CONTROL SYSTEM FOR REMOTE SUBSEA COMPLETIONS

1991 ◽  
Vol 31 (1) ◽  
pp. 396
Author(s):  
W.C. Henry

The Seahorse and Tarwhine subsea completions are among a number of recent developments in Bass Strait designed to exploit relatively small and remote fields. Both wells have been developed by re-entering and completing the original exploration wells and tying them back to the nearest existing platform, Barracouta, with an insulated production flowline, a gas lift supply line, and an electrohydraulic control umbilical. Seahorse is a little over 11 km north, and Tarwhine almost 18 km south-west of Barracouta, and it is these long offset distances which significantly influenced the decision to adopt an electrohydraulic control system. The advantages of an electrohydraulic system in this application, compared to the other control techniques available, are that it provides a faster response time to surface initiated commands, it has an overall lower cost, and it provides information back to the surface about conditions at the subsea well.Many of the components used in the subsea production control system are innovative and highly specialised, for example, the conductive electrical couplers and the temperature transducers. A significant amount of the equipment also has its origins in the aerospace industry and, like in that industry, demands a high commitment to quality assurance and quality control throughout the manufacturing and assembly phases of the project. Seahorse and Tarwhine have now been producing successfully since September and May 1990, respectively. The success of this project gives the joint venture partners, Esso and BHPP, confidence to use subsea technology to continue developing smaller fields, particularly as developments move into deeper water approaching and beyond the edge of the continental shelf.

1996 ◽  
Author(s):  
R.M. Pricharct ◽  
K.P. DeJohn ◽  
P. Farrell ◽  
C. Baggs ◽  
D. Harris

Author(s):  
R.I. Fatkhutdinov ◽  
◽  

One of the main causes of accidents at hazardous production facilities of oil and gas production is the inefficient work of production control over compliance with industrial safety requirements. At present there are no criteria for its assessment in the Russian legislation. It is established in the study that that production control in the industrial safety management system performs the role of «control» in accordance with the Shewhart-Deming cycle PDCA, and its main function is to work with nonconformities. In connection with the above, it is proposed to approach production control not only from the point of view of the process, but also from the system approach. To assess the system functioning, the criteria of «effectiveness», «efficiency», «integral indicator» are considered. It is established that from the point of view of proactivity in achieving the goals of production control, the most preferable is the assessment of the integral indicator of the production control system functioning. The considered existing and possible approaches to the assessment of the production control system and the statistical processing of the results of the expert assessment of nineteen parameters confirmed the need for a systematic approach. Based on this, the hypothesis of the production control system functioning is proposed and statistically substantiated, and four main parameters for calculating the integral indicator of the production control system functioning are considered. The built mathematical model based on the fuzzy logic clearly demonstrates the dependence of the integral indicator of the production control system functioning on the considered input parameters. The proposed proactive approach to the assessment of the production control system through nonconformity management is universal and applicable to the «control» function of any control system. It can also be used in the work of Rostechnadzor and be an incentive for enterprises to improve the quality, efficiency, and effectiveness of the production control system.


2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Qiankai Qing ◽  
Wen Shi ◽  
Hai Li ◽  
Yuan Shao

This study investigates the dynamic performance and optimization of a typical discrete production control system under supply disruption and demand uncertainty. Two different types of uncertain demands, disrupted demand with a step change in demand and random demand, are considered. We find that, under demand disruption, the system’s dynamic performance indicators (the peak values of the order rate, production completion rate, and inventory) increase with the duration of supply disruption; however, they increase and decrease sequentially with the supply disruption start time. This change tendency differs from the finding that each kind of peak is independent of the supply disruption start time under no demand disruption. We also find that, under random demand, the dynamic performance indicators (Bullwhip and variance amplification of inventory relative to demand) increase with the disruption duration, but they have a decreasing tendency as demand variance increases. In order to design an adaptive system, we propose a genetic algorithm that minimizes the respective objective function on the system’s dynamic performance indicators via choosing appropriate system parameters. It is shown that the optimal parameter choices relate closely to the supply disruption start time and duration under disrupted demand and to the supply disruption duration under random demand.


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