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Blowout Preventers

The Experts below are selected from a list of 111 Experts worldwide ranked by ideXlab platform

Shilin Yu – 1st expert on this subject based on the ideXlab platform

  • dynamic bayesian networks based performance evaluation of subsea Blowout Preventers in presence of imperfect repair
    Expert Systems With Applications, 2013
    Co-Authors: Yunwei Zhang, Shilin Yu

    Abstract:

    Abstract This paper presents a quantitative reliability and availability evaluation method for subsea Blowout preventer (BOP) system by translating fault tree (FT) into dynamic Bayesian networks (DBN) directly, taking account of imperfect repair. The FTs of series system and parallel system are translated into Bayesian networks, and extended to DBN subsequently. The multi-state degraded system is used to model the imperfect repair in the DBN. Using the proposed method, the DBN of subsea BOP system is established. The reliability and availability with respect to perfect repair and imperfect repair are evaluated. The mutual information is researched in order to assess the important degree of basic events. The effects of degradation probability on the performances are studied. The results show that the perfect and imperfect repairs can improve the performances of series, parallel and subsea BOP systems significantly, whereas the imperfect repair cannot degrade the performances significantly in comparison with the perfect repair. To improve the performances of subsea BOP system, eight basic events, involving LWHCO, LLPR, LCC, LLICV, SLPSV, LRPIL, PIHF and SVLPLE should given more attention, and the degradation probability of basic events, especially the ones with high sensitive to system failure, should be reduced as much as possible.

Gangbing Song – 2nd expert on this subject based on the ideXlab platform

  • Shape memory alloy actuated accumulator for ultra-deepwater oil and gas exploration
    Smart Materials and Structures, 2016
    Co-Authors: Devendra Patil, Gangbing Song

    Abstract:

    As offshore oil and gas exploration moves further offshore and into deeper waters to reach hydrocarbon reserves, it is becoming essential for the industry to develop more reliable and efficient hydraulic accumulators to supply pressured hydraulic fluid for various control and actuation operations, such as closing rams of Blowout Preventers and controlling subsea valves on the seafloor. By utilizing the shape memory effect property of nitinol, which is a type of shape memory alloy (SMA), an innovative SMA actuated hydraulic accumulator prototype has been developed and successfully tested at Smart Materials and Structure Laboratory at the University of Houston. Absence of gas in the developed SMA accumulator prototype makes it immune to hydrostatic head loss caused by water depth and thus reduces the number of accumulators required in deep water operations. Experiments with a feedback control have demonstrated that the proposed SMA actuated accumulator can provide precisely regulated pressurized fluids. Furthermore the potential use of ultracapacitors along with an embedded system to control the electric power supplied to SMA allows this accumulator to be an autonomous device for deployment. The developed SMA accumulator will make deepwater oil extraction systems more compact and cost effective.

  • PWM Control of SMA Actuated Blowout Preventer Using PLC
    Earth & Space 2008, 2008
    Co-Authors: Hong Chen, Ning Ma, Robello Samuel, Christine Ehlig-economides, Zipping Hu, Gangbing Song

    Abstract:

    Conventionally, hydraulic actuators are used in Blowout Preventers (BOP) to regain well pressure control in oil/gas drilling or production. As drilling moves to deeper and deeper undersea, the hydraulic actuators are not able to meet the API mandates in response time. An innovation of BOP’s actuators was proposed to use the shape memory alloy (SMA) recently. This paper presents design and implementation of the Pulse Width Modulation (PWM) regulated Proportional-Derivative (PD) control using a Programmable Logic Controller (PLC) for the SMA actuators used in BOP. The SMA actuator holds a few outstanding features compared to its conventional counterparts, and thus has been used in a variety of applications. On the other hand, SMA is nonlinear, and a sophisticated controller is required to ensure its stability and robustness. In the paper, after a short review of the prototype of the SMA actuated BOP, the design and implementation of the PWM PD controller is presented, followed by the testing results of position control of SMA actuated BOP.

