Refining Oil and Gas Discovery with Deep Learning
The oil and gas industry is one area where deep learning holds promise, at least in theory. For some steps in the resource discovery workflow, deep learning could lead to faster and more accurate results for potential discovery zones. Reservoir characterization is a critical step in this discovery process and is currently a hot area for
Over the last two years, we have highlighted deep learning use cases in enterprise areas including genomics, large-scale business analytics, and beyond, but there are still many market areas that are still building a profile for where such approaches fit into existing workflows. Even though model training and inference might be useful, for some areas that have complex simulation-driven
Machine Learning, Deep Learning & AI in Oil and Gas
“I thought the Machine Learning, Deep Learning, and AI in Oil & Gas conference was a worthwhile investment for Hortonworks, and enjoyed networking with professionals that are driving the adoption of advanced analytics in our industry.” Kenneth Smith, General Manager, Oil & Gas, Hortonworks
Although oil and gas software giant, Baker Hughes, is not in the business of high performance computing, the software it creates for the world’s leading oil and gas companies requires supercomputing capabilities for some use cases and increasingly, these systems can serve double-duty for emerging deep learning workloads.
10 Applications of Machine Learning in Oil & Gas
Machine Learning in Oil & Gas Applications can Transform the Industry. Machine learning in oil & gas will not only improve the customer experience but can also help to keep costs low across the process. The possible advantages that can be brought by machine learning in oil & gas to this competitive sector are massive.
Use Machine Learning to Optimize Oil Refining ferolabs. 2 21 Fero Labs Industrial machine learning for factories Current data analytics software struggles to solve the process improvement challenges facing modern industrial companies. Fero Labs was founded by a group of machine learning and industry experts to bridge this gap. Oil refineries are particularly well-situated to benefit from
Oil and Gas Archives The Next Platform
Although oil and gas software giant, Baker Hughes, is not in the business of high performance computing, the software it creates for the world’s leading oil and gas companies requires supercomputing capabilities for some use cases and increasingly, these systems can serve double-duty for emerging deep learning workloads.
Over the last couple of years, we have focused extensively on the hardware required for training deep neural networks and other machine learning algorithms. AI Refining Oil and Gas Discovery with Deep Learning
deep learning Archives Page 4 of 8 The Next Platform
deep learning. AI Pushing MPI into the Deep Learning Training Stack February 7, 2024 Nicole Hemsoth 0. We have written much about large-scale deep learning implementations over the last couple of years, but one question that is being posed with increasing frequency is how these workloads (training in particular) will scale to many nodes. AI Memory at the Core of New Deep Learning Research
We will look at the exploration and production of oil and gas, the processing and refining of the oil and gas into useable fuels and other valuable commodities, and finally the transport of oil, gas, and petroleum products from wells to refineries to retail outlets.