Visual construction solutions are typically focused upon planners, whereas Asset55’s technology favours field-based personnel. The user-friendly interface and intuitive workflow process provides access to visualisations within specific contexts to personnel with limited or no experience of navigating around a traditional 3D model.
Our Completions Enablement process, driven by artificial intelligence, has been proven time and again to significantly reduce the safety risk during peak manning, whilst driving improvements in the quality of build. It also has a track record in significantly reducing construction schedules – saving our clients hundreds of millions of pounds.
Oil and gas projects are increasing in complexity, and ensuring the desired outcomes is reliant on the accuracy of a project’s status visibility. Traditionally, project owners rely upon engineering, procurement, construction management, and contractor systems to report project status, which is often out of date and inaccurate. Whilst these systems may appear robust, often they are not fully utilised and rely on external status inputs, which are not validated. Inaccurate or out-of-date project statuses limits owner influence and intervention, which leads to inferior decision making. As projects become overwhelmed with data, the challenge that faces industry is how to maximise yield from a project’s data, and thus empower effective decision making. Centralising data control is the first step. Our solution interfaces with project legacy systems (which could have multiple owners) to create a data centric environment. Creating relationships within the data sources supports the integrity of data, provides the foundations for model enrichment, and enables effective opportunity and constraint analysis.
The second step is to bring accurate, validated, real-time status availability into the data centric environment. Critically, this creates a single source of the truth. The final step is to share project status through 3D model visibility. Visualising project statuses in 3D models enhances communication whilst providing a greater level of insight compared to traditional reporting. The ability to drill down into specific work scopes, assess plan versus actual, isolate individual contractor scopes, and understand completions statuses greatly improves management decision making. Our Project Visibility Services create the opportunity for project owners to influence outcomes and intervene when applicable. Clear and visible line of sight empowers informed decision making, improves communication, and supports commercial protection if needed. Our solution creates most value when applied early in the delivery cycle, yet can also be applied quickly during projects where status visibility is poor, and line of sight is urgently required.
The selection tree provides visualisation within multiple execution contexts, improving accessibility for multi discipline field teams. Default trees include schedule, discipline, sub-system, work packs, test packs, and opportunities & constraints. Users can also create custom trees based upon contained attribute data such as P&ID. Selected tree elements automatically update the model viewer and tag section enabling further filtering or simple export and sharing capability.
Status covers all disciplines from engineering, construction, completions and commissioning. These are uploaded using simple templates or custom-built APIs to existing legacy systems. Users can select different status types, which can be applied across all selection trees to update model colours. A legend is automatically added to exported visuals highlighting status filter and selection criteria.
Tag data is automatically generated based on tree selections or by selecting elements within the model viewer. Tag attributes contain specific information including tag type, system, sub-system, area, work pack allocation and status. These can be configured to user needs. Tag data can be searched by or filtered to, which updates the model viewer and can be easily exported for sharing and further analysis.
Work Face Planning is the process of organising field execution in construction projects. The primary focus is to get the right things to the right people at the right time, which improves construction productivity.
Visual tools enable greater collaboration, communication, and ultimately alignment within the planning process. Our solution enables the creation of work packages, allocation of dates, simulation of sequence, and an interface to the Primavera P6 schedule.
Completions enablement is the process of identifying and capitalising on activities, that typically fall in the last 30% of projects, much earlier in the delivery cycle.
Activities that fall into the completions process include hydro testing, reinstatements, cable pulling and terminations, that are focused upon ensuring quality of build and safety in operations. The traditional approach means these activities do not usually start until construction reaches 65% complete, this also means that systemic construction issues are not picked up until the latter stages of the project.
This leads to safety risks, engineering change, procurement of new materials, additional pressure on the critical path and the likelihood that projects will leave fabrication facilities incomplete.
The ability to unlock these activities much sooner (when construction reaches circa 25%) facilitates interface management, identifies problems early and drives scope transition to create predictability of project schedules to empower management decision making.
