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The Hague, Netherlands

Fugro N.V. is a Dutch multinational company headquartered in Leidschendam with Mr. P. van Riel as Chairman of the Board of Management/CEO and H.L.J. Noy as Chairman of the Supervisory Board.Fugro provides geotechnical, survey and geoscience services to oil and gas, renewable energy, building and infrastructure, mining, and public sector industries. Fugro employs approximately 12,500 employees in over sixty countries.In 2013 Fugro’s revenues amounted to € 2.424 billion, it is listed on NYSE Euronext Amsterdam and is included in the AEX-Index.The Starfix and Skyfix DGNSS systems are operated by Fugro, and provide correction information to GPS and GLONASS navigation and survey systems. These systems are also called Seastar and Omnistar . Wikipedia.

Likos W.J.,University of Wisconsin - Madison | Jaafar R.,Fugro
Journal of Geotechnical and Geoenvironmental Engineering | Year: 2013

A model for the water retention behavior of unsaturated granular soil is developed by extending the classic bundled cylindrical capillary representation of pore space to a geometry more closely approximating that of granular porous media. Expressions for pore-scale saturation are derived as functions of matric suction for a three-dimensional unit pore comprising angular pore space bounded by spheres in simple cubic packing order. Water retention curves are modeled byassigning a statistical distribution of pore sizes optimized to best match experimentally determined retention curves. A key model attribute is its capability to capture evolution of fluid partitioning along drainage or wetting paths by differentiating pore water retained as thin films adsorbed to particle surfaces, liquid bridges retained in wedge-shaped pores, and saturated pockets in relatively small pores. Interfacial surface tension, solid-liquid contact angle, wettingdirection, and mineralogy (Hamaker constant) are treated as model variables to examine their influences on water retention. Modeled retention curves compare well with measured curves obtained for glass beads, natural sands, and soils fromthe literature. The model effectively estimates hysteretic wetting-drying response, surfactant-induced surface tension lowering, and air-water interface area as a function of saturation. Capability to model evolution of fluid distributionhas potentially important implications toward more robust understanding of macroscopic hydraulic, electrical, thermal, and mechanical behavior of unsaturated soil. © 2013 American Society of Civil Engineers.

Tree ring analysis provides a precise dating source for characterizing the timing of natural hazards. Specifically, seismogenic disturbances on trees have been successfully documented on major faults such as the San Andreas fault in California and Denali fault in Alaska. In this study, dendroseismology was employed along a 15-km-long stretch of the central North Anatolian fault (NAF) between Ilgaz and Tosya, Turkey where the most recent surface rupturing event was the Mw 7.6 1943 A.D. earthquake. Morphologic documentation and dendrochronologic analyses of 28 Pinus sylvestris trees demonstrates the effects of proximal surface rupture and secondary earthquake deformation. Fourteen trees show similar abrupt growth suppression and accelerated recovery trends following the 1943 A.D. Tosya earthquake. The number of trees yielding similar results, the linear spatial distribution of the traumatized trees along the NAF, similarity in the trend of annual ring growth response, and synchronity of these anomalies with the 1943 A.D. earthquake provide robust evidence for the correlation of the observed anomalies and the earthquake. In addition, four trees going back to early 18th century provide evidence for the lack of another surface rupturing large magnitude earthquake along this stretch of the fault. This finding corroborates that the historical 1668 A.D. earthquake is most likely the penultimate event for the Ilgaz-Tosya segment of the NAF. Copyright 2012 by the American Geophysical Union.

Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 386.97K | Year: 2016

BAE Systems, Maritime Services are working in collaboration with James Fisher Mimic, James Fisher Shipping, Fugro Geo, OSIsoft and Southampton University on a jointly funded project, with support from Innovate UK, to develop a holistic solution to assist the global shipping operators in understanding the tradeoff space for optimising fuel and energy consumption across their fleet. This includes deriving new insights into operational efficiency through complex data analytics; integrating disparate data sources through exploiting leading edge positioning; generator energy management; dynamic ship energy performance profiling and condition monitoring technology linked to prognostics. This innovative approach and capability will help ship operators to visualise and trade off many key factors that drive operational efficiency in future, which will help operators to drive down operational costs. Part of this work is to investigate how to establish a global standard for optimisation technologies, to encourage interoperability and leading edge solutions to meet a growing demand for ship optimisation measures.

Global Navigation Satellite (GNS) signal correction system (

Method for precise GNSS positioning system with improved ambiguity estimation. The method is based on the realization that, especially during convergence, the estimated float ambiguities are biased when estimated simultaneously with the ionosphere parameters. The ionosphere-like biases can be separated from the actual float ambiguities by using the fixed wide-lane (or extra wide-lane) integer ambiguities. The original real-valued ambiguities (e.g., one of L1, L2 and L5 in the GPS case) are corrected using the corresponding biases, resulting in reliable float ambiguities that are taken as input in the next processing step.

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