🔔 Click ATTEND to receive a notification from LinkedIn when the live is on. Drilling performance analysis and optimization have been ongoing for decades, but with the introduction of cloud technology and AI, combined with industry-leading domain models, we are now able to deliver game-changing predictive and, in some instances, prescriptive solutions. In this SPE Tech Talk, SLB dives into how these techniques are changing drilling operations today. Moderator: Zachary Evans Speaker: Maurice Ringer
SPE Tech Talk: Transforming Drilling Analytics with AI and Domain Models
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Asha Robles
2w
Today’s poll question: What is the most important aspect of real-time decision support in drilling? a) visualization of real-time data b) data quality c) automated interpretation and robust smart alarms d) integration and access to all data, context
SLB should bring DBOS OnTime back. We were doing RT parameter recommendations, using HF data, adjusting parameter recommendations based on parameters run, RT lithology correlation, and predicted bit dull, with a screen in the doghouse for the driller to watch. This was 2008 using ML.
🔔 Reminder: Click ATTEND to receive a notification from LinkedIn when the live is on.
data quality since you cannot do anything further without this step in data management. listening from Abu Dhabi.
Asha Robles
2w
👋 AUDIENCE Q&A: Submit questions in the comments and your question may be asked during this live broadcast.
ZEKRI Youcef
3w
Marked calendar
Looking forward to this!
💬 Today's Poll Question: What is the most important aspect of real-time decision support in drilling? A) Visualization of real-time data B) Data quality C) Automated interpretation and robust smart alarms D) Integration and access to all data, context