Deepwater Current Profile Data Sources for Riser Engineering Offshore West Africa

2013 ◽  
Author(s):  
Gus Jeans ◽  
Liam Harrington-Missin ◽  
Mark Calverley ◽  
Christophe Maisondieu ◽  
Cyril Frelin ◽  
...  
Keyword(s):  
Numerical Model ◽  
West Africa ◽  
Primary Source ◽  
Current Data ◽  
Model Data ◽  
Current Profile ◽  
Field Development ◽  
In Situ Data ◽  
Reliable Quantification

Reliable quantification of current profiles is required for safe and cost effective offshore exploration and field development. The current regime offshore West Africa is often considered benign, compared to some regions of oil and gas activity, but still presents challenges to reliable quantification. A key challenge to all offshore developments is acquisition of appropriate data. The primary source of data for riser design is site specific full water column measurement. Such in-situ data are generally expensive and time consuming to collect, so there is an increasing tendency for numerical model current data to be considered. Model data are often relatively quick and inexpensive to obtain, with the added benefit of a much longer duration, potentially allowing inter-annual variability and extreme events to be captured. However, the accuracy and reliability of numerical model data remains questionable, or unproven, in many deepwater development regions. This paper explores the suitability of such models to represent a deepwater site offshore West Africa, in relation to the key oceanographic processes revealed within the in-situ data.

Deepwater Current Profile Data Sources for Riser Engineering Offshore Brazil

2012 ◽  
Author(s):  
Gus Jeans ◽  
Marc Prevosto ◽  
Liam Harrington-Missin ◽  
Christophe Maisondieu ◽  
Christelle Herry ◽  
...  
Keyword(s):  
Numerical Model ◽  
Primary Source ◽  
Current Data ◽  
Data Sources ◽  
Model Data ◽  
Current Profile ◽  
Profile Data ◽  
Site Specific ◽  
In Situ Data

A variety of current profile data sources are compared for a deepwater site offshore Brazil. These data were gathered for consideration as part of the Worldwide Approximations of Current Profiles (WACUP) Joint Industry Project, described separately in OMAE2012-83348. The primary source of data for current profile characterisation is site specific full water column measurement. Sufficiently high vertical and temporal resolutions are required to capture the dominant oceanographic processes. Such in-situ data are generally expensive and time consuming to collect, so there is an increasing tendency for numerical model current data to be considered for engineering applications. In addition to being relatively inexpensive and quick to obtain, model data are also typically of much longer duration. This potentially allows inter-annual variability and rare extreme events to be captured. However, the accuracy and reliability of numerical model data remains questionable, or unproven, in many deepwater development regions. This paper explores the suitability of such models to represent a deepwater site offshore Brazil, in relation to the key oceanographic processes revealed within the in-situ data.

Current Profile Data Sources for Engineering Design West of Shetlands

2014 ◽  
Author(s):  
Gus Jeans ◽  
Joe Fox ◽  
Claire Channelliere
Keyword(s):  
Numerical Model ◽  
Engineering Design ◽  
Current Data ◽  
Data Sources ◽  
Model Data ◽  
Current Profile ◽  
Profile Data ◽  
Field Development ◽  
In Situ Data

Current profile data sources considered for derivation of engineering design criteria West of Shetland are described. The region is impacted by a variety of oceanographic processes that combine to produce a complex current regime. Reliable quantification of the resulting current profiles is required for safe and cost effective offshore exploration and field development. A key challenge to all offshore developments is acquisition of appropriate data. Site specific measurement remains the primary current profile data source for engineering applications, with full water column coverage at sufficient resolution required for riser design. Such in-situ data are generally expensive and time consuming to collect, so there is an increasing tendency for numerical model current data to be considered. Model data are often relatively quick and inexpensive to obtain, with the added benefit of a much longer duration, potentially allowing inter-annual variability and extreme events to be captured. However, the accuracy and reliability of numerical model data remains questionable, or unproven, in many deepwater development regions. This paper describes a recent study in which in-situ data remained the primary source for derivation of current profile criteria for engineering design. Short duration proprietary data were supplemented by additional public domain data from nearby sites in a regional synthesis, with critical results. The performance and benefits of readily available model data are also considered.

