SPE Online Education
Using Machine Learning to Optimize Completion Design
Recorded On: 05/01/2019
As the industry moves to more complex multi-pad, multi-well completion designs, intelligent completion optimization will require more sophisticated algorithms to improve the decision-making process. This is where the use of analytics and AI can directly drive efficiencies to unlock the production potential of unconventional reservoirs specifically during hydraulic fracturing. The growing volume and availability of completion and production data creates a revolutionary situation where building reservoir potential maps, planning pads and optimizing completion designs begins to benefit from the use of AI methods.
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