Harnessing oil well drilling data to drive efficiency in oil explorations. With the sagging oil prices it becomes imperative to reduce the prospecting and drilling costs. Well drilling can be a very costly operation and it can take days to arrive at a decision. With our analytics technology, we can cut that time delay in decision making to seconds. This saving in time can translate to almost a 15-20% saving in oil drilling costs.
•FluidData Nets is a technology developed by Canada based CloudM Inc, a company that specializes in harnessing intelligence from fast moving data.
•FluidData Nets is a new branch of real time predictive data analytics at the confluence of  big data and machine learning. It is based on an ensemble of neural networks that are customized based on data volume, paramaeter types and empiricial data. 
•This  technology has been successfully applied to computer vision with astounding results
•FluidData Nets can be applied to other fields of business and this presentation explores application of the technology in the area of oil and gas prospecting and oil well drilling 
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What is the starting point ?
Your oil well data, which includes historically researched data on geology, deviation and bit curves, drilling curves and stuck and fishing data
We take this data as a starting point.
How is the data protected ?
We use your computing facility to setup our virtual compute cluster environment to process the data
Is there any special software required ?
We just need Linux machines. We use open source software like Apache Spark to process the data.
What do you do with the data ?
We study the data using our modelling software to identify the hyper parameters that best suit the oil wells in the region. Thereafter we build the FluidData Net that can be utilized in the field
What resources are required at the client end ?
Computing infrastructure, so that we can build the FluidData network based on your data at your facility and access to oil well drilling engineers to gather data that may not have been captured
What resources are required in the field to make FluidData Nets operational ?
Just a good laptop and interface to allow operational data to be fed in.