Daily Drilling Report


Artificial Intelligence Takes Shape In Oil, Gas Sector

#artificialintelligence

The Silicon Valley-based deep learning, artificial intelligence company utilizes supervised learning when it trains or teaches the artificial neural network how to find oil and gas using data from geoseismic studies. Nervana tested the proof of concept with Paradigm, which used Nervana Cloud to find subsurface faults and folds in 3-D seismic images. "We approached Nervana Systems to explore ways artificial intelligence could help improve operational efficiency in oil exploration. "Our target is really a data scientist," Rao said noting Nervana provides a general platform for applying neuro networks to data problems faced by not only the energy sector, but also the health care, finance, retail, agriculture and technology industries among others.


[Question] Is machine learning actually used to detect oil-spills or is it only been researched? • /r/MachineLearning

@machinelearnbot

Hello, so I am writing a paper on machine learning and I found this very interesting articale from 1998 where they researched on how machine learning could be used to detect oil spills from radar satellite images. I was wondering if these are actually used today, or if it still just something people have researched. I have tried searching for it, but i cannot find any reliable source confirming that machine learning is infact used to detect oil spills.


Oil & Gas Companies Turn to Artificial Intelligence to Save Money - Stochastic Simulation Community

#artificialintelligence

The technology, which gives companies the ability to predict future problems, is estimated to save the industry trillions of dollars and lead to a new wave of highly sophisticated jobs. "We know the industrial internet quite simply is the future of efficiency and productivity in the oil and gas industry. "We know there will be a shift in the oil and gas industry similarly to create a space where we use data analytics to provide predictability." "We know the industrial internet quite simply is the future of efficiency and productivity in the oil and gas industry.


Oil and Gas companies pin hopes on artificial intelligence

#artificialintelligence

With oil and gas prices hovering at decade lows, companies are turning to artificial intelligence to cut costs and boost productivity. The technology, which gives companies the ability to predict future problems, is estimated to save the industry trillions of dollars and lead to a new wave of highly sophisticated jobs. "We know the industrial internet quite simply is the future of efficiency and productivity in the oil and gas industry. "We know there will be a shift in the oil and gas industry similarly to create a space where we use data analytics to provide predictability."


Quanergy Announces 250 Solid-State LIDAR for Cars, Robots, and More

IEEE Spectrum Robotics Channel

Yesterday at CES, Quanergy, an automotive startup based in Sunnyvale, Calif., held a press conference to announce the S3, a solid-state LIDAR system designed primarily to bring versatile, comprehensive, and affordable sensing to autonomous cars. The S3 is small, has no moving parts, and in production volume will be US 250 or less. According to Quanergy, the S3 is better than traditional LIDAR systems in every single way, and will make it easier and cheaper for robots of all kinds to sense what's going on in the world around them.