Server maintenance is scheduled for Saturday, December 21st between 6am-10am CST.
During that time, parts of our website will be affected until maintenance is completed. Thank you for your patience.
Use GIVING24 at checkout to save 20% on eCourses and books (some exclusions apply)!
Digitalization in the oil and gas industry has led to the formation of digital twins. Digital twins bring closer the physical and virtual world as data is transmitted seamlessly between real time sensors, databases and models. The strength of the digital twin concept is the interconnectivity of data and models. Any model can use any combination of inputs (e.g. operator owned data sets and sensors, third-party databases such as soil composition or weather data, results from other models such as flow assurance, threat modelling or risk modelling). Consequently, the result of one model may become the input of another. This strength is also a weakness, as uncertain (or missing data) will lead to a great source of uncertainty and may lead to wrong results. Worst case scenarios have been used to solve this issue without success. This paper presents a new concept: probabilistic digital twins for pipelines. Probabilistic digital twins do not lose uncertainty as results pass from one model to another, thus providing greater confidence in the final results. This publication reviews the probabilistic digital twin concept and demonstrates how it can be implemented using gas pipeline data from West Pipeline Company, CNPC.
There is a gap between the Integrity management systems used by companies to manage their assets and the needs of the CP engineer. Integrity management systems do not fully meet the needs of the engineer responsible for corrosion as they do not provide access and visualizations of all the data the engineer needs to make fast and informed decisions. There is also often no easy way to see the trends in the data, or easily access the relevant video and photographic data also recorded during the survey.
Data from surveys is normally contained in reports and EXCEL spreadsheets often with different measurement locations and inconsistent naming of the locations between reports. In this paper a system is introduced which enables engineers to manage and visualise in 3D CP survey data and provide access to all the relevant information through a 3D visual interface to any member of the teams. The software gives the engineer the ability to visualize in 3D the historical and predicted CP protection on the structure and the status of the anodes in the CP system. It also provides information on long term trends in the survey data.
By integrating the corrosion data with a simulation model a “digital twin” of the structure can be created to make predictions of the present and future protection of all parts of the structure. For example the engineer can easily use the software to systematically monitor the differences between the model predictions and survey data to identify anomalies and give early identification of problems which will require action.
The paper will describe the system developed and present applications of both the 3D corrosion data visualisation and the simulation based digital twin
We are unable to complete this action. Please try again at a later time.
If this error continues to occur, please contact AMPP Customer Support for assistance.
Error Message:
Please login to use Standards Credits*
* AMPP Members receive Standards Credits in order to redeem eligible Standards and Reports in the Store
You are not a Member.
AMPP Members enjoy many benefits, including Standards Credits which can be used to redeem eligible Standards and Reports in the Store.
You can visit the Membership Page to learn about the benefits of membership.
You have previously purchased this item.
Go to Downloadable Products in your AMPP Store profile to find this item.
You do not have sufficient Standards Credits to claim this item.
Click on 'ADD TO CART' to purchase this item.
Your Standards Credit(s)
1
Remaining Credits
0
Please review your transaction.
Click on 'REDEEM' to use your Standards Credits to claim this item.
You have successfully redeemed:
Go to Downloadable Products in your AMPP Store Profile to find and download this item.
An overview and possible methods to capture the full potential of digital technologies for corrosion and integrity management with a focus on upstream pipelines. Considering current industry offerings but also potential new technologies.
Digitalization is the use of digital technologies and digitally-enabled approaches to enable or improve business models and processes. The use of remote tablets to capture inspection data in real-time and the use of streaming video are key examples of digitalization. The addition of sensors to monitor the health of an asset is a component of enabling a digital twin concept, which is enabled with historical, real-time and forecast data. This document presents current use cases on the use of digital twin platforms to visualize assets and provide context for operational data. The use of hyperspectral sensors to help enhance the digital twin environment adds lifecycle features that enable more efficient condition monitoring. An overview of the BIM (Building Information Modeling) service supporting the digital lifecycle of 3-D/2-D model integrations will be discussed. This will also include the use of AR/VR devices including Microsoft’s Hololens and the delivery of ‘model load packages’, which allows the user to view the various models required to integrate with Hololen’s features. The combined use of augmented inspection reporting and corrective maintenance instructions allows for a streamlined inspection approach through the use of in situ sensors and mobile inspection campaigns.