Scraping PTEN's US Land Rig Fleet

Paul Choi
Posted on Feb 9, 2020

Links: Github | Scraped Site


I decided to scrape and analyze rig data from Patterson-UTI Energy’s (NASDAQ: PTEN) website. PTEN is the second largest contract land driller in the US and one of the largest pressure pumping (e.g. fracking) service providers to Oil & Gas companies. The company is publicly traded with a current market cap of roughly $1.4 bil as of Feb 7, 2020. All of this means that there are a number of Oil & Gas investors who would be interested in seeing data about this company.

Why scrape this site?

PTEN provides daily status updates on all of the rigs in their fleet for customers and investors. Scraping this data is very helpful because it allows us to understand what’s going on in real-time with their core drilling business (63% of 4Q19 revenues, per 2/6/2020 8-K).  Additionally, seeing daily changes to PTEN's rig fleet allows investors to (1) better understand if management can hit their rig activity guidance in the near-term, and (2) gain a sense of any deviation from market expectations for land drilling fundamentals industry-wide. I was able to scrape nine days of the company's rig data and visualized some takeaways below.

(Industry rig count from Enverus)

Data Takeaways

  • PTEN's rig utilization rate remained at 56% during the week ended Feb 8, 2020 (120 operating vs. 96 available), below levels needed to drive an increase overall rig dayrates

  • The company had 39% of its active rig fleet (47 rigs) working in West Texas over the same period, which is expected given the E&P's focus on oily basins such as the Permian

  • The APEX-XK and APEX-PK rig class combine to represent 75% of its entire fleet (48% and 26%, respectively)

  • Lastly, the vast majority of PTEN's active fleet (95% or 115 rigs) has 1,500 horsepower capability, reflecting the management's focus on higher-spec rigs 

About Author

Leave a Comment

No comments found.

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

#python #trainwithnycdsa 2019 airbnb Alex Baransky alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus API Application artist aws beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep Bundles California Cancer Research capstone Career Career Day citibike clustering Coding Course Demo Course Report D3.js data Data Analyst data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization Deep Learning Demo Day Discount dplyr employer networking feature engineering Finance Financial Data Science Flask gbm Get Hired ggplot2 googleVis Hadoop higgs boson Hiring hiring partner events Hiring Partners Industry Experts Instructor Blog Instructor Interview Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter lasso regression Lead Data Scienctist Lead Data Scientist leaflet linear regression Logistic Regression machine learning Maps matplotlib Medical Research Meet the team meetup Networking neural network Neural networks New Courses nlp NYC NYC Data Science nyc data science academy NYC Open Data NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time Portfolio Development prediction Prework Programming PwC python python machine learning python scrapy python web scraping python webscraping Python Workshop R R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn Selenium sentiment analysis Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau team TensorFlow Testimonial tf-idf Top Data Science Bootcamp twitter visualization web scraping Weekend Course What to expect word cloud word2vec XGBoost yelp