How Deep Graph Analysis Based on Piping Instrumentation Diagrams CanBoost the Oil Gas Industry

摘要

Most oil and gas plant operators would like to benefit from a virtual plant model,or digital twin,whichallows them to access important data quickly.In reality,however,many have to work from large numbers oflegacy analogue Piping & Instrumentation diagrams(P&ID)that have amassed over many years.Digitizingthese to achieve a productive digital twin using traditional,manual methods can be an excessively expensiveand time-consuming task.A digital processing tool like PIDGraph is a much faster,more efficient approach.It treats all analogueP&IDs,irrespective of origin,as flat images which it can scan using artificial intelligence and convert intoXML compatible files;these can be directly processed by most CAE tools.Crucially,a solution like this can not only understand the blocks of plant equipment,but also therelationships between them as expressed by their interconnecting pipes and wires.This allows the user tobuild applications on top of the graph structure.Typical use cases are Equipment Isolation for maintenancerequirements,and Module Engineering for engineering applications.As time goes by and more of a plant's P&ID information is added to the system,it can serve as adata anchor for contextualization applications.The content stored can include not only P&IDs,but alsomaintenance reports,material specifications,manufacturer data and many other types of documentation.Users will be able to navigate quickly through vast amounts of data to find the points that matter in any givensituation.They can use this information to improve plant safety,optimize operations,and reduce costs.