IT in Manufacturing


Predictive analytics for artificial lifts

October 2020 IT in Manufacturing

Machine learning and artificial intelligence applications in artificial lift systems have seen a growth in importance recently and are no longer a nice to have, but essential tools for design, optimisation and failure prediction. Real-time optimisation techniques that help to optimise the production, however, do not necessarily holistically consider the equipment reliability and best operating range.

Whenever a failure occurs, the reasons could be attributed to more than one condition and hence, Root Cause Analysis is often a complicated process involving visual inspection and laboratory analysis to confirm the reason for the failure. The best operating envelopes for the lift system are also at the discretion of the optimisation engineer, who may not visit often enough to account for changing operating conditions. This may lead to the system operating in a conservative fashion leading to reduced production. As an example, a rod pump might operate at a lower speed anticipating high rod stresses based on historical operation. In some instances, the systems might not be designed for the desired operating environment and may pose a threat to its reliability. There is a need for a technology which would serve as a guide to overcome these challenges using real-time diagnosis and provide foresight into future operations and potential problems that may increase operator costs.

Emerson’s predictive analysis for artificial lift using the Knowledge Net (KNet) Machine Learning Platform is an engineered solution for predicting failures or abnormal working conditions before their onset. The solution utilises historical data from the wells to build a solid offline well model, which then gets trained on the real-time data as the well comes on to production. As the lift systems are subject to many complex events that might lead to a potential failure, the principal component analysis helps in the elimination process. With a comprehensive Failure Mode Effect Analysis and Root Cause Analysis library, the solution captures, in real-time, the abnormality and translates it into a potential run time deviation. With a prior indication, the condition can be corrected or interventions planned more efficiently. The dynamic modelling of key performance indicators based on system intelligence help in driving asset performance to identify the priorities relevant to the existing conditions. This widens the scope from mere well performance to complete asset performance enhancement.

For more information contact Emerson Automation Solutions, +27 11 451 3700, emrsouthafrica@emerson.com, www.emerson.com


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

SA company launches AI-based risk screening mobile app
October 2020 , IT in Manufacturing
The Instant Vitals app converts a mobile phone into a key vital signs medical device that could save lives when screening for Covid-19 symptoms.

Read more...
Danfoss debuts Alsense
November 2020, Danfoss , IT in Manufacturing
Danfoss has updated and enhanced its service offering to create a more sustainable, scalable and secure cloud-based portal for managing food retail operations.

Read more...
Digitalising mineral processing operations
November 2020 , IT in Manufacturing
Mining’s accelerated move toward digital solutions is being supported by FLSmidth’s decades of research and development. The company has over 80 projects underway to improve its mining-related offerings.

Read more...
Schneider Electric provides digital technologies to the mining industry
November 2020, Schneider Electric South Africa , IT in Manufacturing
“The organisation has invested significantly to develop a specialised competence in mining applications,” explains Marc Ramsay, vice president industry business unit at Schneider Electric South Africa. ...

Read more...
Smart manufacturing and the new normal
November 2020, Absolute Perspectives , IT in Manufacturing
In manufacturing, it is likely that billions of dollars have been lost in 2020, while a high percentage of manufacturing jobs have been negatively impacted.

Read more...
Emerson to acquire Progea Group
November 2020, Emerson Automation Solutions , News
Acquisition complements Emerson’s portfolio and helps customers in discrete and hybrid end markets to accelerate digital transformation.

Read more...
Will OT take over MES?
October 2020 , IT in Manufacturing
Industry 4.0 forces the convergence where IT needs to knock on the door of a manufacturing plant and sell OT, not IT or MES.

Read more...
Get full value from data science
October 2020, Omron Electronics , IT in Manufacturing
As huge amounts of data become available from the factory floor, information must be extracted and presented to the right audience, at the right time, and in the right way.

Read more...
How can manufacturers survive under the new normal to 2021 and beyond?
October 2020, RJ Connect , IT in Manufacturing
Thanks to COVID-19, the manufacturing industry is entering the era of unmanned operations. How best can companies adapt to the new normal and maintain efficient operations?

Read more...
Artificial intelligence in manufacturing
October 2020 , IT in Manufacturing
This article summarises the case studies presented at ARC’s recent virtual European Industry Forum and shows potential usage of AI in today’s smart factories.

Read more...