optimized oil extraction with edge computing (interview

Optimized oil production with edge computing (Interview

Optimized oil production with edge computing Optimized oil production with edge computing Siemens digitalization expert Helmut Schnabl talked about the strengths of a software-driven system and optimizing oil pumps directly on the field. Interview SIWELL Artificial Lift Suite Siemens is optimizing oil production by applying digital technologies The oil price has settled in at just under 80

IoT, AI and Edge Computing are transforming the oil

Leveraging the experience of designing and implementing predictive analytics, and the data collected and processed by edge devices, it is possible to move forward to an AI optimized plant, with lower operating costs and fewer maintenance issues. Ultimately, Carpenter said, it could be possible to start talking about a fully autonomous plant, where engineers are monitoring its operation using a

Serverless Edge Computing for Green Oil and Gas Industry

Edge computing can be deployed in oil rigs to process the latency-intolerant tasks, however, processing capacity of an edge system falls short at the time of a disaster-when several coordinated

Edge computing and artificial intelligence is a match made

Particularly in sectors such as oil and gas extraction, predictive maintenance could save millions in lost revenue caused by a fault. Factor in limited global cloud capacity, and a pressing demand

SIWELL Artificial Lift Suite Topic Areas Siemens

The next level of oil production Digitalization for a global industry Interview with Helmut Schnabl Optimized oil production with edge computing. Digitalization improves performance of field operations in oil and gas. SIWELL Artificial Lift Suite from Siemens offers next-generation well automation systems with artificial intelligence, smart devices, cloud computing, and IoT. SIWELL Artificial

Serverless Edge Computing for Green Oil and Gas Industry

In this paper, we propose federation of serverless edge computing systems to enable green oil extraction. The system utilizes an efficient resource allocation scheme to cope with the uncertainties that exist in remote offshore smart oil fields. We leveraged the edge federation to utilize underutilized neighbor edge devices and historical data to predict the completion time of an incoming

Leveraging assets: Walmart's new venture has lessons for

Edge computing is the concept of putting computing resources closest to where they're used. Rather than centralizing servers and storage, they're located at the "edge

Solving the information and big data challenge with

We are overflowing with data but, what matters is data with purpose”. Time to bring artificial intelligence (AI) into the unstructured data and document capturing equation.. In part one of this blog series, we looked at structured and semi-structured IDR (Intelligent Document Recognition), in part 2 we explained the triple challenge of unstructured information and concluded with the

Scalable, Secure Edge Intelligence Nutanix Xi IoT

A New Model to Simplify IoT and Edge Computing. The Nutanix Xi IoT platform delivers local compute and AI for IoT edge devices, converging the edge and your choice of cloud infrastructure into one seamless, efficient data processing platform. Xi IoT eliminates complexity, accelerates deployments, and frees developers to focus on the business logic powering IoT applications and services. Edge

What Is Edge Computing? Cognizant

Edge computing is a term that refers to placing computing resources close to where data is generated, accelerating analysis of that data and enabling a business to act on insights faster. Edge devices provide access to the corporate network from external networks, and may perform real-time data analysis protocol translation to ease data sharing with other systems.

Mobile Edge Computing Platform with Container-Based

MEC was born to deal with the problems of cloud computing. MEC-based image recognition can be achieved by deploying edge servers; the feature extraction of the image is unloaded to the edge server

Genius of Things Houston: through the eyes of our

Ian Uriarte, the Founder and CEO of Timbergrove, explains that, “In the Oil and Gas industry, innovation happens at the level of the hardware since these are mostly physical processes.So there is a reluctance in adopting software as a true asset. Henceforth, companies are focused more on the expensive physical tools for oil extraction, then the actual software used to manage these tools.”

Industrial computing evolves with the oil and gas industry

Industrial computing evolves with the oil and gas industry As oil and gas extraction moves to new locations—such as subsea oil sands and shale deposits, the computing systems that support these activities must adapt to function in these harsh environments. By Maria Hansson December 20, 2014. Facebook; Twitter; LinkedIn; Email; It’s not unusual to see volatility in the oil and gas

What Is Edge Computing? Cognizant

Edge computing is a term that refers to placing computing resources close to where data is generated, accelerating analysis of that data and enabling a business to act on insights faster. Edge devices provide access to the corporate network from external networks, and may perform real-time data analysis protocol translation to ease data sharing with other systems.

