The following webinars may be viewed online. Each lasts about an hour. They are taken from our monthly live offerings. To view them in your browser, click 'Read more...' on the right of the page.  

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Alarm system performance is frequently cited as a contributory factor in process incidents, so much so that the current standards were drafted in response to these concerns. Could you defend the alarm limits in your plant? Do they contribute or detract from your operators’ ability to react to an abnormal situation and maintain production? Commonly 50% or more of operator alarms are false or unnecessary requests, increasing operator load and leading to distrust.

This webinar demonstrates a new fundamental understanding of how alarm limits are related to process behaviour, leading to the new ability to create and manage an entire set of alarm limits together. This differentiates Modern Alarm Rationalisation from the isolated alarm methods most people in the industry are still using. Using this method, alarm limits and their performance can be evaluated before putting them in place, forcing underlying process issues to be recognised and addressed. This is dramatically different from today’s one-at-a-time handling of “bad actors” and also allows setting limits for alarms that haven’t been violated yet. It generates much better alarm limits while taking less process engineering time, thereby reducing the number, duration, and staff levels of review meetings.

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Process plants rarely operate consistently at their minimum energy input. A number of factors contribute to this, including lack of knowledge of the best conditions and also the ease of operation with excess energy. There is an inevitable drift back to higher energy operation without ongoing monitoring and feedback as part of energy minimisation.

Process engineers worldwide using C Visual Explorer (CVE) – innovative software developed here at PPCL - to investigate historic data from PI, PHD, IP21 and similar have produced some remarkable process improvements in remarkably little time. Results include increasing the product output of a paraxylene plant already at maximum energy input; identifying and steering an LNG refrigeration process to the best of several non-stationary local efficiency optima by adjusting the constraints of existing MPC controls; and providing a hydrocracker operator with a map to avoid several high energy sink-holes that were not previously known, reducing energy usage by 40%.

In this webinar, first delivered by our Technical and Operations Director Dr Alan Mahoney in May 2018, we demonstrate our simple no-maths visual method which requires only the knowledge of the process and its operating objectives and practices which senior process engineers already possess. It uses data already in your plant historian and can identify operational changes to a lower energy operating window. We also discuss maintaining improved operation into the future and real time guidance for the operator and/or existing process control systems.

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Process plants generate continuous time-series data for thousands of variables at sub-minute frequencies. This is far beyond what process engineers can analyse with their conventional analysis tools. This data has enormous potential value, containing the records of plant operation and implicitly the relationships between process variables and KPI, quality and performance variables. What led to the best performance and can it be repeated; what led to the worst and can it be avoided?

The currently trending “Big Data” approaches focus on pulling subtle correlations from largely uncorrelated data, but chemical processes have extensive relationships due to balances and governing physical laws. Predictive Analytics provides generalized answers through simplifications which can destroy much of the richness of the data. Such approaches have little appeal to the busy process and control engineers close to the plant who have the domain knowledge essential to the use of any analytical method. They can also be time-consuming and require a statistician to interpret the results.

Geometric Process Control (GPC) provides engineers with graphical tools to work with big datasets spanning the entire plant process. This webinar, first delivered by Dr Alan Mahoney in April 2018, will introduce this technology and demonstrate analysis of a process using a dataset involving a year of data for 750 variables at 10-minute intervals. By connecting data spanning the entire process from incoming analyses through processing conditions to final quality variables, KPIs and performance with the richness of years of historical data, GPC enables engineers to explore their data and make discoveries that are not possible today.

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A few minutes’ warning of approaching abnormal events in a process plant, such as column flooding, pump/motor failure or equipment fouling, can make all the difference for operators and dramatically reduce production losses. Traditionally, models for condition monitoring and fault detection were time consuming and expensive to create and maintain. Here we present a simple, low-cost method based on process history which can be implemented by a trained user in a matter of hours.

In this webinar, first delivered by PPCL's Technical Director Dr Alan Mahoney in March 2018, we demonstrate how our method works and answer your questions. We look at our mould-breaking software C Visual Explorer (CVE), a powerful data visualisation tool for investigating historical events and evaluating operating envelopes using data from the plant historian. Building from individual events into whole classes of similar events, we pinpoint common causes of faults and identify precursor signatures. We then look at C Process Modeller (CPM), an online process monitoring tool which models the operating envelope of fault-free operation as a multi-dimensional solid, providing dynamic real-time warning of developing events and bringing the operators’ attention to the key deviating variables..

