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The logistics of autonomous shipping and the AEGIS project 自主航运的物流和宙斯盾项目
Pub Date : 2023-03-07 DOI: 10.5957/some-2023-013
H. Psaraftis, T. Zis, M. R. Vilanova
The European Union (EU) transport policy recognizes the importance of the waterborne transport systems as key elements for sustainable growth in Europe. By 2030, 30 % of total road freight over 300 km should shift to rail or waterborne transport, and more than 50 % by 2050. Thus far, this ambition has failed. Horizon 2020 project AEGIS (for Advanced, Efficient and Green Intermodal Systems) proposes a new waterborne transport system for Europe that is green, robust, flexible, more automated and autonomous, and able to connect both rural and urban terminals. The purpose of this paper is to describe work and preliminary results from this project. To that effect, and in order to assess any solutions contemplated in AEGIS, a comprehensive set of Key Performance Indicators (KPIs) have been defined, and three specific use cases within in Europe are defined and evaluated according to these KPIs. KPIs represent the criteria under which the set of solutions developed under AEGIS are evaluated, and also compared to non-AEGIS solutions. They are grouped under economic, environmental and social KPIs. KPIs have been selected after a consultation process involving AEGIS partners and external Advisory Group members.
欧洲联盟(欧盟)的运输政策认识到水运系统作为欧洲可持续增长的关键要素的重要性。到2030年,超过300公里的公路货运总量的30%将转向铁路或水路运输,到2050年,这一比例将超过50%。到目前为止,这一雄心壮志失败了。地平线2020项目AEGIS(先进、高效和绿色多式联运系统)为欧洲提出了一种新的水上运输系统,该系统绿色、稳健、灵活、更加自动化和自主,能够连接农村和城市码头。本文的目的是描述这个项目的工作和初步结果。为此,为了评估AEGIS中考虑的任何解决方案,定义了一套全面的关键绩效指标(kpi),并根据这些kpi定义和评估了欧洲的三个特定用例。kpi代表了在AEGIS下开发的解决方案集被评估的标准,并与非AEGIS解决方案进行比较。它们按经济、环境和社会kpi进行分组。关键绩效指标是在AEGIS合作伙伴和外部咨询小组成员参与的协商过程之后选定的。
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引用次数: 1
Towards the Correct Interpretation of Real-Time Signals on the Well-Site 井场实时信号的正确解释
Pub Date : 2023-03-07 DOI: 10.2118/212509-ms
B. Daireaux, H. Brackel, Robert Ewald, Petter Markussen, Maria Johansen, M. Parak, Ghanshyam Yadav, Anar Ismayilov
Drilling operations rely on the collaboration of many participants, and the efficiency of this collaboration depends on timely exchange of information. The complexity and variability of this information make it difficult to achieve interoperability between the involved systems. Recent industry efforts aim at facilitating the many aspects of interoperability. A central element is semantic interoperability: the ability to correctly interpret the real-time signals available on the rig. This contribution presents an implementation of semantic interoperability using OPC UA technology. It translates the principles developed through joint industry efforts into actual drilling operations. The process used the steps of characterizing the drilling real-time data with semantic graphs, and then developing methods to transfer this characterization to an operational real-time environment. A semantic interoperability API (application programming interface) uses the semantic modelling capabilities of OPC UA. Its objectives are to facilitate the acquisition and identification of real-time signals (for data consumers) and their precise description (by data providers). The different components of the API reflect the diversity of scenarios one can expect to encounter on a rig: from WITS-like data streams with minimal semantics to fully characterized signals. The high-level interface makes use of semantical techniques, such as reasoning, to enable advanced features like validation or graph queries. The implementation phase resulted in a series of open-source solutions that cover all the stages of semantic interoperability. The server part integrates real-time sources and exposes their semantics. Data providers can use dedicated applications to accurately describe their own data, while data consumers have access to both predefined mechanisms and to more advanced programming interfaces to identify and interpret the available signals. To facilitate the adoption of this technology, test applications are available that allow interested users to experiment and validate their own interfaces against realistic drilling data. Finally, demonstrations involving several participants took place. The paper discusses both the testing procedures, the results and insights gained. The solutions described in this contribution build on newly developed interoperability strategies: they make on-going industry efforts available to the community via modern technologies, such as OPC UA, semantic modelling, or reasoning. Our hope is that the adoption of the developed technology should greatly facilitate the deployment of next generation drilling automation systems.
