The main task in oil and gas exploration is to gain an understanding of the distribution and nature of rocks and fluids in the subsurface. Well logs are records of petro-physical data acquired along a borehole, providing direct information about what is in the subsurface. The data collected by logging wells can have significant economic consequences, due to the costs inherent to drilling wells, and the potential return of oil deposits. In this paper, we describe preliminary work aimed at building a general framework for well log prediction. First, we perform a descriptive and exploratory analysis of the gaps in the neutron porosity logs of more than a thousand wells in the North Sea. Then, we generate artificial gaps in the neutron logs that reflect the statistics collected before. Finally, we compare Artificial Neural Networks, Random Forests, and three algorithms of Linear Regression in the prediction of missing gaps on a well-by-well basis.

The consumer drones that opened the skies to the public may one day be giving a bird's eye view to Chinese authorities. Chinese drone maker DJI -- the world's largest maker of small drones -- said it was in talks with Chinese officials who want access to the data collected by its products, Bloomberg reports. That data could include flight records, GPS information and even video. Whether this applied to Chinese customers only, or customers in Europe and the U.S., has not been made fully clear. "Should DJI receive a valid legal request from a government agency," spokesperson Oliver Wang said in a statement to media, "we may provide user information to that agency, just as other companies do. That is the case in the U.S., China or anywhere in the world."