IoT Applications in the Oil and Gas Industry

IoT Applications in the Oil and Gas Industry. By adopting IoT applications, the oil and gas sector can improve safety and amplify profits simultaneously, with asset tracking and predictive maintenance solutions having the greatest impact. Oil and gas IoT applications may even become necessary for a competitive edge among rising geopolitical and climate change tensions. Shannon

What is an Intelligent Edge? Definition from Techopedia

Intelligent edge is a term describing a process where data is analyzed and aggregated in a spot close to where it is captured in a network. The intelligent edge, also described as “intelligence at the edge,” has important ramifications for distributed networks including the internet of things (IoT).

Edge Services—Intelligent Edge Design, Setup &

edge computing to create a competitive edge With ever-increasing business opportunities across the industry, your organization must build edge-to-core services with an outside-in view. Cognizant’s Edge Services brings together edge-to-core infrastructure, analytics, related vertical solutions, services and platforms for industry nuances and scale.

Edge-comp meets digital twins to boost IoT analytics and

Edge-comp meets digital twins to boost IoT analytics and event processing . By Phil Hunter . Edge computing and digital twins were hot topics at the recent AI World conference in Boston, highlighting the growing role of infrastructure and hardware architecture in advanced computing. The two concepts are themselves intimately related, to the extent that some pundits are betting on their

VNF Placement Optimization at the Edge and Cloud

However, Fog computing focuses on the infrastructure perspective while the Edge computing on things, pushing computing capabilities closer to the mobile devices in radio access networks (RAN) [9,10]. In this current work, since the emphasis is on the traffic generated by the IoT layer, we are using the MEC definition as our Edge Computing solution.

DEFINING FOUR EDGE ARCHETYPES AND THEIR TECHNOLOGY

DEFINING FOUR EDGE ARCHETYPES AND THEIR TECHNOLOGY REQUIREMENTS. 2 Introduction Over the last several years, “edge computing” has become one of the most talked about trends in IT, and for good reason. Grand Valley Research projects a CAGR of 41 percent for edge computing between 2018 and 2025. Nearly every industry is recognizing the limitations of supporting users and

Fog Computing: Outcomes at the Edge with Machine

Edge computing (or Fog Computing) is a method of optimizing cloud computing systems by performing data processing at the edge of the network, near the source of the data. Edge computing

Talent Management Digital Transformation in Oil & Gas

[1] Gartner defines edge computing solutions as: “facilitate data processing at or near the source of data generation and serve as a decentralized extension of cloud, data center or campus networks. Typical sources of data generation in the context of industrial Internet of Things (IoT) include sensors and control devices such as programmable logic controllers (PLCs) and distributed

Open19 Foundation Joins Kinetic Edge Alliance | IT

The future of computing is at the edge, The Open19 platform is designed for the edge and optimized for the solution as defined by the Kinetic Edge alliance. It will enable a standard but

Edge Computing Emerges as Megatrend in Automation

An edge computing device can also provide this gateway translation capability. “One of the benefits of Edge technology is its ability to perform analytics and optimization locally, and therefore achieve faster response for more dynamic applications, such as adjusting line speeds and product accumulation to balance the line. You do not expect this capability of a gateway,’” Kowal added.

Capgemini's SAP S/4HANA-Based Solutions for the Oil and

Azure can offer additional benefits for EnergyPath and READYUpstream that help drive agility and growth. NEW YORK–(BUSINESS WIRE)–Capgemini announced today that its EnergyPath and READYUpstream solutions for the oil and gas industry are now optimized for Microsoft Azure. The cloud platform provides security, scalability, and agility for these widely adopted solutions to help

Edge-comp meets digital twins to boost IoT analytics and

Edge-comp meets digital twins to boost IoT analytics and event processing . By Phil Hunter . Edge computing and digital twins were hot topics at the recent AI World conference in Boston, highlighting the growing role of infrastructure and hardware architecture in advanced computing. The two concepts are themselves intimately related, to the extent that some pundits are betting on their

Vertiv Identifies Four Main Archetypes For Edge

Vertiv, formerly Emerson Network Power, in conjunction with an independent third party consulting firm, has released a report that identifies four main archetypes for edge data center applications and the technology required to support them. In this report, Vertiv identifies more than 100 use cases and refined the initial list to 24 considered to have the greatest impact on businesses and end

