All Member Open Forum

Hey Everyone,

Hope everyone's having a good day!

I'm curious to hear from professionals who have successfully implemented AI or Machine Learning solutions in the area of asset integrity management and reporting particularly within Oil and Gas processing facilities.

Have you deployed any AI/ML tools or models that have:

• Improved integrity monitoring (e.g. corrosion prediction, anomaly or vibration detection, failure pattern recognition)?

• Enhanced maintenance decision-making or reporting efficiency?

• Enabled predictive maintenance or real-time condition assessment of critical assets?

If so, I'd love to learn more about:

• The use case and technologies involved,

• How you integrated it with existing CMMS/EAM or DCS systems, and

• The challenges you faced with data quality, adoption, or scalability.

Even lessons learned or projects that didn't go as planned would be extremely valuable to discuss.

Looking forward to hearing how others are leveraging AI/ML to enhance asset integrity, reliability, and reporting.

Thankyou!

Hey Everyone,

Hope everyone's having a good day!

I'm curious to hear from professionals who have successfully implemented AI or Machine Learning solutions in the area of asset integrity management and reporting particularly within Oil and Gas processing facilities.

Have you deployed any AI/ML tools or models that have:

• Improved integrity monitoring (e.g. corrosion prediction, anomaly or vibration detection, failure pattern recognition)?

• Enhanced maintenance decision-making or reporting efficiency?

• Enabled predictive maintenance or real-time condition assessment of critical assets?

If so, I'd love to learn more about:

• The use case and technologies involved,

• How you integrated it with existing CMMS/EAM or DCS systems, and

• The challenges you faced with data quality, adoption, or scalability.

Even lessons learned or projects that didn't go as planned would be extremely valuable to discuss.

Looking forward to hearing how others are leveraging AI/ML to enhance asset integrity, reliability, and reporting.

Thankyou!

------------------------------
Usama Butt
Reliability Engineer

------------------------------

@Usama Butt, I'll also be interested in learning the objectives you listed, I'm a digital reliability enthusiast, I love to hear about the use cases of ML and CAE simulation applied to asset integrity management.

I also look forward to hearing from professionals in this platform. 

Thank you!

------------------------------
Emmanuel Obot
Senior Mechanical Technician
INDORAMA ELEME FERTILIZER AND CHEMICALS LTD
Port Harcourt

Original Message:
Sent: 11-05-2025 02:36 AM
From: Usama Butt
Subject: Successful Implementation of AI/ML for Asset Integrity and Reporting..

Hey Everyone,

Hope everyone's having a good day!

I'm curious to hear from professionals who have successfully implemented AI or Machine Learning solutions in the area of asset integrity management and reporting particularly within Oil and Gas processing facilities.

Have you deployed any AI/ML tools or models that have:

• Improved integrity monitoring (e.g. corrosion prediction, anomaly or vibration detection, failure pattern recognition)?

• Enhanced maintenance decision-making or reporting efficiency?

• Enabled predictive maintenance or real-time condition assessment of critical assets?

If so, I'd love to learn more about:

• The use case and technologies involved,

• How you integrated it with existing CMMS/EAM or DCS systems, and

• The challenges you faced with data quality, adoption, or scalability.

Even lessons learned or projects that didn't go as planned would be extremely valuable to discuss.

Looking forward to hearing how others are leveraging AI/ML to enhance asset integrity, reliability, and reporting.

Thankyou!

------------------------------
Usama Butt
Reliability Engineer

------------------------------

Hey Everyone,

Hope everyone's having a good day!

I'm curious to hear from professionals who have successfully implemented AI or Machine Learning solutions in the area of asset integrity management and reporting particularly within Oil and Gas processing facilities.

Have you deployed any AI/ML tools or models that have:

• Improved integrity monitoring (e.g. corrosion prediction, anomaly or vibration detection, failure pattern recognition)?

• Enhanced maintenance decision-making or reporting efficiency?

• Enabled predictive maintenance or real-time condition assessment of critical assets?

If so, I'd love to learn more about:

• The use case and technologies involved,

• How you integrated it with existing CMMS/EAM or DCS systems, and

• The challenges you faced with data quality, adoption, or scalability.

Even lessons learned or projects that didn't go as planned would be extremely valuable to discuss.

Looking forward to hearing how others are leveraging AI/ML to enhance asset integrity, reliability, and reporting.

Thankyou!

Hi Usama,

You can discuss with me at +6281330034766 using whatsapp and continue to set meeting or else. Better with others experts in SMRP forum joined together to share what we are implement. Here link that i develop last year and continue to enhanced and replication: https://onepetro.org/SPEOGWA/proceedings-abstract/25OPES/25OPES/673801 

Regards,

Febri

Hey Everyone,

Hope everyone's having a good day!

I'm curious to hear from professionals who have successfully implemented AI or Machine Learning solutions in the area of asset integrity management and reporting particularly within Oil and Gas processing facilities.

Have you deployed any AI/ML tools or models that have:

• Improved integrity monitoring (e.g. corrosion prediction, anomaly or vibration detection, failure pattern recognition)?

• Enhanced maintenance decision-making or reporting efficiency?

• Enabled predictive maintenance or real-time condition assessment of critical assets?

If so, I'd love to learn more about:

• The use case and technologies involved,

• How you integrated it with existing CMMS/EAM or DCS systems, and

• The challenges you faced with data quality, adoption, or scalability.

Even lessons learned or projects that didn't go as planned would be extremely valuable to discuss.

Looking forward to hearing how others are leveraging AI/ML to enhance asset integrity, reliability, and reporting.

Thankyou!