Tag: Blog

How do satellites know where to look?

Social media bring value to satellite alert systems through natural language processing Imagine a satellite orbiting the globe, quietly taking snapshots of the Earth’s

Securing the world’s longest high-voltage powerline networks from space

In a new algorithmic alert system, combining advanced mathematics and satellite imagery eliminates the blind spots of HV powerlines Picture vast stretches of powerlines,

Inside Kayrros: The Hackathon

Just seven hours to put innovative ideas to the test under the rue La Fayette On August 28, following “la rentrée” (the return) from

Keeping DUCs in a Row

While the US Energy Information Administration (EIA) has been reporting a drop in the Lower 48 inventory of drilled and uncompleted (DUC) wells in

On supply disruptions and satellite imagery

Last month’s attack on Saudi Arabia’s oil infrastructure was one of the biggest oil supply disruptions ever recorded but the market took it in

Data Fusion Enables Predictive Refinery Observation

Geospatial intelligence and data fusion are bringing petroleum refinery operations out of the shadows, setting the stage for predictive analytics as the new frontier

The Value of Data Lies in Time — An Amazonian Study

When a catastrophe hits, time is of the essence. But for the right actions to be taken, and for the right resources to be

Inside Kayrros: Manager Oscar Friedel on alternative problem-solving with data fusion

Tailoring ideas into digital realities. What if human imagination and alternative data could work in tandem? Oscar Friedel leads the development of Kayrros solutions,

Amid demands for budget rigor, Permian operators drop frac crews but maintain output

Frac crews in the Permian, the most prolific tight oil basin in the US, plunged by 19% in Q2 2019 year-on-year and 8% from

Alternative data usher in a new era of operational transparency in the shale patch

Using satellite imagery and deep learning to shed light on the blind spots of the US tight oil boom Twenty feet under a Haussmanian