Aasta Hansteen Subsea Production System for Deep Water and Harsh Environment

2019 ◽  
Author(s):  
Severin Lindseth ◽  
Elling Røsby ◽  
Brynjar Vist ◽  
Knut Axel Aarnes
Keyword(s):  
Deep Water ◽  
Production System ◽  
Harsh Environment ◽  
Subsea Production System

Risk Assessment of Subsea X-Tree System

2011 ◽  
Vol 148-149 ◽  
pp. 1000-1006 ◽  
Author(s):  
Chang Yong Wang ◽  
Hong Huan Zhang ◽  
Meng Lan Duan
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Reliability Analysis ◽  
Deep Water ◽  
Production System ◽  
Oil And Gas ◽  
Oil And Gas Exploration ◽  
Analysis Process ◽  
Subsea Production System ◽  
Exploration And Development

That the oil and gas exploration and development is extending into deep water proceeds the rapidly shift to subsea production system. However, complex subsea equipment and frequency offshore accidents aroused the concern on the risk assessment of subsea system. The paper illustrates the hazard aspects which should be focused on in the subsea equipment compared with the surface equipment. The hazards identification and risk analysis on subsea X-tree system is carried out. A general risk-prevent process of subsea X-tree system is illustrated, so does the reliability analysis process. Besides, some commendations on subsea detection and maintenance are presented in the paper.

Test Installation Of Subsea Production System And Flowlines In Deep Water

1983 ◽  
Author(s):  
T. Madsen ◽  
S. Andersen ◽  
L. Vetaas
Keyword(s):  
Deep Water ◽  
Production System ◽  
Test Installation ◽  
Subsea Production System

The Research on the Factory Accept Test Technology of Subsea PLET

2014 ◽  
Vol 986-987 ◽  
pp. 1619-1623
Author(s):  
Xiao Lei Zhao ◽  
Le Ping Chu ◽  
Xing Wei Guo ◽  
Guo He Yu ◽  
Jin Yu Chen
Keyword(s):  
Deep Water ◽  
Production System ◽  
Oil And Gas ◽  
Development Mode ◽  
Gas Field ◽  
Oil And Gas Field ◽  
Subsea Production System ◽  
Offshore Oil And Gas ◽  
Embedded Type ◽  
Offshore Oil

With the development of offshore oil and gas field enters into deep water constantly, subsea production system has become the main development mode in deep water development. Pipeline End Termination (PLET) is common facilities in subsea production system and is used to provide subsea tieback interface. An embedded type PLET has been adopted in Panyu 35-1/35-2 Gas field with the water depth of 194 to 338 m. Factory Accept Test (FAT) is very important for the subsea production facilities, and the references is very limited due to technical security. This paper in detail states the flow chart, master equipment, purpose and precautions for each test of FAT for PLET, which collects great technology for the development of subsea production system.

The Study on the SIT Technology of Subsea ILM

2014 ◽  
Vol 986-987 ◽  
pp. 975-979
Author(s):  
Xiao Lei Zhao ◽  
Zhi Xing Wu ◽  
Le Ping Chu ◽  
Xing Wei Guo ◽  
Jin Yu Chen
Keyword(s):  
Deep Water ◽  
Production System ◽  
System Integration ◽  
Oil And Gas ◽  
Depth Range ◽  
Development Mode ◽  
Gas Field ◽  
Integration Test ◽  
Oil And Gas Field ◽  
Subsea Production System

With the development of offshore oil and gas field enters into deep water constantly, subsea production system has become the main development mode in deep water development. Subsea Inline manifold (ILM) is common facilities in subsea production system and is used to gather oil and gas from the side subsea wells. Two subsea ILMs has been adopted in Panyu 35-1/35-2 Gas field with water depth range from 194 to 338 m in South China Sea. System integration test (SIT) is very important for the subsea production facilities. This paper states the flow chart, master equipment, purpose and precautions for each test of ILM SIT, which collects great technology for the development of subsea production system.

scholarly journals Development of next generation subsea production system (NextGen SPS) design and analysis for ultra-deepwater applications

2020 ◽  
Vol 37 (3) ◽  
pp. 111-117
Author(s):  
Xing-wei Zhen ◽  
Yue Han ◽  
Qiu-yang Duan ◽  
Jia-hao Wu ◽  
Yi Huang
Keyword(s):  
Optimal Design ◽  
Deep Water ◽  
Production System ◽  
Next Generation ◽  
Field Development ◽  
Subsea Production System ◽  
Offshore Field ◽  
Commercial Performance

The present paper describes a new offshore field development solution, Next Generation Subsea Production System (NextGen SPS), that aims to overcome the technical and commercial limitations of the current offshore field development concepts (dry tree or subsea tree) in ultra-deep water (more than 1500 m). The key developments of the NextGen SPS, including its main characteristics, stability characteristics and optimal design on the riser system, are presented and discussed. The series of studies demonstrates that the NextGen SPS offers improved technical and commercial performance, higher levels of safety, reduced interface complexity and improved development flexibility for field development in ultra-deep water.