钻井作业依赖于许多参与者的协作,而这种协作的效率取决于及时交换信息。这些信息的复杂性和可变性使得在涉及的系统之间实现互操作性变得困难。最近业界的努力旨在促进互操作性的许多方面。一个核心要素是语义互操作性:正确解释钻机上可用的实时信号的能力。本文提出了一种使用OPC UA技术实现语义互操作性的方法。它将通过行业共同努力制定的原则转化为实际钻井作业。该过程使用语义图描述钻井实时数据的特征,然后开发将这种特征转移到操作实时环境的方法。语义互操作性API(应用程序编程接口)使用OPC UA的语义建模功能。其目标是促进实时信号的获取和识别(供数据消费者使用)及其精确描述(由数据提供者提供)。API的不同组件反映了人们在钻井平台上可能遇到的各种场景:从具有最小语义的类似wits的数据流到完全表征的信号。高级接口使用语义技术(如推理)来启用验证或图形查询等高级特性。实现阶段产生了一系列涵盖语义互操作性所有阶段的开源解决方案。服务器部分集成实时源并公开其语义。数据提供者可以使用专用的应用程序来准确地描述他们自己的数据,而数据消费者可以访问预定义的机制和更高级的编程接口来识别和解释可用的信号。为了促进该技术的采用,测试应用程序允许感兴趣的用户根据实际钻井数据进行实验和验证自己的界面。最后,几名参与者进行了示威。本文讨论了测试过程、结果和获得的见解。本贡献中描述的解决方案建立在新开发的互操作性策略之上:它们通过现代技术(如OPC UA、语义建模或推理)使正在进行的行业努力对社区可用。我们的希望是,采用已开发的技术将大大促进下一代钻井自动化系统的部署。
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引用次数: 0
Challenges to Taking Advantage of High Frequency Data Analytics to Address Environmental Challenges in Maritime Sector 利用高频数据分析解决海事部门环境挑战的挑战
Pub Date : 2023-03-07 DOI: 10.5957/some-2023-006
S. Katsikas, George N. Manditsios, Fotis N. Dalmiras, G. Sakalis, George Antonopoulos, Andreas Doulgeridis, Dimitrios Mouzakis
Shipping operates in a challenging economic environment characterized among other by increasing environmental regulations aiming to contribute to the global GHG emissions reduction targets set. Smart monitoring tools are key solutions for shipping companies to adapt effectively and comply with the new environmental regulations set by local, regional, and international regulatory parties, including the International Maritime Organization (IMO) and other stakeholders. The combination of high frequency data and the employment of advanced analytical technologies offers the shipping industry a great advantage. Continuous data monitoring enables reactive energy performance improvement / optimization, while it allows building up realistic performance models that are used for optimizing the commercial management of the vessels and serve as a basis for new projects. Vessel operational profile monitoring along with voyage planning through optimized speeds and weather routing, effective monitoring of hull & propeller bio-fouling, trim optimization, assessment of innovative solutions installation (i.e., waste heat recovery systems, energy saving devices, new painting schemes, etc.) are practices widely used nowadays to address GHG emissions reduction plan and performance optimization. Current study examines the importance of vessel continuous monitoring on the evaluation of the aforementioned measures, based on established methodologies, along with the development of new algorithms and mathematical models.
