How to drill a better hole with analysis


1. Oil and gas: How to drill a better hole

What if you could optimize the speed of drilling a deep hole in the ground depending on surface materials and other environmental factors? Using SAS, data scientists discovered a way to bring data back to the drill while drilling, and automatically adjusted drilling speeds to increase efficiency and reduce crashes.

David Pope, Senior Manager for pre-sales support at SAS says: “This patent is bound to IoT, analytics and SAS® software. Without one of these things, this patent would not have been possible. “Pope shares the patent with three other colleagues at SAS.

“It’s nice to be recognized for solving a problem no one else has ever thought of,” Pope says. The patented technology uses SAS to analyze the environment and optimize the speed of a drill bit when breaking through cutting and deepening a borehole.

Pope has a total of 12 patents and serves as a mentor to colleagues who share his interests in innovation.

2. Financial services: Reducing risks in banks and beyond

Streaming data management is still a new concept for many applications designed to analyze data being processed by the system as a single static batch. Instead of rebuilding all these systems, what if there was a way to simply fool the system into thinking a new streaming data source was actually a static one.

Katherine Taylor, Senior Data Scientist at SAS, has been granted a patent on a system that does just that. While initially developing the methodology for streaming data analysis to enable real-time risk calculations in a large bank, she soon realized that the same method could work for any system receiving streaming data.

“It was developed to help banking, but the patent itself used electricity charge management as an example. Any industry can use this and benefit from it, ”Taylor explains. She has obtained two patents, has a third approved and a fourth pending.

3. Manufacturing: Monitoring of complicated systems and processes

Today’s production facilities are filled with complicated, interconnected systems and processes. When a small piece of the system fails or slows down, the downstream effects can be monumental.

A new system collects data from these complex systems as they work to prevent errors and optimize processes. This helps manufacturers achieve their daily and annual goals.

“Our method is to improve what has been done before in manufacturing and is perfect for IoT data,” says Anya McGuirk, Distinguished Research Statistician Developer at SAS. Her innovation is designed to analyze data from more than a thousand sensors that send data at sub-seconds speeds from many different parts of the plant or plant.

This newly patented method helps to record when these machines or processes start to fail. It identifies a change in process means or a change in process variability. “Our method is not only an improvement on previous methods,” McGuirk says, “but perhaps more importantly, it is easier to implement and especially well suited for cases where data readings are coming at a high rate – IoT-type data . ”

The future of innovation at SAS

Gathered patent numbers across the industry it shows artificial intelligence and Internet of Things are still two of tech’s hottest areas for innovation.

Likewise, many of SAS’s recent patents (see USPTO list) has focused on AI and IoT. And if the answers from the patents interviewed here are any indication, there will be many new inventions coming in these and other areas from SAS.

I recently changed roles to focus on artificial intelligence and machine learning, ”says Taylor. “There are still many opportunities to innovate and improve methods in this area.”

McGuirk is excited about how these and future innovations will change the way problems are solved. “Not only are we implementing methods that people have come up with before, but we’re actually innovating and pushing on the envelope,” she says.



Source link