Synergistic Use of Satellite and In-Situ Current Data to Improve the Characterisation of Seasonal Trends

2009 ◽  
Author(s):  
Liam Harrington-Missin ◽  
Mark Calverley ◽  
Gus Jeans
Keyword(s):  
Current Data ◽  
Seasonal Trend ◽  
Measured Signal ◽  
Geostrophic Current ◽  
Geostrophic Currents ◽  
Current Regime ◽  
Long Period ◽  
In Situ Data ◽  
One Year

The synergistic use of measured in-situ current data and altimetry derived geostrophic current data provides improved seasonal characterisation of the current regime, West of Shetland. In September 2007, considerable downtime was experienced by an offshore operator, West of Shetland, as a result of unexpectedly high currents persisting for a number of days. This downtime was unanticipated following conclusions derived from one year of in-situ measured data, which suggested a most favourable current regime during the months August to October. Ten years of altimetry derived geostrophic currents were utilised in conjunction with approximately 3 years of in-situ data to assess the validity of the reported seasonal trend. The altimetry derived geostrophic currents correlated well with the dominating long period signal extracted from the in-situ data. Seasonal comparison between the altimetry derived geostrophic currents and the total measured signal showed the previously available measurement year had a relatively benign September. Based on the 10 years of satellite data, the inter-annual variability of the current regime West of Shetland does not show any clear seasonal trend.

scholarly journals An ECOOP web portal for visualising and comparing distributed coastal oceanography model and in-situ data

2011 ◽  
Vol 8 (1) ◽  
pp. 189-218 ◽  
Author(s):  
A. L. Gemmell ◽  
R. M. Barciela ◽  
J. D. Blower ◽  
K. Haines ◽  
Q. Harpham ◽  
...  
Keyword(s):  
International Standards ◽  
Distributed Model ◽  
Model Data ◽  
Web Portal ◽  
Web Map ◽  
In Situ Data ◽  
File Formats ◽  
Open Geospatial Consortium ◽  
Map Service

Abstract. As part of a large European coastal operational oceanography project (ECOOP), we have developed a web portal for the display and comparison of model and in-situ marine data. The distributed model and in-situ datasets are accessed via an Open Geospatial Consortium Web Map Service (WMS) and Web Feature Service (WFS) respectively. These services were developed independently and readily integrated for the purposes of the ECOOP project, illustrating the ease of interoperability resulting from adherence to international standards. The key feature of the portal is the ability to display co-plotted timeseries of the in-situ and model data and the quantification of misfits between the two. By using standards-based web technology we allow the user to quickly and easily explore over twenty model data feeds and compare these with dozens of in-situ data feeds without being concerned with the low level details of differing file formats or the physical location of the data. Scientific and operational benefits to this work include model validation, quality control of observations, data assimilation and decision support in near real time. In these areas it is essential to be able to bring different data streams together from often disparate locations.

scholarly journals Ant Colony Optimization for Data Acquisition Mission Planning

2014 ◽  
Vol 5 (2) ◽  
pp. 3-11 ◽  
Author(s):  
Giancarlo Colmenares ◽  
Fadi Halal ◽  
Marek B. Zaremba
Keyword(s):  
Data Acquisition ◽  
Ant Colony Optimization ◽  
Monitoring System ◽  
Water Quality Monitoring ◽  
Current Data ◽  
Ant Colony ◽  
Continuous Space ◽  
In Situ Data ◽  
Water Pollutant

Abstract The probabilistic Ant Colony Optimization (ACO) approach is presented to solve the problem of designing an optimal trajectory for a mobile data acquisition platform. An ACO algorithm optimizes an objective function defined in terms of the value of the acquired data samples subject to different sets of constraints depending on the current data acquisition strategy. The analysis presented in this paper focuses on an environment monitoring system, which acquires in-situ data for precise calibration of a water quality monitoring system. The value of the sample is determined based on the concentration of the water pollutant, which in turn is obtained through processing of multi-spectral satellite imagery. Since our problem is defined in a continuous space of coordinates, and in some strategies each point is able to connect to any other point in the space, we adopted a hybrid model that involves a connection graph and also a spatial grid.

