Halliburton Sperry Drilling automated well construction reduces risks and errors, increases consistency, and achieves predictable results.
Today, operators can project their well path, make real-time drilling decisions, and consistently hit their target—on time and on budget. Halliburton uses machine learning and physics-based models to avoid collisions, control steering, and manage vibration and pressure parameters. By creating digital twins of the reservoir, Halliburton specialists project complex drilling scenarios and geological uncertainty in real-time. We then project the outcome virtually and apply data analytics to fine-tune the current drill plan.
Halliburton Sperry Drilling enables consistent well delivery through directional sensors, physics-based 3D modeling, and machine learning.
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Halliburton Sperry Drilling LOGIX® Autonomous Drilling Platform combines physics-based models and machine learning.
Halliburton’s Remote Drilling Center™ enables operators and subject matter experts to better collaborate on multiple wells around the world.
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HalVue™ Real-Time Viewer gives you a consistent view of your drilling data across your operations as it comes in from the rig.
WORLD OIL / OCTOBER 2018
Advancements in electronics and sensor technology, sophisticated algorithms, and high-speed telemetry are leading the way to automated drilling.
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