Efinix Completes Trion FPGA Family for Edge Computing,

Efinix Completes Trion FPGA Family for Edge Computing, AI/ML and Vision Processing Applications Using Cadence Digital Full Flow Solution . Cadence Design Systems, Inc. (Nasdaq: CDNS) today announced that Efinix successfully utilized the Cadence ® digital full flow solution to complete the first wave of its Trion family of field programmable gate arrays (FPGAs), which are used in edge compute

Inspur Edge AI Servers Now Supporting NVIDIA EGX

SAN JOSE, Calif.–(BUSINESS WIRE)–#AI–Recently at GTC China 2019 Inspur announced that its edge computing servers NE5260M5 and NF5280M5 now support the NVIDIA EGX, a high-performance cloud native platform. The servers have also obtained the NGC-Ready for Edge certification, which, in combination with the NVIDIA EGX stack optimized for edge computing, allows customers quickly

Edge Computing in The Connected Enterprise Rockwell

This new direction is highly connected so devices and processes can be continually monitored and optimized. Smart operations require the use of new and disruptive technologies, from analytics and mobile to collaborative machines and scalable computing at the edge. These technologies communicate with each other and adapt to internal and external conditions. Smart operations also require new

AWS Snowball Secure Edge Computing and Offline Data

AWS Snowball, a part of the AWS Snow Family, is a data migration and edge computing device that comes in two options. Snowball Edge Storage Optimized devices provide both block storage and Amazon S3-compatible object storage, and 40 vCPUs. They are well suited for local storage and large scale-data transfer. Snowball Edge Compute Optimized devices provide 52 vCPUs, block and

Artificial Intelligence Application in Oil and Gas

Artificial Intelligence Application in Oil and Gas 1. Predictive Futures Cognitive Analytics 2. Todays Speakers Stuart Gillen Director, Business Development Kumar Ramasundaran Director, Digital Automation Tim Shea Senior Analyst 3.

Greenpeace Report: Oil in the Cloud Greenpeace USA

In a recent interview with theCUBE, Google Cloud managing director Will Grannis stated Google will not “develop custom AI/ML solutions to facilitate upstream extraction” for the oil and gas industry and instead focus on solutions for the renewables sector. This is a good step, however, Google still needs to account for its existing involvement with oil and gas companies and publicly commit

Edge AI Solutions with NVIDIA's AI Technologies

Combining its strong edge computing expertise with NVIDIA’s AI and deep learning technologies, Axiomtek delivers a full portfolio of GPU-optimized hardware platforms and data communication solutions for deploying AI to the edge, helping customers speed up implementation of deep learning capabilities into their IoT devices and turn Artificial Intelligence of Things (AIoT) into reality

M-CORD Demo Optimized Core for IoT #ONS2017

Mobile CORD (M-CORD) offers the potential to serve as the optimized core for IoT applications. Rishi Maulick, Architect for Radisys, walks us through a

What the Cutting Edge Looks Like Today State of the

What the Cutting Edge Looks Like Today Jim not all of them are what might be strictly termed edge computing deployments by the definitions in the Open Glossary of Edge Computing. But when viewed on a continuum, there is definitely a movement towards a new generation of edge computing. Example: A company that manufactures equipment for oil and gas extraction has created a platform built on

Fuel Your Business with an Intelligent Edge Nutanix

Edge data can also improve inventory management, ensuring product availability and easing supply chain strains. Oil and Gas: Transform upstream and downstream operations with edge intelligence. Real-time analysis of well sites can optimize extraction processes, and analysis at retail locations can identify trends to maximize revenue. Smart Cities:

Fuel consumption monitoring Technoton

Fuel consumption monitoring system allows machinery-owner to recalculate fuel consumption quotas for each unit of equipment. Our experience shows that fleets, which operate less common tractors or special vehicles, have just a general idea of the real consumption of diesel fuel. The consumption rates (quotas) approved by governmental bodies or

Development prospects for the oil refining and

If oil prices recover, we can potentially attract capital investments in the developed oil and gas fields. If production levels increase, the issue of refining hydrocarbon volumes will become more topical. With the existing unchanged demand for petroleum products such as gasoline and kerosene, the world demand for polyethylene is forecasted to double in 10-12 years.

BIT FEED Intel® Insights Subscription Page

Growth in IoT and other factors, have given rise to a new computing paradigm the edge where workloads are located away from the data center. When devices on the edge become capable of utilizing data meaningfully, new opportunities open up. Intel is facilitating this with an edge ecosystem and a product portfolio optimized to deliver performance across the network, cloud, and even the edge.



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