Geoscience simulations are key to the discovery of oil and gas, as well as performing geological modeling. Today, many of the top geoscience applications as well as numerous others are accelerated with GPUs. The need to store and transcribe huge amounts of data through image and data processing is growing exponentially. The more GPUs and flash memory available, the quicker the data can be used. GPU appliances supporting multiple NVIDIA GPUs and Flash memory appliances supporting multiple NVMe flash memory cards are quickly becoming the best and most economical way of accomplishing this tremendous feat.
The majority of today’s oil comes from older reservoirs that have already had the easy-to-reach oil extracted. Oil and gas companies are having to go deeper and use more advanced techniques. As sensor technology advances, the amount of seismic data that needs to be processed and interpreted increases. Oil and gas companies are using cutting edge technology, like high performance computing (HPC) servers, compute accelerators and flash storage arrays for applications such as seismic processing, seismic interpretation and reservoir modeling. Oil and gas companies use complex algorithms to process, analyze and visualize huge seismic data sets. In the past, these data sets took lengthy amounts of time to process, slowing down the entire oil and gas operation.
Today, seismic processing and interpretation can be sped up by using GPUs because GPUs perform well for the parallel computations used in these applications. Huge speed increases have been achieved by using NVIDIA Tesla GPUs. Tesla GPUs have been deployed into production to accelerate seismic processing at various oil majors like Schlumberger, Chevron, TOTAL, Petrobas, Repsol, etc. The algorithms used were designed with GPUs in mind, so adding they can take advantage of the additional compute power that comes from adding even more GPUs. The OSS High Density Compute Accelerator can accommodate up to 16 NVIDIA Tesla V100 GPUs, adding 251.1 Tflops of compute power to servers used for seismic processing and interpretation.
As energy companies push the boundaries of technology to find oil and gas fields more cost effectively, the scope and complexity of seismic data processing and interpretation are growing exponentially. At stake is the ability to extract value from this large volume of seismic data to reduce uncertainties, improve the accuracy of reservoir predictions, and mitigate the risk associated with expensive drilling and production activities.
The speed and accuracy and seismic interpretation are critical in the exploration workflow. However, traditional inerpretation methods are increasingly challenged by the volume of data, fewer experts in the industry, and the influx of new hires pushing innovation for personal productivity such as augmented reality and auto-exraction.
Multi-GPU Technology boosts scalability throught the use of two or more professional GPUs for visualization and heavy computation. This improves real-time calculation of seismic trace attributes and visual analysis of complex regional basins right at the interpreter's desk. The result is dramatically reduced model processing cycle times and sharper images of region-of-interest datasets leading to more effective lease bidding, higher service revenues, and ultimately greater chances of striking oil.
Key ISV and Applications using GPUs for Seismic Processing:
Reservoir modeling consists of constructing a computer model of a petroleum reservoir in order to improve the estimation of the petroleum in the reservoir and also to aid in the development of the oil and gas field. A reservoir model represents the reservoir’s physical space by an array of distinct compartments, demarcated by either a regular or irregular grid. The model is usually three-dimensional, but sometimes one-dimensional and two-dimensional models are used. Each compartment has many different values that represent aspects of the reservoir such as how porous it is, how permeable, and what the water saturation is. These models are very detailed and contain large amounts of data. A typical server used for reservoir modeling may have multiple CPUs, but for processing as much data as this field needs to, GPUs can process this data much more quickly.
Here are some reservoir modeling applications that can be sped up by using GPUs:
Sometimes with reservoir modeling there is uncertainty so it is necessary to create several different models. In order to store these huge datasets, the server requires a large amount of storage. The One Stop Systems Flash Storage Array (FSA) has over 200TB of flash storage capacity. Adding the FSA to any server would dramatically increase the storage capacity, allowing for a high volume of reservoir modeling data.
Our compute accelerators support from one to sixteen double-wide PCIe cards and can be cabled up to four host computers through PCIe x16 Gen3 connections each operating at 128Gb/s. The all-steel construction chassis house power supplies, fans, and a system monitor that monitors the fans, temperature sensors and power voltages. Front panel LEDs signal minor, major or critical alarms. The compute accelerators are transparent and do not require software except for the drivers required by the PCIe add-in cards. Compute accelerators are the best appliance for applications that require a large amount of compute power.Learn More
Our flash storage arrays support from one to thirty-two single-wide PCIe cards and can be cabled up to four host computers through PCIe x16 Gen3 connections each operating at 128Gb/s. The light-weight, compact chassis house power supplies, fans, and a system monitor that monitors the fans, temperature sensors and power voltages. Flash storage arrays are the best appliance for applications that require a large amount of fast, flexible storage.Learn More