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Do your Key Performance Indicators drive Operational Excellence? Or does Operations pay lip-service to some targets that they consider unrealistic?

ARE they unrealistic?
How and why do unrealistic targets get created?
Is an impending abnormal event, such as pump failure, about to sabotage your pursuit of Operational Excellence?

In a modern process plant using traditional methods, identifying and evaluating KPI targets is somewhere between difficult and impossible. However, it becomes much easier when leading KPIs are positioned on an operating envelope defined by lagging KPIs.

Geometric Process Control, PPCL's innovative new technology, provides the way to quickly and easily see such an operating envelope across many hundreds of variables. This makes it immediately obvious to everyone which targets are inconsistent or unrealistic. Performance monitoring and reporting become clear and consistent for everyone involved, allowing process refinement and increasing understanding of how KPIs interact. The approach is radically different but, as with all really good inventions, much simpler than what it replaces.

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Setting KPI targets and reporting is necessary, but for use in the control room these targets need to be translated into operating windows. It is easy to get this wrong, and difficult to realize when the window becomes outdated. In this one hour webinar, presented in September 2017, Dr Alan Mahoney, PPCL's Technical Director, shows a better way to address these problems. There can be a new understanding of the relationship between KPI targets, operating targets and process objectives. The webinar demonstrates how to use that understanding to find the best operating window to achieve KPI targets and other operating objectives. Providing the best operating window to operators is the essential first step toward repeating and improving best process operations.

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Here at PPCL we have spent 25 years developing GPC (Geometric Process Control), an innovative new method of viewing process operations. Our work with gas production includes production fields, gas treatment and processing, LNG production, landing and re-vaporization. We have worked with LNG producers worldwide helping them to understand their process better by analyzing their data in far more detail than was previously possible. This work has contributed to achieving better operation through better alarms, process optimization and product compliance – improvements directly impacting the bottom line. 

This webinar from May 2017 takes an in-depth look at gas production. We demonstrate our technology using graphical tools to optimize product split in an LNG production train, monitor performance week-on-week and identify targets for process improvement. By connecting historical data completely across the process with quality variables, GPC enables value-finding in your process through data exploration and discovery which are simply not possible with today’s techniques.

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This webinar was presented by Michael Bell, Principal Applications Engineer at NOVA Chemicals of Canada in September 2016. The feed preparation section at NOVA’s Ethylene 1 plant receives and combines feed from a multiple of sources while reducing the feed pressure to prepare for thermal cracking in an ethylene furnace. What is unique in modelling this process is that it has multiple modes of operation. This multi-mode problem fits well with CPM and CVE, which allow for the automatic turning off and on of variables to minimize the number of alerts sent to the panel operator by the setting of the “Phase” variable.

Geometric models are a new class of mathematical model and well-suited to plant applications because of their very low cost due to the speed with which the wholly visual nature of Geometric Process Control (GPC) allows them to be created, implemented and maintained. They have been applied to continuous and batch processes in process industry segments ranging from pharmaceuticals through chemicals to oil refining and upstream oil and gas production. 

PPCL’s mission is to reduce variability in plant operations. This starts with the gaining of better process and operations understanding using our offline product, C Visual Explorer (CVE), to view years of process operation for hundreds of variables in a single interrogable graph. This much wider view than was ever previously available considerably simplifies and accelerates traditional process applications such as process analysis, de-bottlenecking, optimisation, alarm rationalization and KPI target setting and monitoring. Operating Windows found by CVE and expressed as independent Operating Limits on process variables are immediately usable by plant operations as a guide to greater achievement of the business objective.

Operating Envelopes are modelled by our online real-time product, C Process Modeller (CPM), updating on a frequency between seconds and minutes and providing alerts to supplement alarms, guiding operations to stay inside the Operating Envelope and providing early warning of impending events, alerting the process operator to take mitigating action.

Michael offers an invaluable account of NOVA's experience with PPCL tools. The webinar includes a Q&A session with process industry professionals addressing some of the issues which commonly arise when considering and implementing the software.

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Phillips 66 talk about their experiences using CVE for Alarm Rationalization in their Bayway, NJ refinery and field questions from users and non-users of CVE. If you are new to using CVE for Alarm Rationalisation you will probably want to start with one of our own Alarm Webinars, but this one is not to be missed. 

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