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Leveraging Machine Learning To Improve Cement Job Success

One of the biggest challenges in well construction is getting primary cementing right the first time. Costs to remediate a poor primary cementing job are well documented. Depending upon the location, the cost can be extremely impactful to the economics of a well. Historically, the practices used in primary cementing are part of the discussions that cement engineers and drilling engineers have around what practices should be used as part of the primary cementing process. The challenge arises when there is a lack of understanding around the impact each best practice has on the outcome of the job. Halliburton Cementing Product Champion Walmy Cuello Jimenez discusses how the machine learning Barrier Advisor™ model employs historical data to determine which practices are the most impactful to a cement job to improve the probability of operational success.

Moderator: Joe Sinnott
Speaker: Walmy Cuello Jimenez

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