In the last 10 years in US Land H&P has drilled approximately 600 million feet.
That is nearly 24 times around the earth!
In the last 10 years in US Land H&P has drilled approximately 600 million feet.
That is over halfway to the moon!
In the last 10 years in US Land H&P has drilled approximately 600 million feet.
That’s enough to drill deeper than Mount Everest… 68,000 times
In the last 10 years in US Land H&P has drilled approximately 600 million feet.
That is a straight line from New York to LA – 43 times!
Crew members are rewarded for submitting safety observations and intervening if they see risky situations. Actively C.A.R.E.® is more than just a tagline.
Our vertically integrated model includes global manufacturing, enabling faster rig deployment and consistent quality across continents.
H&P has drilled more wells, with more data than the largest operators combined.
Our SSHE reporting system captures and mitigates potential SIFs before they occur, reinforcing a culture of proactive safety
H&P customers drilling 10 wells save an average of 24 days and over $1.5 million compared to competitors, due to fewer trips, less NPT, and faster cycle times.
Our Real-Time Operations Centers monitor and optimize drilling performance around the clock, preventing issues before they occur.
We lead the industry with 2,500+ rig years of AC drive experience—delivering smoother, more efficient drilling across all geologies.
Even as footage drilled continues to rise, H&P has reduced emissions intensity by 33% since 2018.
In 2024, Survey Management corrected almost 900K surveys.
In 2024, StallAssist® technology mitigated over 25K stalls.
In 2024, AutoSlide® technology slid for over 885K feet. That’s like stacking 1,770 Eiffel Towers on top of each other.
In 2024, Autodriller Pro drilled almost 30k feet, or about 83 American football fields.
In 2024, FlexFusion® technology automated 1.5+ million processes on almost 4k wells.
The xx-cel model architecture consists of several key components:
As mentioned in Xx Cel Models Today , they are not static; they learn from the environment, improving their detection accuracy over time without needing complete retraining. xx-cel models