Risk Assessment and Reliability Analysis of Subsea Production Systems

2020 ◽  
Author(s):  
Liaqat Ali ◽  
Shan Jin ◽  
Yong Bai
Keyword(s):  
Risk Assessment ◽  
Reliability Analysis ◽  
Deep Water ◽  
Production System ◽  
Evaluation Method ◽  
Oil And Gas ◽  
Production Systems ◽  
Risk Identification ◽  
Subsea Production System ◽  
The Impact

Abstract In past years, offshore oil and gas accidents have often occurred. Environmental hazards have the capability of turning into very difficult to manage in addition with the modern technology limits and lack of a fail-safe operation that can identify, control and terminate the accidents. However, the offshore crude oil also natural gas search and development is expanding to deep-water and moving promptly to the subsea production systems. (SPS). Though, the complicate subsea equipment material besides frequency offshore disasters stimulated the consideration onto the risk analysis of subsea systems. Detection of the impact of deep-water oil and gas reserves in the subsea production system. However, loss of SPSs can contribute to massive industrial failure, severe natural pollution, and indeed serious disasters. Therefore, the reliability analysis and safety of SPS have turned into a dominant consideration. This study addresses on the hazards and risk conditions which must be concentrated in the subsea machinery associated within surface equipments. Furthermore, the risks identification also the risk investigation onto subsea “Xmas tree” system is brought out. An over-all risk avert procedure of subsea “Xmas tree” system is represented, also the reliability evaluation method. Moreover, several recommendations on subsea production maintenance and detection are given in this research. This paper is reviewing the following section, subsea production system, hazards or risk identification, environmental issues, hydrate problems, corrosion problems, safety issues, risk assessment on subsea “Xmas tree”, reliability issues of a subsea system.

A new optimization algorithm for the layout design of a subsea production system

2021 ◽  
pp. 109072
Author(s):  
Yi Wang ◽  
Qi Wang ◽  
Aixia Zhang ◽  
Weiwei Qiu ◽  
Menglan Duan ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Production System ◽  
Layout Design ◽  
Subsea Production System

Troika Subsea Production System - An Overview

1998 ◽  
Author(s):  
J.M. Bednar
Keyword(s):  
Production System ◽  
Subsea Production System

Proxy Model for Real-Time Estimation of Cool Down Time of Subsea Production System to Prevent Hydrates Formation

2021 ◽  
Author(s):  
Joseph Rizzo Cascio ◽  
Antonio Da Silva ◽  
Martino Ghetti ◽  
Martino Corti ◽  
Marco Montini
Keyword(s):  
Real Time ◽  
Production System ◽  
Field Data ◽  
Oil And Gas ◽  
Time Estimation ◽  
Integrated Approach ◽  
Proxy Model ◽  
Real Time Estimation ◽  
Subsea Production System ◽  
Formation Of Hydrates

Abstract Objectives/Scope The benefits of real-time estimation of the cool down time of Subsea Production System (SPS) to prevent formation of hydrates are shown on a real oil and gas facility. The innovative tool developed is based on an integrated approach, which embeds a proxy model of SPS and hydrate curves, exploiting real-time field data from the Eni Digital Oil Field (eDOF, an OSIsoft PI based application developed and managed by Eni) to continuously estimate the cool down time before hydrates are formed during the shutdown. Methods, Procedures, Process The Asset value optimization and the Asset integrity of hydrocarbon production systems are complex and multi-disciplinary tasks in the oil and gas industry, due to the high number of variables and their synergy. An accurate physical model of SPS is built and, then, used to develop a proxy model, which integrates hydrate curves at different MeOH concentration, being able to estimate in real time the cool down time of SPS during the shutdown exploiting data from subsea transmitters made available by eDOF in order to prevent formation of hydrates. The tool is also integrated with a user-friendly interface, making all relevant information readily available to the operators on field. Results, Observations, Conclusions The integrated approach provides a continues estimation of cool down time based on real time field data (eDOF) in order to prevent formation of hydrates and activate preservation actions. An accurate physical model of SPS is built on a real business case using Olga software and cool down curves simulated considering different operating shutdown scenarios. Hydrate curves of the considered production fluid are also simulated at different MeOH concentration using PVTsim NOVA software. Off-line simulated curves are then implemented as numerical tables combined with eDOF data by an Eni developed fast executing proxy model to produce estimated cool down time before hydrates are formed. A graphic representation of SPS behavior and its cool down time estimation during shutdown are displayed and ready to use by the operators on field in support of the operations, saving cost and time. Novel/Additive Information The benefits of real time estimation of the cool down time of SPS to prevent hydrates formation are shown in terms of saving of time and cost during the shutdown operations on a real case application. This integrated approach allows to rely on a continue, automatic and acceptably accurate estimate of the available time before hydrates are formed in SPS, including the possibility to be further developed for cases where subsea transmitters are not available or extended to other flow assurance issues.

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