航运业在一个充满挑战的经济环境中运营,其特点之一是旨在为全球温室气体减排目标做出贡献的环境法规越来越多。智能监测工具是航运公司有效适应和遵守地方、区域和国际监管方(包括国际海事组织(IMO)和其他利益相关者)制定的新环境法规的关键解决方案。高频数据和先进分析技术的结合为航运业提供了巨大的优势。持续的数据监测可以改善/优化无功能源性能,同时可以建立实际的性能模型,用于优化船舶的商业管理,并作为新项目的基础。船舶运行剖面监测以及通过优化航速和天气路线进行航行规划,有效监测船体和螺旋桨生物污染,装饰优化,评估创新解决方案安装(即废热回收系统,节能设备,新涂装方案等)是当今广泛用于解决温室气体减排计划和性能优化的实践。目前的研究基于既定的方法,以及新算法和数学模型的发展,探讨了船舶连续监测对上述措施评估的重要性。
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引用次数: 0
Microplastics and their Impact on the Marine Environment 微塑料及其对海洋环境的影响
Pub Date : 2023-03-07 DOI: 10.5957/some-2023-040
J. Kokarakis, E. J. Kokarakis, E. Ladakis, H. Petrakakos
The present study investigates the negative impact of a marine polluter on the marine environment. Plastics degraded into micro and macroplastics harm the environment in many ways. Finding their way to the oceans cause increase in temperature at the surface and cooling in deeper waters. Degrading macroplastics releases potent greenhouse gases. More importantly, they are implicated to cause climate change. Plastic in the ocean affects its ability to act as a carbon sink by decelerating the “biogeochemical cycle of carbon”. The ocean is the largest natural sink for anthropogenic greenhouse gases. Various short- and long-term measures are also proposed to curb the flow of plastic waste into the Oceans.
本研究探讨海洋污染者对海洋环境的负面影响。塑料降解成微塑料和宏观塑料在许多方面危害环境。它们进入海洋的过程会导致表层温度升高,深层水温下降。降解大塑料会释放出强效的温室气体。更重要的是,它们与气候变化有关。海洋中的塑料通过减缓“碳的生物地球化学循环”来影响其作为碳汇的能力。海洋是人为温室气体最大的天然汇。还提出了各种短期和长期措施,以遏制塑料废物流入海洋。
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引用次数: 0
Field Validation of Scalable Condition-Based Maintenance (CBM) of Mud Pumps 泥浆泵可扩展状态维护(CBM)的现场验证
Pub Date : 2023-03-07 DOI: 10.2118/212564-ms
Dongyoung Yoon, P. Ashok, E. van Oort, Pradeepkumar V. Annaiyappa, Shungo Abe
Although mud pumps are critical rig equipment, their health monitoring currently still relies on human observation. This approach often fails to detect pump damage at an early stage, resulting in non-productive time (NPT) and increased well construction cost when pumps go down unexpectedly and catastrophically. Automated approaches to condition-based maintenance (CBM) of mud pumps to date have failed due to the lack of a generalized solution applicable to any pump type and/or operating conditions. This paper presents a field-validated generally applicable solution to mud pump CBM. Field tests were conducted during drilling operations in West Texas and Japan, to verify the feasibility of the developed pump CBM solution. An accelerometer and acoustic emission (AE) sensor were attached to pump modules, and data was collected during drilling operations. Anomaly detection deep-learning (DL) models were trained during run-time to pinpoint any abnormal behavior by the pump and its elements. The models were trained only with normal state data, and a damage score characterizing the extent of damage to the mud pump was calculated to identify the earliest signs of damage. The system correctly identifies the degradation of the pump and produces alerts to notify the rig crew of the damage level of key mud pump components. During the field tests, different hyper-parameters and features were compared to identify the most effective ones for identifying damage while at the same time delivering low false positive rates (i.e., false alarms during normal state pump operation). The developed CBM system thus provides a generalized solution for pump monitoring, capable of working for different pumps and different operating conditions, and only requires several hours of normal state data with no prior pump data information. This system eliminates the environmental, health and safety (EHS) concerns that can occur during human-based observations of mud pump health, and avoids unnecessary NPT associated with catastrophic pump failures. The final version of this system is expected to be a fully self-contained magnetically attachable box containing sensors and processor, generating simple indicators for recommending pro-active pump maintenance tasks when needed. This is the first successful attempt to validate a universally applicable DL-based CBM system for mud pumps in the field. The system allows more reliable continuous and automated pump monitoring by detecting damage in real-time, thereby enabling timely and pro-active mud pump maintenance and NPT avoidance.
