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From 5,000 US Oilfields to Better Forecasts

Hi, we have a small update.

Something like 5000 oil deposits in US!!!

And that is not just raw data, they are processed to get base well decline curve, so even if you have some hesitations about ability of ML to predict production, you can use QuickField.ai to find the oilfield that you think is a geological analog and use those data.

But trust me, with ML you do it easier ;)

If you do field development planning or any kind of production and economical forecasts, contact me to get a demo and try our app, you gonna like it.

We already have:

  • Thouthands of analyzed historical datasets with access provided to our users
  • Functionality to store and use your company historical data
  • ML engine to create forecasts for oil greenfields including drilling plan, risk and uncertainties analysis and economy
  • Colaboration mode for teams - geologists can set a petrophysics, engineers and managers can make a drilling plan and prosuction forecasts, economists can do economical estimations - you can share data inside your team and be sure they are not going outside.
  • API for developers - if you do your own application that needs to evaluate recovery factor or production rates, you can integrate wit us by REST API

Whole functionality that previosly you had to combine from data providers, excel, different old fashioned tools - all is here.

#MachineLearning#OilAndGas#ReservoirEngineering#DataScience#RecoveryFactor#DigitalTwin#FDP#ProductionForecast#OilProduction

US oilfield data and decline curves
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