Drilling automation

Machine-Learning Algorithms Optimize Drilling-Center Locations Offshore

This paper presents an approach to optimize the location of wellhead towers using an algorithm based on multiple parameters related to well cost.

Well-trajectory examples generated with the developed algorithms.
Fig. 1—Well-trajectory examples generated with the developed algorithms.
Source: SPE 211772

Long-term development planning requires infill drilling. Because of the limited number of slots in the offshore environment, new drilling centers (wellhead towers) are required. Optimized location of drilling centers can play a major role in reducing drilling expenses. Two main challenges related to wellhead-tower placement are discussed in the complete paper: first, where to place future drilling centers based on subsurface coordinates and drilling constraints; and second, how to allocate dozens of subsurface targets to multiple drilling centers.

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