虽然泥浆泵是关键的钻井设备,但目前对其健康监测仍依赖于人工观察。这种方法通常无法在早期检测到泵的损坏,导致非生产时间(NPT)延长,并且在泵意外发生灾难性故障时增加了建井成本。迄今为止,由于缺乏适用于任何泵类型和/或操作条件的通用解决方案,泥浆泵基于状态维护(CBM)的自动化方法失败了。本文提出了一种经过现场验证、普遍适用的泥浆泵煤层气解决方案。在西德克萨斯和日本的钻井作业期间进行了现场测试,以验证开发的泵CBM解决方案的可行性。泵模块上安装了加速度计和声发射(AE)传感器,并在钻井过程中收集数据。在运行期间训练异常检测深度学习(DL)模型,以查明泵及其元件的任何异常行为。该模型仅使用正常状态数据进行训练,并计算表征泥浆泵损坏程度的损坏评分,以识别最早的损坏迹象。该系统可以正确识别泵的退化,并发出警报,通知钻井人员泥浆泵关键部件的损坏程度。在现场测试中,研究人员比较了不同的超参数和特征,以确定最有效的识别损坏的参数,同时提供低误报率(即泵正常运行时的误报)。因此,开发的CBM系统为泵监测提供了一种通用的解决方案,能够适用于不同的泵和不同的运行条件,并且只需要几个小时的正常状态数据,而不需要事先的泵数据信息。该系统消除了在人为观察泥浆泵健康状况时可能出现的环境、健康和安全(EHS)问题,并避免了与灾难性泵故障相关的不必要的NPT。该系统的最终版本预计将是一个完全独立的磁性附加盒,包含传感器和处理器,在需要时生成简单的指示器,以推荐主动泵维护任务。这是首次成功验证一种普遍适用于泥浆泵的基于dl的煤层气系统。该系统通过实时检测损坏情况,实现更可靠的连续、自动化泵监测,从而实现及时、主动的泥浆泵维护,避免NPT产生。
{"title":"Field Validation of Scalable Condition-Based Maintenance (CBM) of Mud Pumps","authors":"Dongyoung Yoon, P. Ashok, E. van Oort, Pradeepkumar V. Annaiyappa, Shungo Abe","doi":"10.2118/212564-ms","DOIUrl":"https://doi.org/10.2118/212564-ms","url":null,"abstract":"\u0000 Although mud pumps are critical rig equipment, their health monitoring currently still relies on human observation. This approach often fails to detect pump damage at an early stage, resulting in non-productive time (NPT) and increased well construction cost when pumps go down unexpectedly and catastrophically. Automated approaches to condition-based maintenance (CBM) of mud pumps to date have failed due to the lack of a generalized solution applicable to any pump type and/or operating conditions. This paper presents a field-validated generally applicable solution to mud pump CBM.\u0000 Field tests were conducted during drilling operations in West Texas and Japan, to verify the feasibility of the developed pump CBM solution. An accelerometer and acoustic emission (AE) sensor were attached to pump modules, and data was collected during drilling operations. Anomaly detection deep-learning (DL) models were trained during run-time to pinpoint any abnormal behavior by the pump and its elements. The models were trained only with normal state data, and a damage score characterizing the extent of damage to the mud pump was calculated to identify the earliest signs of damage.\u0000 The system correctly identifies the degradation of the pump and produces alerts to notify the rig crew of the damage level of key mud pump components. During the field tests, different hyper-parameters and features were compared to identify the most effective ones for identifying damage while at the same time delivering low false positive rates (i.e., false alarms during normal state pump operation). The developed CBM system thus provides a generalized solution for pump monitoring, capable of working for different pumps and different operating conditions, and only requires several hours of normal state data with no prior pump data information. This system eliminates the environmental, health and safety (EHS) concerns that can occur during human-based observations of mud pump health, and avoids unnecessary NPT associated with catastrophic pump failures. The final version of this system is expected to be a fully self-contained magnetically attachable box containing sensors and processor, generating simple indicators for recommending pro-active pump maintenance tasks when needed.\u0000 This is the first successful attempt to validate a universally applicable DL-based CBM system for mud pumps in the field. The system allows more reliable continuous and automated pump monitoring by detecting damage in real-time, thereby enabling timely and pro-active mud pump maintenance and NPT avoidance.","PeriodicalId":103776,"journal":{"name":"Day 2 Wed, March 08, 2023","volume":"88 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116557426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introducing Automated Advisory and Control Applications to a North Sea Jack-Up, Technology, Human-Centric Challenges and Resulting Performance Improvements at Scale 为北海自升式钻井平台引入自动化咨询和控制应用,解决了技术、以人为本的挑战,并带来了大规模的性能改进
Pub Date : 2023-03-07 DOI: 10.2118/212463-ms
M. Forshaw, S. Hovda, John Macpherson
