Metocean Design Criteria for Deep Water Offshore Systems

2015 ◽  
Author(s):  
Michele Drago ◽  
Matteo Mattioli ◽  
Federico Quondamatteo
Keyword(s):  
Multivariate Analysis ◽  
Water Column ◽  
Production Systems ◽  
Wind Waves ◽  
Practical Case ◽  
Current Profile ◽  
Design Data ◽  
Deep Waters ◽  
Surface Development

In the last decades the off-shore hydrocarbon extraction industry has extended its field of activities in very deep waters up to more than 2000 m. Extraction and production systems can vary between complete subsea development with export pipelines to on-shore treatment plants and surface development by means of surface units (SSFU) connected to subsea wells by risers and anchored by mooring systems which extend through the whole water column. For exclusively subsea developments, including sealines, the metocean design data and criteria to be developed and the applicable methodologies to derive them are well established. Univariate theory is usually applied in order to quantify the risk of failure due to (extreme) sea conditions. The surface developments and the connections through the water column (e.g. risers, moorings) are newly challenging aspects. They could suffer from severe damages due to the occurrence of critical combinations of different variables during a single sea storm:: thus, it may be important to consider the joint occurrence of different forcing conditions (i.e. multivariate analysis). The present manuscript provides a simplified methodology in order to carry out a sensible multivariate analysis of the contemporary data such as wind, waves and current. Three different cases are analyzed: i) the correlation of extremes of different variables (wind, wave and current), ii) the extreme profiles of current and iii) the current profile climate. A practical case study is illustrated throughout the paper.

Capability-Based Adaptation of Production Systems - Practical Case Study in TUT-Microfactory Environment

2013 ◽  
Vol 572 ◽  
pp. 245-248
Author(s):  
Eeva Järvenpää ◽  
Minna Lanz ◽  
Reijo Tuokko
Keyword(s):  
Production Systems ◽  
Adaptation Planning ◽  
Practical Case ◽  
Formal Models ◽  
Needed Information

Today’s production systems need to adapt rapidly to changing product requirements. Adaptation can be eased by formal models, representing product requirements and system capabilities, which convey the needed information for adaptation planning activities. This paper presents an adaptation approach, which is based on matching the product requirements to the resource capabilities, and applies it to a practical case study in TUT-microfactory environment.

scholarly journals Multivariate analysis of extreme storm surges in a semi-enclosed bay

2017 ◽  
Author(s):  
Yao Luo ◽  
Hui Shi ◽  
Dongxiao Wang
Keyword(s):  
Multivariate Analysis ◽  
Storm Surges ◽  
Multidimensional Data ◽  
Practical Case ◽  
Analysis Method ◽  
Extreme Storm ◽  
Practical Guidelines ◽  
Enclosed Bay ◽  
Joint Probabilities

Abstract. The prediction of extreme storm surges is a critical task for coastal area protection. This study examines extreme storm surges in Beibu Bay, a semi-enclosed bay in the South China Sea, and their joint probabilities. A method for the advanced prediction of the extreme storm surges is proposed using a multivariate extreme statistical method. We further present practical guidelines of the proposed multivariate analysis method, including guidelines for simulation. The simulation can be extended to multidimensional data to simplify computation, so the proposed approach can be extended to use more points' data from the semi-enclosed bay for predicting extreme storm surges probabilities. A practical case study illustrates the application of the proposed techniques for extreme storm surges prediction. A comparison of the conditional probabilities obtained from observations and simulation data show that the proposed method is effective.

Deep Water Current Observations in Lankahuasa Area in the Mexican Gulf of Mexico

2006 ◽  
Author(s):  
C. Garcia Govea ◽  
Juan Jose´ Corte´s Romero ◽  
O. Valle Molina
Keyword(s):  
Water Column ◽  
Deep Water ◽  
Oil Industry ◽  
Water Current ◽  
Current Profile ◽  
The North ◽  
Deep Waters ◽  
Offshore Industry ◽  
Near Future ◽  
Water Depths

In preparation for the near future deep-water exploitation in the Mexican oil industry, the Mexican Petroleum Institute and Pemex carried out the first oceanographic sub-surface mooring installation in deep waters, in Lankahuasa area in 1500 m water depth. The aim of this project is to supply the necessary water column information for planning, installation, development and production activities for the Mexican offshore industry. Parameters measured include, current velocities, current direction, internal waves as well as traditional water quality measurements. Profiles of conductivity, temperature and Depth (CTD) from 100 m up to 2,500 m water depths were obtained from cruises where samples were taken over a wide area during January and February 2005. Salinity and density are calculated from CTD data. Oceanographical parameters were measured by 3 ADCP (Acoustic Doppler Current Profile) and by 2 current meters in the entire water column. The oceanographic situation during the deployment was characterized by the presence of an anticyclonic (clockwise rotating) eddy and a cyclonic one in the area, located to the north of 21° N. Both eddies were slowly propagating in a general southward direction.