  • Design and Performance Evaluation of an Ultradeepwater Subsea BlowoutPreventer Control System Using Shape Memory Alloy Actuators
    , 2007
    Co-Authors: Ning Ma, Gangbing Song, Christine Ehlig-economides, Ziping Hu, Robello Samuel

    Abstract:

    As drilling moves to ultradeepwater, conventional Blowout Preventers (BOP) actuation technologies based on full or partial hydraulics are unable to meet the API standard for control system response times because of long hydraulic fluid communication path between an offshore platform and a BOP stack on the sea floor. Now that an ultradeepwater subsea Blowout preventer (SSBOP) control system using shape memory alloy actuators has been demonstrated in the laboratory, several practical issues can be addressed. The experimental device uses nitinol smart alloy material (SMA). It can be actuated by electrical heating, thereby replacing hydraulic actuation and hydraulic lines with electric cables. Alternatively, the SMA actuator system can be activated by chemical heating. With significantly fewer components, the SMA system will dramatically reduce total cost and will increase operation reliability. The new device can easily be retrofitted to existing conventional subsea control system thus enabling other methods to be used as a backup. Most importantly, the innovative all-electric BOP will provide a much faster response than its hydraulic counterpart and will improve safety for subsea drilling. The BOP actuator uses strands of SMA wires to achieve large force and large displacement in a remarkably small space. Experimental results demonstrate that the BOP can be activated and fully closed in less than 15 seconds. This paper considers chemical and thermal energy sources as alternatives to electricity and ways to trigger an automatic mechanism. Additionally, a model is used to calculate the SMA length and diameter that will be required to provide sufficient force for different types and diameters of BOP rams (blind, pipe, or shear) or the annular BOP, and the energy requirements in each case. The model also addresses the range of pressures and temperatures that can be handled. Simple guidelines are presented along with practical field examples for different types of BOP hook ups. Copyright 2006, Society of Petroleum Engineers.

Yunwei Zhang – 3rd expert on this subject based on the ideXlab platform

  • dynamic bayesian networks based performance evaluation of subsea Blowout Preventers in presence of imperfect repair
    Expert Systems With Applications, 2013
    Co-Authors: Yunwei Zhang, Shilin Yu

    Abstract:

    Abstract This paper presents a quantitative reliability and availability evaluation method for subsea Blowout preventer (BOP) system by translating fault tree (FT) into dynamic Bayesian networks (DBN) directly, taking account of imperfect repair. The FTs of series system and parallel system are translated into Bayesian networks, and extended to DBN subsequently. The multi-state degraded system is used to model the imperfect repair in the DBN. Using the proposed method, the DBN of subsea BOP system is established. The reliability and availability with respect to perfect repair and imperfect repair are evaluated. The mutual information is researched in order to assess the important degree of basic events. The effects of degradation probability on the performances are studied. The results show that the perfect and imperfect repairs can improve the performances of series, parallel and subsea BOP systems significantly, whereas the imperfect repair cannot degrade the performances significantly in comparison with the perfect repair. To improve the performances of subsea BOP system, eight basic events, involving LWHCO, LLPR, LCC, LLICV, SLPSV, LRPIL, PIHF and SVLPLE should given more attention, and the degradation probability of basic events, especially the ones with high sensitive to system failure, should be reduced as much as possible.

  • application of bayesian networks to reliability evaluation of software system for subsea Blowout Preventers
    , 2013
    Co-Authors: Yunwei Zhang

    Abstract:

    The work develops a redundant software system for subsea Blowout Preventers, including control logics, human-machine interface (HMI) programs, remote access and redundant databases in order to meet the high reliability requirement of subsea drilling. The Bayesian networks (BN) for control logics, HMI programs and redundant databases are built and then the whole BN are established. The quantitative reliability evaluation is performed by using Netica software. The probability of software failure is evaluated via forward analysis, and the posterior probability given the failure is evaluated via backward analysis. The mutual information is researched in order to assess the important degree of basic events. The results show that the probability of software failure is 0.04%, which can meet the requirement of subsea drilling. The triple common cause failure should be paid more attention in order to improve the software performance. In addition, the control logics have the most important influences on software safety; the HMI programs have the least important influences; and the redundant databases are in between.