As we begin a new decade, drilling systems automation has left its primary residence of PowerPoint slides and is now seeing wider adoption. In areas, the industry sees positive return-on-investment for automation technology development; both financially, from reduction in well construction cost, and in helping meet increasingly prominent ESG targets through emissions reduction. This paper describes a long-term case study covering the introduction of multiple automated monitoring, advisory and control systems into an already highly optimized jack-up in the North Sea. These resulted in adding incremental value, delivering a multitude of operations significantly below AFE, as well creating a trend of increasing performance spanning a full field development campaign. In addition to quantifying resulting operational cost-out, the paper addresses several points related to challenges of adoption: –Necessity for un-biased operational needs to drive technology development. The industry is often drawn to high-end solutions to complex problems when in fact there are low-hanging fruits, such as simple business-process-automation for reporting, which are highly desired by end-users.–The notion that while there is a lot of rigor in technology development processes, there is not enough focus on the critical human element of adoption. Linked to this is the common misconception that automated systems require less training, when in-fact the opposite is true.–End-user resistance on initial introduction of a black-box system for automated directional drilling. Retroactive software development moves to more grey- or white-box systems, with an associated positive response in user acceptance.–Critically of interoperability between operator, OFS and OEM systems. How this will become more important as both closed-loop control systems, and linkages to enterprise level systems, proliferate. This long-term case study definitively demonstrates that automated systems add value. However, due to the human-component, management-of-change must be carefully considered as we scale adoption.
随着我们进入新的十年,钻井系统自动化已经不再是ppt幻灯片的主要居所,而是得到了更广泛的应用。在某些领域,该行业看到了自动化技术开发的积极投资回报;在经济上,从降低建井成本,到通过减少排放帮助实现日益突出的ESG目标。本文描述了一个长期的案例研究,包括在北海高度优化的自升式平台上引入多个自动化监测、咨询和控制系统。这导致了价值的增加,提供了大量低于AFE的作业,并在整个油田开发活动中创造了提高性能的趋势。除了量化由此产生的运营成本外,本文还提出了与采用挑战相关的几点:-推动技术发展的无偏见运营需求的必要性。业界经常被复杂问题的高端解决方案所吸引,而实际上存在一些容易实现的成果,例如最终用户非常需要的用于报告的简单业务流程自动化。-尽管在技术开发过程中有很多严谨性,但对采用关键的人为因素的关注不够。与此相关的是一种常见的误解,即自动化系统需要较少的培训,而事实恰恰相反。-最初引入自动定向钻井黑匣子系统时,终端用户的阻力。追溯性软件开发转向更多的灰盒或白盒系统,在用户接受方面有相关的积极响应。-关键是运营商,OFS和OEM系统之间的互操作性。随着闭环控制系统和与企业级系统的连接的激增,这将变得更加重要。这个长期的案例研究明确地表明自动化系统增加了价值。然而,由于人的因素,在我们扩展采用时必须仔细考虑变更管理。
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引用次数: 0
Rock Mechanics Analysis of Observed Borehole Instabilities in an Ekofisk Field Extended-Reach Well Ekofisk油田大位移井观测井眼不稳定性岩石力学分析
Pub Date : 2023-03-07 DOI: 10.2118/212454-ms
Jairo Alexander Diaz Lopez, E. Omdal, James S. Rutherford, H. J. Skadsem
The drilling of extended-reach wells is an increasingly common practice for improving the recovery from mature fields, and for producing distant oil and gas resources using existing infrastructure. From a geomechanical point of view, the drilling and completion of extended-reach wells may become technically very challenging, as these wells often have long sections drilled at high inclinations that can be prone to borehole instability problems such as pack-offs or collapse of the wellbore wall. The case of an extended-reach well drilled in the Ekofisk field in the North Sea where borehole stability issues were observed and eventually resulted in the loss of the well is presented. A wellbore stability assessment is performed with well-specific stress and formation strength data that explores the possible failures that may have resulted in the loss of the well. In particular, a plane of weakness model is used to model possible shear failure along the bedding of the overburden shale formations. The uncertainty in the rock matrix strength is accounted for, as well as the cohesion, friction factor and orientation of the bedding plane, on the mud window using a Monte Carlo approach. This paper focuses in particular on how the properties of the bedding plane affect the minimum required mud weight, and compare to the actual mud weight used in operation. The generated mud window acknowledging failure along the weakness planes suggests that this type of failure was a relevant failure mechanism over the 13 1/2-in section of the well, as the mud weight employed was not high enough to avoid it. Accounting for uncertainty and the failure along the weakness planes in extended-reach wells to be drilled in the Ekofisk area may generate safer mud windows that in turn may reduce the occurrence of wellbore instability in the field.
