Checklists for your next Department Meeting. How do You Well Data?

Posted 01.04.2019 01:00 by Magnus Tvedt

Checklists for your next Department Meeting. How do You Well Data?

Drilling and well teams typically has incredibly strong engineers but management principles has not been updated with technology and corporate innovations over the last decade. Use this article-of-lists for inspiration. Share if you like it, on LinkedIn or email or wherever you meet your peers.

First things first. To get to new horizons, we need to ask questions. Ask yourself: "How will well planning evolve?" If your answer is, "Pretty much the same," then promise yourself to read this question again in three minutes, when you have read the rest of this article. And do post your comments!

How do you treat well data?

Yes, dear manager, we know you don't want to hear more about data, you just want to do your job. But part of the pain you are feeling is because your job is changing. Here are some tips:

  • Use data to document your hypothesis. Your colleagues say yes if they can avoid a meeting or extra work, your data tell you it's 68% likely.
  • If you don't have data you can't make a decision. Treat your colleagues the same way you would penalize a software for not giving you an updated answer.
  • Search for what you don't know. Inspire your team to find underlying reasons. Who do you want to be, the one who searches for cute cats, or the one who searches for how people categorize cat traits into positive or negative bins?
  • Seriously, when did you actually search for something at work which you didn't know the answer to?

Are you a fan of crime series?

Guess what, you have at least a dozen murders waiting in your data sets. Let's put them in a list:

  • That lost circulation case you had to dismiss before finding a proper cause.
  • The trend of cavings in a shale you think is the reason for stuck incidents.
  • Lisa, the geologist, said we have no experience with carbonate stringers in that area you lost your entire fluid volume.
  • And you want to prove her wrong!

This is data analysis, which starts with data. And curiosity. And a lot of experience.

With data and experience, you can (I'll randomly pick the list format here):

  • Document hypothesis with probabilities

"3 of the latest 8 wells have this symptom"

  • Search outside your personal experience

"They have actually drilled thousands of meters horizontally in that formation we have not dared to deviate in"

How do you treat your people?

Engineers are 90% data analysts, and 10% technical calculators. How do other companies treat their data analysts? Seen many Google engineers come in on your team, or engineers leaving for promising jobs with Amazon? No, you haven't, but you should have.

  • Invest in people. Let them discover new opportunities on how to work.
  • A modern engineer knows how sensors communicate and the Titanic data set in Sci-kit learn.
  • Ask for help. Unless you have been 10 hours a week on Udemy or Coursera the last few years, you are probably not the best adviser on how to develop modern skills.
  • Be motivated by the competition from new tech. Ask questions on how new tech would change your work place?
  • Make sure decisions can be tracked. Give rewards like credit for a good call and learnings from mistakes.
  • Engineers are not robots, they want to grow into new opportunities. Let the opportunities happen where they are.
  • Think you could do with fewer engineers?
  • Think again, your wells should be faster, cheaper and better.

Drilling and well engineers have been treated as a commodity. Give them the opportunity to grow modern skills and you will soon learn that well planning isn't what you thought it was.

Most importantly, how do you treat yourself?

What are your ambitions. Many drilling and well organizations are bogged down with group thinking and complacency. When did you last challenge how you work and invest in making a change for a more advanced organization.

Search for inspiration, look at successful entrepreneurs on youtube, or listen to podcasts on machine learning and how modern companies rise and giants fall.

Accept that times are changing, if you are not acting, you are closing your eyes for the ice bergs (see point 2 in How do you treat people).

Hah, nothing new here for me!

Great, you are our future! Now go talk to someone who need some inspiration!

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The Team

Pro Well Plan AS is based in Bergen, Oslo and
Stavanger
Magnus Tvedt
CEO Magnus Tvedt magnus.tvedt@prowellplan.com
Nicholas Mowatt Larssen
CTO Nicholas Mowatt Larssen nimola@prowellplan.com
Cathrine Tangerås Eide
Project Manager Cathrine Tangerås Eide cathrine.eide@prowellplan.com
Khushal Adlakha
Data Scientist Khushal Adlakha khushal.adlakha@prowellplan.com
Torgeir Lassen
CFO Torgeir Lassen torgeir.lassen@prowellplan.com
Eirik Lyngvi
Software Developer Eirik Lyngvi eirik.lyngvi@prowellplan.com

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