SPI in Today’s Projects: Challenges, Gaps, and Opportunities

SPI in Today’s Projects: Challenges, Gaps, and Opportunities

Smart Plant Instrumentation, commonly known throughout the industry as SPI, has been part of major engineering projects for decades. While the name and ownership of the platform have evolved over the years, SPI remains deeply embedded in the way many EPCs and owner-operators manage instrumentation data.

There is a reason for that staying power.

Instrumentation is one of the most data-intensive disciplines in a facility. A single instrument may be connected to specifications, process data, wiring information, loop drawings, I/O assignments, installation details, and numerous other engineering deliverables. Multiply that across tens of thousands of instruments, and information management becomes a significant challenge.

SPI was built to address that challenge.

But the way projects are executed is changing. Owner-operators increasingly expect structured data at handover. Engineering information needs to remain useful well beyond the original project. Organizations want greater consistency across contractors and facilities. And the industry continues to pursue better integration between engineering applications.

That creates an important question: Where does SPI fit into today's engineering environment, and where are the biggest opportunities to improve how it is used?

Why Instrumentation Became Data-Centric Early

Instrumentation was one of the earlier engineering disciplines to move away from purely file-based workflows.

Part of the reason is simply volume.

Consider a large modern facility with 100,000 instrument tags. A significant percentage of those instruments may require detailed data sheets containing dozens of individual properties. Add instrument indexes, process data sheets, wiring drawings, I/O information, loop drawings, installation details, and other deliverables, and the volume grows quickly.

Managing all of that through individual Excel spreadsheets and CAD files creates an obvious problem.

Change the manufacturer or model of an instrument in the instrument index, and that same information may also need to be updated on its specification and loop drawing.

In a file-based environment, someone has to find every place that information appears and make sure each document remains consistent.

SPI changes the model.

Instead of treating every deliverable as an independent document, engineering information can be authored and maintained in a structured database. The information associated with an instrument exists as connected data, allowing multiple deliverables to draw from the same source.

Update the underlying information once, and that change can flow into the documents that depend on it.

That sounds simple today, but it represents a fundamental shift in how engineering information is managed.

One Instrument, Many Deliverables

One of the biggest reasons SPI has remained relevant is that it supports much more than an instrument list.

An instrumentation team may need to produce and maintain:

• Instrument indexes

• Instrument specifications

• Process data sheets

• Wiring drawings

• I/O information

• Loop drawings

• Junction box information

• Installation details and hookups

Those deliverables are not independent.

The same tag, description, manufacturer, model, process condition, or wiring information can appear across several different outputs.

SPI creates a structured environment where engineers and designers can work with the same underlying information while focusing on different parts of the discipline.

An instrumentation engineer may be developing specifications and process information while a designer is building wiring connections from a field device through a junction box and marshalling system to an I/O card.

They are performing different jobs, but they are working on different dimensions of the same asset.

That shared foundation is where much of SPI's value comes from.

Standardization Is More Important Than It Looks

Efficiency is only part of the story.

SPI also provides something that becomes increasingly important as projects grow: standardization.

In a traditional file environment, individual users can modify spreadsheets and drawings independently. Headers change. Fields move. Naming conventions drift. Templates get copied and altered.

Those inconsistencies may seem minor until thousands of deliverables are involved.

The problem becomes even larger for an owner-operator working with multiple EPCs.

Contractor A may produce a flow transmitter specification one way. Contractor B may structure the same information differently. A vendor may provide yet another format.

The underlying equipment may be similar, but the information arriving at the owner is not.

A properly configured SPI environment can establish common specification formats, naming conventions, wiring drawing structures, and data requirements. Instead of maintaining both the engineering information and countless variations of the documents containing it, organizations can put governance around the underlying structure.

That consistency has value during the project, but its real impact becomes clearer when the facility enters operations.

The Handover Problem: Documents or Data?

Historically, project handover was largely document-driven.

An EPC completed the engineering work and delivered thousands of drawings, spreadsheets, specifications, and other documents to the owner.

But there is an obvious question when the engineering team has already spent years developing structured information inside SPI:

Why hand over thousands of individual documents when you can hand over the database behind them?

That question helped SPI move beyond being purely a project execution tool.

Owner-operators still need to maintain instrumentation information after startup. Instruments are replaced. Specifications change. Facilities undergo Management of Change activities. Turnarounds happen. Expansion and debottlenecking projects modify existing systems.

The engineering information does not stop changing because the original capital project ended.

By maintaining SPI into operations, the owner can retain the structured engineering information created during the project instead of falling back into disconnected files.

The application becomes less of a temporary project tool and more of a lifecycle repository for instrumentation data.

From Project Execution to the Facility Lifecycle

During a major capital project, an SPI environment may have a large number of active authors.

Once the facility enters operations, that number typically decreases. There may be fewer people actively creating information, but the number of people who need access to that information can remain significant.

Maintenance, reliability, engineering, operations, projects, and other teams may all depend on instrumentation information.

Then another project begins.

Instead of exporting thousands of existing loop drawings and specifications and sending them to an EPC as static files, the owner can create a project environment around the existing data. The project team works against the relevant assets and information, makes its modifications, and ultimately returns those changes to the owner.

That creates continuity between:

Project → Handover → Operations → Modification → Future Project

This is one of the areas where instrumentation has moved further toward lifecycle information management than many other engineering disciplines.

Why EPCs Adopted SPI

For EPCs, the value proposition has always been closely connected to project execution.

