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athollywood | 2 years ago | on: Air quality monitors: paying more does not get you more accuracy
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athollywood | 9 years ago | on: Ask HN: What problem in your industry is a potential startup?
So to answer your question, any operator requires these services, though most dont know it. A company called Pason is the leading company in the drilling data industry. Their bread and butter is just data measurement and streaming, though they recently have entered the analytics space. Their technology seems pretty promising.
athollywood | 9 years ago | on: Ask HN: What problem in your industry is a potential startup?
athollywood | 9 years ago | on: Ask HN: What problem in your industry is a potential startup?
http://www.aogr.com/magazine/cover-story/fiber-optic-sensors...
athollywood | 9 years ago | on: Ask HN: What problem in your industry is a potential startup?
1. A better system for automation and measurement. Current solutions aren't ideal when it comes to setting up new systems as well as updating and maintaining existing systems. We build several million dollar facilities a month and each one has automation and measurement equipment that has to be individually set up and programmed. Each technician does things a slightly different way, and the end result is a different set of automation and measurement logic at each facility.
2) Fiber optic DATS (distributed acoustic and temperature sensing) data handling and interpretation. This is a fairly new type of technology in which a fiber optic line is installed in the wellbore. The fiber optic line basically acts as a 15,000' strand of thermometers and microphones placed every 3'. The data from one installation is on the order of terabytes per hour. Oil and gas service companies that offer this service don't know how to handle this amount of data. The problem could probably be solved with S3 or something.
3) Drilling optimization. Create a software suite that utilizes ML/AI to help drilling engineers figure out the best way to drill a well is. It's a perfect ML/AI application. Lots and lots of training data available, easily defined input and output parameters, etc. Drilling engineering is full of hard, non-linear problems and humans are just really bad at it. The only way to be good at it is to drill lots and lots of wells and then listen to your gut.