Optimization of Mooring Systems for Floating Offshore Platforms Considering Seabed Obstacles

2017 ◽  
Author(s):  
Bruno da Fonseca Monteiro ◽  
Carl Horst Albrecht ◽  
Beatriz Souza L. Pires de Lima ◽  
Breno Pinheiro Jacob
Keyword(s):  
Production Systems ◽  
Element Model ◽  
Optimization Methods ◽  
Offshore Platforms ◽  
Mooring Lines ◽  
Oil Reserves ◽  
Offshore Production ◽  
Deep Waters ◽  
Candidate Solution

With the constant increase of known oil reserves in deep and ultra-deep waters, floating production systems (FPS) have been established as the main option for offshore production activities. This work presents recent advances regarding an innovative application of evolutionary optimization methods to the design of mooring systems for FPS. Here the focus in in the consideration of actual scenarios with seabed obstacles and other restricted areas where anchors cannot be positioned. The optimization tool employs the Particle Swarm Optimization (PSO) method. The constraints are treated by specialized constraint-handling techniques, and each candidate solution is evaluated through nonlinear analyses coupling the hydrodynamic model of the platform hull with a Finite Element model of the mooring lines and risers. A case study illustrates the application of the optimization for a real-world scenario.

The impact of business tourism clustering on the regional economy's development: A Greater Moscow case study

2020 ◽  
Vol 18 (7) ◽  
pp. 1397-1414
Author(s):  
K.S. Golondarev
Keyword(s):  
Multivariate Analysis ◽  
The State ◽  
Investment Climate ◽  
Private Investors ◽  
The Impact

Subject. This article explores the issues of business tourism clustering in Greater Moscow. Objectives. The article intends to justify the need to create a business tourism cluster in Greater Moscow to improve the investment climate in the region. Methods. For the study, I used a multivariate analysis, forecasting, and extrapolation. Results. The article shows a certain relationship between the efficient functioning of the business tourism cluster and the economy's development. Conclusions and Relevance. Certain types of tourist clusters can serve as platforms for attracting investors and implementing marketing plans. The business tourism cluster is a link between buyers and sellers in various industries. The results of the study can be used to improve the effectiveness of the cluster initiative in business tourism, as well as find ways of cooperation between the State and private investors when creating the business tourism cluster in Greater Moscow.

Management of Records in Adapted Buildings as Records Centres in Zimbabwe

Mousaion ◽  
2018 ◽  
Vol 35 (3) ◽  
Author(s):  
Samson Mutsagondo ◽  
Getrude Maduyu ◽  
Godfrey Tsvuura
Keyword(s):  
Qualitative Research ◽  
Case Study Research ◽  
Research Approach ◽  
Records Management ◽  
Personal Observation ◽  
Structured Interviews ◽  
Design Data ◽  
Professional Management ◽  
The Government

This paper discusses the challenges of records management that arise from the use of adapted buildings as records centres in Zimbabwe, despite the advantages of using such buildings. A qualitative research approach was used as well as a case study research design. Data were collected from seven officers of the Gweru Records Centre through semi-structured interviews. Personal observation was used to triangulate findings from interviews. It was found that the use of adapted buildings as records centres was a cheaper and quicker way of establishing records centres throughout the country. However, a number of preservation, security and management challenges cropped up as the conditions of the buildings and the environment of the adapted buildings were not conducive to the proper and professional management of records. This study is important in that it explores the prospects and challenges of using adapted buildings as records centres in Zimbabwe, an area that has not been researched by many authors. This provokes archival authorities and the government to seriously consider establishing purpose-built records and archival centres.

Algorithm of combining chromatography mass spectrometry-untargeted profiling and multivariate analysis for identification of marker-substances in samples of complex composition

2020 ◽  
Vol 86 (7) ◽  
pp. 12-19
Author(s):  
I. V. Plyushchenko ◽  
D. G. Shakhmatov ◽  
I. A. Rodin
Keyword(s):  
Mass Spectrometry ◽  
Multivariate Analysis ◽  
Large Scale ◽  
Complex Composition ◽  
Unified Protocol ◽  
Chromatography Mass Spectrometry ◽  
Marker Substances ◽  
Selection Testing ◽  
Untargeted Profiling

A viral development of statistical data processing, computing capabilities, chromatography-mass spectrometry, and omics technologies (technologies based on the achievements of genomics, transcriptomics, proteomics, metabolomics) in recent decades has not led to formation of a unified protocol for untargeted profiling. Systematic errors reduce the reproducibility and reliability of the obtained results, and at the same time hinder consolidation and analysis of data gained in large-scale multi-day experiments. We propose an algorithm for conducting omics profiling to identify potential markers in the samples of complex composition and present the case study of urine samples obtained from different clinical groups of patients. Profiling was carried out by the method of liquid chromatography mass spectrometry. The markers were selected using methods of multivariate analysis including machine learning and feature selection. Testing of the approach was performed using an independent dataset by clustering and projection on principal components.

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