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Challenges in Data Sharing for Oil and Gas Well Construction | Helmerich and Payne
The drilling and completion of oil and gas wells is a collaborative business, involving employees from many contractors working together.

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REDUCE WELLBORE PLACEMENT UNCERTAINTY BY UP TO 60% | H&P SURVEY MANAGEMENT

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BY AUTOMATING SPEED, QUALITY, AND SAFETY H&P HELPS REDUCE TIME TO TARGET AND HUMAN VARIABILITY | H&P COLLISION AVOIDANCE

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ENHANCED MAGNETIC SURVEYING | H&P SURVEY MANAGEMENT

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MOMENTARY DECISIONS WITH LIFELONG IMPACT:
BEING SELFISH ABOUT YOUR SAFETY
Almost immediately following the
loss of Kailee, the Mills family started a
foundation to drive awareness to the
importance of wearing seatbelts and
what could happen when we don’t.

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Achieving ISCWSA MWD+IFR1 Tool Codes Without Airborne Magnetic Surveys
Unfortunately, IFR can be expensive or out of reach for smaller or less mature basins because of the high cost of flying or purchasing high-resolution aeromagnetic surveys.

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Recovery Control - Closing the Loop in Automated Control Systems
The recovery control system was designed with six major process control interfaces, two of which occur during on-bottom drilling: drilling while rotating and drilling while sliding.

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Drilling Survey Management: Strategies for Precise Wellbore Surveys and Placement
Drilling surveys are a critical component in the exploration and production of oil and gas resources. It encompasses the techniques and processes used to measure the trajectory of a wellbore, the narrow shaft drilled

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Drilling Rig Automation in Drilling Rig Companies Revolutionizing Efficiency
Drilling rig companies are at the forefront of this revolution, offering automated solutions that integrate with existing infrastructure. These companies are enhancing their rigs with sensors, control systems, and artif

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In Drilling Automation Practical Challenges to Consider for Model-Based Engineering | Helmerich & Payne
Model-based engineering has become more prevalent in the drilling industry over the last few decades. While there is great value in using models, a realistic understanding of the types of problem

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