure) vs how much tubing is down hole.
- Control of alarms and shutdowns
o The real time PC based control allows for shutdowns of the system based on well parameters such as high casing pressure, run off casing or loss of hydraulics.

Years ago you wrote, tested, and commissioned your logic. It’s been working for years with few modifications, but now you’re upgrading hardware and forced to re-write it. This is only one example where IEC 61499 and Universal Automation are changing the automation industry.

This standard is setting the stage for a more open automation environment, where the industry revolutions we hear about, but aren’t prepared for, become commonplace. This includes automatic communication setup, logic that is easily moved between hardware, having automation hardware directly query IT devices… and the list goes on.

Please join me as we delve into IEC 61499 and Universal Automation to discover what it can do for us today.

Automated ON/OFF valves represent a large percentage of the valve population in any industrial process facility. The applications range from safety rated shutdown valves, emergency shutdown valves, process isolation valves, switching valves, system blowdown valves and many other functions within the facility.

Valves have been pneumatically actuated since air compressors were first developed in the 1900’s and self contained electrical valve actuators were offered to industry by the 1970’s.

Remote operation of valves was readily available, then remote (and local) indication of valve position was required. Initially this was achieved with custom designed electrical boxes with various types of microswitches and fabricated local valve position indicators.

In the mid 1980’s the first engineered product was launched that included junction box, terminal blocks, a high visibility beacon for local indication of valve position and electrical switches that could be wired to a remote location to provide indication of valve position. (open or closed, nothing in between)
Switch technology has evolved over the years to provide enhanced protection from corrosive environments and increased accuracy but basically the same technology from 1984 is in wide use today.

Transmitters for the measurement of pressure, level, temperature and flow have been prevalent in process plants for decades. More recently these instruments have included diagnostic information to support predictive analytics.
Digital valve position transmitters have been evolving over the past decade from safety shutdown (SIL3/HIPPS) applications to cost effective reliable digital valve position transmitters that can be applied to all On/Off valve applications.

Current designs of valve position transmitters provide real time valve position indication throughout its full range of travel, improvements on reliability over switches due to non-contact sensors, lower installed cost and diagnostics to support Digital Transformation.

In the era of digital transformation, the integration of power and process data stands as a pivotal strategy for industries seeking to enhance operational and capital efficiency. This session delves into the cutting-edge methodologies and technologies that are reshaping how organizations manage and leverage data across their operations. As industries navigate the complexities of the digital age, the conventional silos between power management and process control systems are increasingly being dismantled. This integration not only offers a holistic view of operational dynamics but also paves the way for optimizing energy consumption, minimizing downtime, and enhancing overall asset performance.

Our exploration will cover the technical and strategic facets of integrating power and process data, focused on tangible benefits such as reduced operational costs, improved decision-making processes, and heightened agility in responding to market and environmental changes. We will also examine case studies where this integration has led to breakthroughs in operational efficiency and capital expenditure optimization, providing attendees with actionable insights and frameworks that can be applied to their own organizations.

This session is designed for industry professionals, engineers, and managers who are at the forefront of adopting digital transformation initiatives within their operations. It aims to equip them with the knowledge and tools necessary to harness the full potential of power and process data integration, driving their organizations towards efficiency and competitiveness in the global market.

A recent case study will be presented, taking online Gas Chromatograph Data from a corporate PI historian, matching it with a volume or mass accumulator for the same time slice, and creating periodic accounting records that are used for further analysis, and ultimately, custody transfer of product from a customer to purchaser. This case will highlight some of the challenges to make this data fiscal quality while maintaining operational accuracy.

In the COVID-19 pandemic crisis, it was denoted that the Health Systems around the world need to adopt measures aiming to increase their capacities to effectively respond and recover from the impacts of likely, imminent or current hazardous events or conditions. This work presents an overview of the potentialities of the application of Artificial Intelligence (AI) in Advanced Pharmaceutical Manufacturing based on Industry 4.0 concepts. The introduction is presents on the Session 1 - Pharmaceutical Industry 4.0. The Session 2 presents - Pharmaceutical production, supply chain, and preparedness capacity. In the session 3 presents - Pharmaceutical Advanced Manufacturing, Artificial Intelligence, and Industry 4.0. The Session 4 presents - The challenges and opportunities in implementing Pharmaceutical 4.0. Concluding the opportunities to real-time monitoring, use of Advanced Process Control, smart management, process optimization result in best products and best services for most important goal which is the satisfaction of internal costumers (owner pharmaceutical process), external costumers (other companies), and the final customers (the population).