Systemisation and subsystemisation are time consuming, often resulting in unpopulated completions systems until well into the construction phase. This significantly impacts both the ability to “plan with the end in mind” during engineering, and to define the optimum path of construction. Tag numbering usually contains the system code, which is created by engineering. However, experience has shown that in 15%-20% of cases, the tags end up in different systems to the system code contained in the tag number.
Our digital process is linked to the 3D model, which accelerates the systemisation process based on engineering deliverables. This process provides visual validation of system limits and supports the optimisation of the subsystemisation process.
On a major project, systemisation and subsystemisation can be achieved in as little as 3 months. This enables a digital offtake from the model to populate the completions system. It is acknowledged that engineering is not complete at this time, but the process has been proven to be more than 90% accurate. This is achieved in a fraction of the time and cost of the traditional process. Identifying discrepancies between system allocation and tag numbers can support the updating of tag codes before they are issued to a construction contractor. This also improves the intelligence in the model for the digital twin. Visual systemisation and subsystemisation enables the path of construction to be optimised with “plan with the end in mind”.
Traditionally, test pack development is the responsibility of the construction contractor. This relies on subsystemisation being complete, typically meaning all test packs are not developed until the construction is more than 30% complete. The process starts with marking up P&IDs and cross referencing these with the line list to confirm test pressures, pipe specs, test mediums, etc. This process is extremely time consuming.
Developing test packs late also impacts the ability to “plan with the end in mind”. Test pack transition is a critical step in enabling the completions process in opening painting, heat trace and insulation, as well as clearing the path for E&I disciplines.
Digitising and automating the process of creating test packs linked to the 3D model allows for both visual confirmation and improvements. By linking the line list to the model via our model enrichment process, we can apply artificial intelligence to segregate the piping into potential test packs.
Using the 3D model helps visualise constructibility, aiding in the breaking down of test packs further for optimisation. Once completed, all the lines are exported from the model with their test pack reference and attributes for heat trace and insulation requirements.
This process can begin after the 60% model review and be completed in parallel to the digital systemisation process.
Test packs are developed digitally during engineering to support the optimisation of heat trace circuits. On a large scale project, this can be completed in approximately 8 weeks, and at a fraction of the cost of traditional approaches. With provisional test packs understood, this data can be used in support of Advanced Work Packaging principles, execution planning, and resource planning.
The Advanced Work Packaging (AWP) process has been steadily gaining momentum within the oil & gas industry. Its primary purpose is to align engineering and procurement deliverables to path of construction. This releases complete and available work scopes to the field, improving field productivity and time on tools. Without readily available completions data, the path of construction fails to consider the path of completion. Projects are broken down into Construction Work Areas (CWAs), which are subsequently broken down further into Construction Work Packages (CWPs). These are used by workface planners (WFP) to develop Installation Work Packages (IWPs). This approach is problematic as the Construction Work Packages become too large, and do not provide enough focus for engineering to deliver against. Furthermore, this approach is heavily reliant upon the skill of the workface planners to create effective Installation Work Packages.
Our approach is to improve two critical areas of the Advanced Work Packaging process. Firstly, we include the completions data into the optimisation of the path of construction. Secondly, we breakdown Construction Work Packages in a consistent manner, which improves engineering focus and the optimisation of Installation Work Packages. Using our digital systemisation and test pack development processes, completions data is made available when the path of construction is being developed. Construction Work Packages are broken down based on primary structural steel into fabrication / erection blocks, which are typically 90% smaller than a traditional Construction Work Packages. We then extract the tags using our box offtake process, and categorise them by discipline into 3 categories:
Categorising all tags by block and install priority makes the Installation Work Package planning process both simpler and more consistent. It also narrows down the engineering delivery priorities by block, which reduces the likelihood of late changes.
When overlaying completions data, completions activities are automated by highlighting opportunity release scopes when blocks come together, test packs for walkdown, cables to pull, etc. The path of construction can be optimised by simply re-sequencing block delivery.
We can support our clients in improving the accuracy of the 60% and 90% model reviews. Our approach is to take all engineering deliverables (data files) and cross-reference these with the 3D model to identify gaps, discrepancies, tag number miss match to improve the accuracy of the 3D model prior to each review. Typical data files include: