Solaris Oilfield Infrastructure Inc. revealed on Dec. 2 a collaboration with Amazon Web Services Inc. (AWS) to provide its customers greater insights into oilfield data, including materials and storage usage, trend analysis, equipment and performance analytics, and predictive maintenance features.
Solaris believes a data platform that can both process the record levels of data being generated by operators and oil service companies today and allow customization of data capture and display will give its customers a valuable tool for analysis and data interpretation. The resulting data analytics could be used to drive improvements in safety, efficiency and ultimately lower well costs.
In order to provide these individualized data solutions for its customers, Solaris leveraged multiple AWS analytics capabilities including Amazon Timestream, Amazon Kinesis, Amazon QuickSight, Amazon Athena, and Amazon SageMaker, AWS’s machine learning service that enables data scientists and developers to build, train, and deploy machine learning models quickly.
“Our customers continue to focus on increasing operational efficiencies in order to maximize cash flow. We firmly believe that innovative data analytics will be a key driver in generating sustainable and quantifiable efficiencies for our customers. Through the use of data analytics and software, our end goal is to leverage machine learning to further automate processes, utilize predictive maintenance, and essentially do more with less, and AWS is helping us accomplish this,” Bill Zartler, Solaris’ chairman and CEO, said.
U.S. oil rigs fell by one to 491 this week, while gas rigs rose four to 113, their highest since January 2020, according to the closely followed Baker Hughes report.
"This award reiterates GATE's position as the global leader in the energy transition,” Karthik Annadorai, executive vice president of GATE Energy, said.
The investment bank said key oil products markets are showing "steep backwardation and inventories that have fallen to low levels."