Visit additional Tabor Communication Publications
December 07, 2007
AMSTERDAM, The Netherlands, Nov. 29 -- Paradigm, a leading provider of enterprise software solutions to the oil and natural gas exploration and production industry, and Chevron Corp., today announced that a major agreement has been reached for the global deployment of the Paradigm Interpretation and Modeling software solutions to integrate with Chevron's proprietary E&P systems.
The multi-year, multimillion-dollar agreement encompasses the deployment of Paradigm's next generation interpretation and reservoir modeling technologies and associated services. Paradigm will partner with Chevron Energy Technology Company (ETC) to implement the solution worldwide as well as to provide further technology development to support Chevron's specific E&P goals.
Chevron selected the Paradigm Interpretation and Modeling solution for its strong innovation and open integration framework. According to Peter Breunig, CIO of Chevron ETC, "After an extensive internal needs assessment and external market review, we selected Paradigm's cutting-edge interpretation and modeling framework solution for its strength in providing advanced interpretation and modeling workflows that will enable us to shorten our cycle-time and reduce our exploration risk. Paradigm's technology will be one of the key technologies deployed globally throughout our E&P organization and their framework will be integrated with our proprietary technology."
Chevron has also reached a multi-year agreement with Paradigm to extend its long-standing use of Paradigm's Geolog software, the industry reference for petrophysical data interpretation and analysis.
Jorge Machnizh, Paradigm COO, said, "These new agreements reaffirm the value of our more-than-10-year relationship with Chevron and puts to work a number of Paradigm's powerful emerging technologies. Paradigm is delighted to be chosen as a key partner in supporting Chevron's long term E&P strategic business goals."
Paradigm helps global oil and gas companies locate new reserves and optimize production in complex geological areas. Paradigm's technology advances the science of hydrocarbon detection with solutions in seismic data processing and subsurface imaging, prospect interpretation and modeling, reservoir characterization, and well planning and drilling. These exploration and production solutions operate in an open environment with connectivity to third-party data stores to accelerate project creation and turnaround. Paradigm has a global network of sales, services and user support, serving major oil and gas producing regions around the world. For additional information visit Paradigm's Web site at www.pdgm.com.
About Chevron Corporation
Chevron Corporation is one of the world's leading energy companies. With more than 53,000 employees, Chevron subsidiaries conduct business in approximately 180 countries around the world, producing and transporting crude oil and natural gas, and refining, marketing and distributing fuels and other energy products. Chevron is based in San Ramon, Calif. More information about Chevron is available at www.chevron.com.
Source: Paradigm Geotechnology BV
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).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
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 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.