scholarly journals Origin and Fate of the Chukchi Slope Current Using a Numerical Model and In‐situ Data

2021 ◽  
Author(s):  
Hengling Leng ◽  
Michael A. Spall ◽  
Robert S. Pickart ◽  
Peigen Lin ◽  
Xuezhi Bai
Keyword(s):  
Numerical Model ◽  
In Situ Data

scholarly journals An ECOOP web portal for visualising and comparing distributed coastal oceanography model and in situ data

Ocean Science ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 445-454 ◽  
Author(s):  
A. L. Gemmell ◽  
R. M. Barciela ◽  
J. D. Blower ◽  
K. Haines ◽  
Q. Harpham ◽  
...  
Keyword(s):  
International Standards ◽  
Distributed Model ◽  
Model Data ◽  
Web Portal ◽  
Web Map ◽  
In Situ Data ◽  
File Formats ◽  
Open Geospatial Consortium ◽  
Map Service

Abstract. As part of a large European coastal operational oceanography project (ECOOP), we have developed a web portal for the display and comparison of model and in situ marine data. The distributed model and in situ datasets are accessed via an Open Geospatial Consortium Web Map Service (WMS) and Web Feature Service (WFS) respectively. These services were developed independently and readily integrated for the purposes of the ECOOP project, illustrating the ease of interoperability resulting from adherence to international standards. The key feature of the portal is the ability to display co-plotted timeseries of the in situ and model data and the quantification of misfits between the two. By using standards-based web technology we allow the user to quickly and easily explore over twenty model data feeds and compare these with dozens of in situ data feeds without being concerned with the low level details of differing file formats or the physical location of the data. Scientific and operational benefits to this work include model validation, quality control of observations, data assimilation and decision support in near real time. In these areas it is essential to be able to bring different data streams together from often disparate locations.

scholarly journals Comparing Multiple Precipitation Products against In-Situ Observations over Different Climate Regions of Pakistan

2019 ◽  
Vol 11 (6) ◽  
pp. 628 ◽  
Author(s):  
Waheed Ullah ◽  
Guojie Wang ◽  
Gohar Ali ◽  
Daniel Tawia Hagan ◽  
Asher Bhatti ◽  
...  
Keyword(s):  
Primary Source ◽  
Tropical Rainfall Measuring Mission ◽  
Reanalysis Data ◽  
Climate Data ◽  
Satellite Precipitation ◽  
In Situ Data ◽  
The North ◽  
Precipitation Seasonality ◽  
In Situ Observations

Various state-of-the-art gridded satellite precipitation products (GPPs) have been derived from remote sensing and reanalysis data and are widely used in hydrological studies. An assessment of these GPPs against in-situ observations is necessary to determine their respective strengths and uncertainties. GPPs developed from satellite observations as a primary source were compared to in-situ observations, namely the Climate Hazard group Infrared Precipitation with Stations (CHIRPS), Multi-Source Weighted-Ensemble Precipitation (MSWEP), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) and Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA). These products were compared to in-situ data from 51 stations, spanning 1998–2016, across Pakistan on daily, monthly, annual and interannual time scales. Spatiotemporal climatology was well captured by all products, with more precipitation in the north eastern parts during the monsoon months and vice-versa. Daily precipitation with amount larger than 10 mm showed significant (95%, Kolmogorov-Smirnov test) agreement with the in-situ data, especially TMPA, followed by CHIRPS and MSWEP. At monthly scales, there were significant correlations (R) between the GPPs and in-situ records, suggesting similar dynamics; however, statistical metrics suggested that the performance of these products varies from north towards south. Temporal agreement on an interannual scale was higher in the central and southern parts which followed precipitation seasonality. TMPA performed the best, followed in order by CHIRPS, MSWEP and PERSIANN-CDR.

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