Artificial Intelligence Markets
Oil & Gas businesses are looking for new technologies to help increase the accuracy of exploration and production, while reducing risks and operation costs. Advanced Integration has the expertise and solutions at the cutting edge of AI to answer these needs.
Edge Computing Fuels a Sustainable Future for Energy
Each day, energy flows throughout our lives – from the fuel that powers cars and planes, to the gas used for stove top cooking, to the electricity that keeps the lights on in homes and businesses. Oil, gas, and electricity are mature commodity markets, but AI is transforming the processes used to produce, transport, and deliver these resources. Enter AI deployed at the edge: on oil rigs, within power plants, riding along utility trucks, even embedded in smart buildings. Oil and gas enterprises and utilities are using AI and edge computing to improve operational efficiency, protect worker health and safety, integrate renewable energy, increase grid resiliency, and provide more reliable and affordable sources of energy to consumers.
Extract Value from Data
Turn massive amounts of data from routine upstream operations, pipeline and refinery sensors, and maintenance processes into actionable insights using NVIDIA AI tools.
Supercharge Your Compute
Speed up geophysical and engineering applications with high-performance computing, whether on-prem in your data center or in the cloud.
Protect Health and Environment
Ensure that proper personal protective equipment (PPE) protocols are followed and safety hazards are identified by using AI to observe equipment, predict and detect failures, and save lives.
Industrial sites, such as oil rigs and power plants, require extensive monitoring for efficiency and safety because liquid, steam, or oil leakages can be catastrophic, costly, and wasteful. Global energy leaders, are using AI and machine learning to deliver a path to autonomous power plants. The company trains AI models using thousands of images and video streams from millions of onsite cameras and sensors to detect process anomalies.
These models are deployed at the edge in power plants and use real-time inferencing to identify leaks. Rig operators are using computer vision, deep learning, and intelligent video analytics (IVA) to monitor heavy machinery, detect potential hazards, and alert workers in real-time to protect their health and safety, prevent accidents, and assign repair technicians for maintenance.
Oil and gas enterprises rely on finding the best-fit routes to transfer oil to refineries and eventually fuel stations. Edge AI can calculate the optimal flow of oil to ensure reliability of production and protect long-term pipeline health. Using IVA, these companies can inspect pipelines for defects that could lead to dangerous failures and automatically alert pipeline operators. Further downstream, NVIDIA ReOpt uses GPU-accelerated solvers for logistics and route optimization, which can efficiently route fuel to fueling stations.
Power grid maintenance
With proactive maintenance, utilities can accurately detect defects and reduce unplanned outages to better serve customers. FirstEnergy worked with Noteworthy AI, a NVIDIA Inception member, on a pilot project to automate utility pole inspections. Fixed camera systems powered by NVIDIA Jetson were secured to the roof of service trucks and collected standardized, high-resolution images of their utility poles, power lines, and pole-mounted assets.
The images were analyzed at the edge to determine if repairs or vegetation management was needed. Edge computing can help monitor the estimated 185 million utility poles in the United States, and reduce the tens of millions of dollars spent each year by utilities to manually track and maintain poles.
Power grid simulation
Intelligent forecasting using GPU-accelerated grid simulations combined with historical data on energy usage and weather can inform more efficient generation, distribution, and management of energy resources to consumers. AI helps manage the bidirectional flow of power in a grid, delivering reliable energy to residents and enterprises while automating the process for consumers to sell their additional energy back to the grid.
Modern data centers are very different than they were just a short time ago. Infrastructure has shifted from traditional servers who runs on CPU power to the new generation of computing leaded by GPUs.
Edge computing is a distributed, open IT architecture that features decentralized processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge computing, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data center.