March 14, 2013
BEIJING, March 14 — IBM today announced that Sichuan Geophysical Company of Petroleum Administration Bureau (SCGC), one of the largest oil and gas seismic exploration and engineering service providers in China, has adopted IBM PureSystems. The PureFlex solution will allow SCGC to analyze seven times more seismic data than before, enabling the exploration of larger oil and gas fields, while reducing the environmental footprint.
SCGC, part of a Chuanqing Drilling Engineering Limited and a subsidiary of China National Petroleum Corporation (CNPC), provides engineering and technical services to the international oil and gas industry in China, Turkmenistan, Pakistan and Ecuador. Its services span a broad range of areas including: engineering and geological research; geophysical survey; drilling engineering; down hole services; mud logging, well logging and perforating; oil and gas field engineering construction and development; and oil/gas field cooperative development. In 2012 CNPC, one of the world's largest exploration companies, produced 110 million metric tons, up 2.79 million metric tons from a year earlier. According to a research institute affiliated with China National Petroleum Corp., China's oil demand in 2013 is expected to rise to 514 million metric tons, up 4.8 percent over last year.
"Today many of the systems and processes associated the oil and gas industry are not efficient enough to be sustainable. For example, an oil field exploration can generate one terabyte of data daily, and a petroleum engineer may devote up to 70 percent or more of his or her time mining this data," says Deng Yali, Deputy Chief Engineer, SCGC. "In order to increase our seismic imaging capabilities, reduce the risk of drilling "dry holes" and leverage our vast geographical region faster, we need to analyze at least seven times more data and do that much faster than before."
To help meet this goal and implement the new IT infrastructure, SCGC worked with IBM and Sichuan Zhonglu Technology & Trader Co., Ltd. The solution runs the CAD/CAE professional software on IBM Flex System x240, PureFlex p750, Flex System Chassis and uses IBM General Parallel File System (GPFS) - a high-performance storage enterprise file management platform. The new smarter computing infrastructure can integrate seismic and geologic data from multiple sources and use advanced data modeling.
As a result, SCGC can now be more precise in locating remote resources thus avoiding "dry hole" drilling. A data analysis cycle now takes approximately a week - a process that took 27 days to complete before. Analytics, optimization and virtualization techniques can render larger amounts of complex data in more intuitive ways, allowing engineers to improve their decision making and, ultimately, their production effectiveness. These new capabilities can help increase the utilization of the existing gas and oil fields. Given the enormous price tag of drilling a new well and the complexity of managing production facilities, even modest increases in oil exploration and production efficiency could tremendously improve energy affordability.
"The oil and gas companies in the future will rely not only on natural resources, but also on their ability to develop a clear focus on building adaptive business models and deploying strategic technologies," said Dominic Tong, Vice President, Systems & Technology Group, IBM Greater China Group. "The IBM PureSystems solution we delivered to Sichuan Geophysical Company of Petroleum Administration Bureau enables a new level of analytical insight that fits with client's need for cost effectiveness, sustainability and faster time-to-market."
The IBM PureSystems family offers clients an alternative to current enterprise computing models, where multiple and disparate systems require significant resources to set up and maintain. PureFlex System enables organizations to more efficiently create and manage an infrastructure.
PureApplication System helps organizations reduce the cost and complexity of rapidly deploying and managing applications. PureData System is tuned for cloud computing and can consolidate more than 100 databases on a single system. In addition to the common web application patterns supported by PureApplication System, the combination of both PureData and PureApplication Systems can be used for end to end transaction workloads.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.