Projects are governed by hours, schedules, deliverables, and budgets. Anything that allows an engineering team to produce large volumes of consistent information more efficiently has a direct business impact.

Wiring is a good example.

Rather than manually drafting every individual loop drawing, designers can establish the underlying connections between instruments, junction boxes, marshalling, cables, and I/O. Once that information has been properly established, SPI can use it to generate loop drawings in bulk.

On a large project, that matters.

When the number of required drawings reaches into the thousands or tens of thousands, reducing repetitive drafting work creates significant efficiencies.

The system is not simply storing completed documents. It is using structured engineering data to help produce them.

Where Today's Challenges Begin

SPI solves a significant information-management problem, but that does not mean every implementation produces consistent results.

A major challenge appears when different EPCs use the same application differently.

One contractor may structure information one way. Another may configure attributes, naming conventions, deliverables, or workflows differently.

Both can technically say, "We use SPI."

The resulting handover, however, may still require significant work before the information aligns with the owner's operational standards.

This is an important distinction.

Using the same software does not automatically create standardized data.

Software provides the framework. Standards, governance, configuration, administration, and execution determine the quality of what ultimately comes out of it.

For owner-operators, that means the SPI strategy needs to begin before handover.

What information needs to be captured?

How should it be structured?

What standards should contractors follow?

How will information be validated?

Who owns the application and data after the project?

How will future projects interact with the operational environment?

Those questions can have just as much impact on long-term value as the software itself.

The Role of the SPI Administrator

This is also why application administration cannot be treated purely as an IT function.

SPI is an engineering authoring application.

The people administering it need to understand more than installation, permissions, and basic software functionality. Effective administration requires an understanding of how instrumentation engineering and design teams actually work.

If an engineer wants to introduce another field to a specification, for example, the question is not simply whether the software can accommodate it.

The administrator needs to consider what that change means across the broader environment.

Does it affect other instrument types?

Does it change existing specifications?

Does it impact deliverables?

Should it become part of the standard?

Could it create inconsistency with existing project or operational data?

That requires a combination of application expertise and domain knowledge.

The same principle applies across engineering authoring applications. Knowing how software functions is not necessarily the same as understanding how to configure and manage it for successful engineering execution.

The Integration Question

One of the industry's biggest ambitions is to connect engineering information across disciplines.

Instrumentation does not exist in isolation.

Instruments appear on P&IDs. They connect to control systems. They have electrical requirements. They may be represented within 3D models. Their information may ultimately need to connect with maintenance, asset management, and other operational systems.

It is natural to ask:

Why can't all of this simply exist in one system?

The answer is more complicated than it initially appears.

A P&ID application and an instrumentation application may contain information about the same instrument, but they are authoring different engineering information.

The P&ID designer is creating the process representation of the facility.

The instrumentation engineer is defining the detailed specification and process requirements of a device.

The instrumentation designer may then be developing the physical wiring relationships required to connect that device to the control system.

There is overlap, but the engineering purpose is different.

Not every instrument even appears on a P&ID.

This is one reason discipline-specific authoring tools remain important even as the industry moves toward more integrated information environments.

Integration Does Not Have to Mean One Application

There has been a long-running idea within engineering technology that eventually every discipline will work inside one completely integrated environment.

That vision is appealing.

In practice, however, mature discipline-specific tools continue to play a major role because engineering authoring requires specialized domain knowledge.

The better question may not be:

How do we replace every engineering application with one system?

It may be:

How do we allow specialized engineering applications to work together without losing the strengths that made them valuable in the first place?

That shifts the conversation from application consolidation toward data integration.

SPI can remain the authoritative environment for instrumentation while its information becomes accessible to other engineering and operational systems.

P&ID can remain focused on process engineering.

3D can remain focused on the physical facility model.

Other systems can consume the information they need without attempting to become the authoring environment for every discipline.

The goal becomes connected engineering information rather than one enormous application trying to do everything.

The Opportunity for Owner-Operators

For owner-operators, the opportunity is larger than simply "having SPI."

The real value comes from treating instrumentation data as a long-term information asset.

That means establishing a strategy around:

Standardization. Creating consistent data structures and deliverables across projects and contractors.

Handover. Receiving structured, usable engineering data instead of relying solely on static documents.

Governance. Establishing clear ownership over application configuration, attributes, standards, and data quality.

Lifecycle Management. Maintaining information through operations, MOCs, turnarounds, expansions, and future projects.

Integration. Making instrumentation information available to the other engineering and operational systems that need it.

When those pieces work together, SPI becomes more than an engineering application used to complete a project.

It becomes part of the facility's information infrastructure.

Where SPI Goes From Here

SPI has maintained a strong position in instrumentation because it addresses a problem that has not gone away: instrumentation produces an enormous amount of detailed, interconnected engineering information that must be created, delivered, maintained, and reused.

The technology landscape around it, however, continues to evolve.

Other instrumentation platforms are advancing. Engineering organizations are demanding better integration. Owner-operators increasingly expect structured data rather than document-only handovers. Digital twin strategies require information to move beyond the applications where it was originally authored.

That creates both a challenge and an opportunity.

The next stage is not simply about creating more engineering data.

It is about making sure the information already being created can move effectively from projects to operations, from one contractor to another, and from discipline-specific engineering tools into the broader digital ecosystem.

SPI has already demonstrated the value of moving instrumentation away from disconnected files and into structured data.

The next question for the industry is how far that connected-data philosophy can go.

And that conversation is only getting started.