Designing, building, and operating a chemical plant requires the application of complex and sophisticated methodologies across a wide range of domains: physical property estimation, unit-operation design, safety and risk assessment, construction of pressurised equipment, operator training, and continuous plant improvement.
Each of these activities is carried out by specialised disciplines that have developed robust best practices and well-established standards within their own areas of expertise. Interactions among disciplines are typically standardised and procedural, ensuring basic coordination, regulatory compliance, and contractual clarity.
However, while individual disciplines continuously refine and optimise their internal methods, the development of truly sophisticated inter-disciplinary and inter-departmental practices remains limited. As a result, the chemical plant is often approached as a collection of well-designed parts rather than as a coherent, continuously evolving system.
This limitation is not confined to horizontal interactions between disciplines. Vertical interactions across organisational levels are also constrained. Operators are generally regarded as holders of hands-on, practical knowledge, and their educational background is often not at university level. They also tend to have limited mobility within the production organisation, which restricts the long-term accumulation and dissemination of experiential knowledge.
Conversely, higher levels of the operational organisation host more formally qualified profiles, who are expected to progress relatively quickly through the organisational hierarchy. This structural separation between operational experience and conceptual understanding further weakens the transfer, consolidation, and continuity of plant knowledge over time.
In addition, intellectual property constraints limit knowledge transfer, particularly explicit and formalised knowledge. Design rationales, modelling assumptions, and historical learnings are often partially inaccessible, further reinforcing fragmentation.
As a consequence of these horizontal and vertical barriers, knowledge flow within the organisation remains constrained, and the construction of a full-scale, integrated operational understanding frequently becomes an individual rather than a collective achievement.
This fragmentation of knowledge has direct consequences for both plant safety and operational performance. When understanding of the process is unevenly distributed across disciplines and organisational levels, critical interactions between design intent, operating reality, and abnormal situations become opaque. Early warning signals may be recognised locally but not interpreted systemically; lessons learned remain context-specific and fail to propagate; deviations are corrected symptomatically rather than structurally. Over time, this weakens the organisation’s ability to anticipate failures, manage complex transients, and sustain long-term operational excellence—despite the presence of technically sound equipment and formally compliant procedures.
During my professional experience, I have encountered this structural inability to build a shared operational understanding on multiple occasions. At times, working in such environments felt like operating in a “land of the blind”, populated by highly competent practitioners whose knowledge nevertheless remained fragmented and context-bound. Many organisations appear to be aware of this problem, often as a vague sense that “something is not quite right”, yet—at least to the best of my knowledge—no broadly effective solution has been proposed or adopted.
One episode that left a strong impression on me occurred when, based solely on prior design experience, I was able to provide actionable guidance to a plant manager over the phone during a night-time operational upset. This raises an uncomfortable question: why do operational teams, despite their deep hands-on experience, so often struggle to resolve such situations independently?
If the root of the problem is neither a lack of competence nor a lack of data, but rather the absence of a shared, system-level understanding of the plant, then the focus must shift from who holds the knowledge to how that knowledge is represented and made accessible. Traditional tools—such as P&IDs, procedures, operating manuals, KPIs, and training programs—are indispensable, yet each captures only a partial and discipline-specific view of the process. None is designed to integrate design intent, physical behaviour, operational constraints, and real-time performance into a single, coherent mental model. Knowledge, therefore, remains fragmented not because it is unavailable, but because it is not visible as a system.
The fact that chemical process plants are not fully understood as integrated systems—encompassing all relevant disciplines and overcoming vertical knowledge barriers—but instead remain compartmentalised, directly limits their overall performance. This fragmentation blocks further optimisation and leads to inefficiencies that affect financial results, environmental impact, process safety, and operator safety alike.
The consequences extend well beyond the boundaries of the single installation. A poorly performing plant is less able to withstand competitive pressure, placing sustained constraints and stress on the entire organisation. Excessive waste generation affects air quality—directly or indirectly through external incineration—as well as water and soil. Safety becomes a matter of probability rather than control, and surrounding communities are exposed to industrial externalities, effectively placed at the mercy of chance rather than robust system understanding.