为了提高成熟油田的采收率,以及利用现有基础设施开采偏远地区的油气资源,大位移井的钻井越来越普遍。从地质力学的角度来看,大位移井的钻井和完井在技术上可能会变得非常具有挑战性,因为这些井通常在大斜度下钻得很长,容易出现井眼不稳定问题,如封隔或井壁坍塌。以北海Ekofisk油田的一口大位移井为例,观察到井眼稳定性问题,并最终导致井失井。根据特定井的应力和地层强度数据进行井筒稳定性评估,以探索可能导致井失的故障。特别地,利用软弱面模型来模拟沿覆岩层理可能发生的剪切破坏。采用蒙特卡罗方法考虑了岩石基质强度的不确定性,以及泥浆窗上的黏聚力、摩擦系数和层理面方向。本文重点研究了层理平面的特性对最小所需泥浆比重的影响,并与实际使用的泥浆比重进行了比较。沿薄弱层产生的泥浆窗口表明,这种类型的破坏与13 1/2-in井段的破坏机制有关,因为所使用的泥浆比重不足以避免这种破坏。考虑到Ekofisk地区大位移井沿薄弱面的不确定性和破坏,可以产生更安全的泥浆窗口,从而减少现场井筒不稳定的发生。
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引用次数: 0
Designing and Qualifying Equipment for a Potential World-Record Deepwater Casing Landing Operation 为可能创造世界纪录的深水套管着陆作业设计和鉴定设备
Pub Date : 2023-03-07 DOI: 10.2118/212545-ms
T. Chase, Aaron Garcia, K. Marchman, M. Mendoza, Chris von Eberstein, Jacob Tritz, Noah Tritz, Chris Jordan, L. Smith
As the design of deepwater wells continues to evolve for unlocking new reserves from deeper and challenging reservoir conditions, longer and heavier casing strings are required to achieve various well objectives and operational efficiency. The mechanical requirements resulting from the landing and cementing of these heavy casing strings pushes the limits on current equipment. Landing and cementing such heavy casing designs presents numerous challenges to conduct the operation safely and efficiently, requiring the implementation of non-conventional alternatives to manage the loads for enabling the existing rigs to step-out of the normal drilling envelopes. For drilling the first deepwater 20,000 psi development well in Gulf of Mexico, the Operator required the large diameter nested liner strings to be deployed deeper than any offset well, for ensuring pressure containment while drilling and sufficient diameter for the larger production casing / completion equipment. As a result, the load of landing the 16″ nested liner string was expected to exceed 2.5 million lbf, which was outside of the operational capability of any existing equipment, including drilling rig, landing string and cementing head. The planning team assessed alternatives for running the liner with an existing drillship and the landing equipment available including pipe, cementing head and handling equipment. Rigorous measures had to be put in place in order to determine the technical requirements to qualify the equipment for the operation and better understand and mitigate the risks involved. These challenges were overcome by considerable planning in landing string design, handling equipment implementation, assessing rig load path and shearing capability for the heavy landing string, equipment design review and testing, and equipment inspections and qualifications. Specific areas of focus included: the use of heavy-duty, high yield, thick wall landing string through the BOP stack, upgrading the shearing and sealing capability of the rig's BOP stack, use of buoyed landing string above the BOP stack and the associated handling equipment, an increased load rating of cementing equipment by re-evaluating design and material, customized inspection criteria for all equipment to be used, and a thorough evaluation of landing string accessories to validate structural integrity. All parties involved provided significant effort to ensure that the equipment used in this string was fit for purpose. The stringent planning, ratings re-evaluation, and equipment qualifications helped ensure the successful landing of a potential world-record 2.49 million lbf hookload 16 in. liner string under challenging weather conditions. The successful landing of this string paves the way for future wells where similar design challenges will be faced.
随着深水井设计的不断发展,为了从更深和具有挑战性的油藏条件中开发新储量,需要更长、更重的套管柱,以实现各种井目标和作业效率。这些重型套管柱的下入和固井所产生的机械要求,使现有设备的性能受到了限制。如此重型套管的下入和固井设计给安全高效的作业带来了诸多挑战,需要采用非传统的替代方案来管理载荷,使现有钻机能够脱离常规的钻井包封层。为了在墨西哥湾钻井第一口压力为20000 psi的深水开发井,作业者要求将大直径嵌套尾管管柱置于比邻井更深的位置,以确保钻井时的压力控制,并为更大的生产套管/完井设备提供足够的直径。因此,下入16″嵌套尾管管柱的载荷预计将超过250万lbf,这超出了现有设备(包括钻机、下入管柱和固井头)的操作能力。规划团队评估了使用现有钻井船和着陆设备(包括管柱、固井头和处理设备)下入尾管的备选方案。必须采取严格的措施,以确定操作设备的技术要求,并更好地了解和减轻所涉及的风险。通过对着陆管柱设计、处理设备的实施、重型着陆管柱的钻机载荷路径和剪切能力评估、设备设计审查和测试、设备检查和资格认证等方面的大量规划,克服了这些挑战。具体的重点领域包括:通过防喷器组使用重型、高产、厚壁着陆管柱,提高了钻井平台防喷器组的剪切和密封能力,在防喷器组和相关处理设备上方使用浮筒着陆管柱,通过重新评估设计和材料提高了固井设备的负载等级,为所有设备定制了检查标准,并对着陆管柱附件进行了全面评估,以验证结构的完整性。所有相关方都付出了巨大的努力,以确保该管柱中使用的设备符合要求。严格的计划、评级重新评估和设备认证确保了成功着陆,这一潜在的世界纪录是249万磅重的16英寸钩载。恶劣天气条件下的尾管管柱。该管柱的成功下入为未来面临类似设计挑战的井铺平了道路。
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引用次数: 0
Problems to Solve to Achieve Cost Efficient CO2 Injection Wells 实现低成本注二氧化碳井需要解决的问题
Pub Date : 2023-03-07 DOI: 10.2118/212485-ms
Henrik Manum, Line Kristin Borgerud, R. Stokke
This paper reviews particular challenges for offshore CO2 injector wells, and how these can be mitigated by improving tools, methods, and best practices. Further, challenges with assessment of leakage risk through existing wellbores is reviewed. Finally, a possible cost reduction path for offshore CO2 injection by simplifications in well design is given.
本文回顾了海上CO2注入井面临的特殊挑战,以及如何通过改进工具、方法和最佳实践来缓解这些挑战。此外,还回顾了现有井眼泄漏风险评估面临的挑战。最后,给出了通过简化油井设计来降低海上CO2注入成本的可能途径。
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引用次数: 0
An Investigation on the Effect of Sea Currents on Weather Routing Optimisation 海流对天气航路优化影响的研究
Pub Date : 2023-03-07 DOI: 10.5957/some-2023-027
Ageliki Kytariolou, N. Themelis
In the present study, a preliminary investigation for the effect of sea currents on the identification of the optimal route utilising a developed weather routing tool is presented. The contribution of sea currents can be either positive when a moving vessel goes towards their flow and consequently time and fuel are potentially saved, or negative when moving against their flow affecting ship’s speed and consumption notably. The developed weather routing tool is based on a physics-based model for the calculation of main engine’s fuel oil consumption considering the forecasted weather along the route as well as ship characteristics. Several strategies for the treatment of the currents are examined reflecting different fuel oil and time savings.
在本研究中,我们利用一种已开发的天气路线工具,对海流对确定最佳路线的影响进行了初步调查。海流的贡献可以是正的,当一个移动的船只朝着他们的流动,从而可能节省时间和燃料,或负的,当移动对他们的流动影响船舶的速度和消耗显著。所开发的天气航路工具是基于一个物理模型来计算主机的燃油消耗,考虑到预测的天气以及船舶的特性。研究了几种处理电流的策略,反映了不同的燃油和时间节省。
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Day 2 Wed, March 08, 2023
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