Academic literature on the topic 'Windows deployment services'
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Journal articles on the topic "Windows deployment services"
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Ren, Zhi Jun. "The Deployment of Business Platform Based on WSS." Advanced Materials Research 211-212 (February 2011): 1096–99. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.1096.
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Business platform used by an enterprise is an powerful tool to improve rapidly the business process and meet well the busines needs.Based on windows sharepoint services (WSS) 3.0, the paper has given a solution of business platform , has certain innovation, higher theoretical significance and practical value. This paper mainly researches how to deploy a business platform based on WSS.
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V. Deshpande, Drumil. "Automated system for deployment of websites and windows services to the production servers." IOSR Journal of Computer Engineering 16, no. 6 (2014): 21–23. http://dx.doi.org/10.9790/0661-16642123.
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KIPORENKO, Svitlana. "FEATURES OF USING CLOUD TECHNOLOGIES IN EDUCATION." "EСONOMY. FINANСES. MANAGEMENT: Topical issues of science and practical activity", no. 4 (44) (April 2019): 181–89. http://dx.doi.org/10.37128/2411-4413-2019-4-19.
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The article investigates cloud technologies and features of their use in educational institutions. The essence of cloud technologies in education is determined. It is noted that the modern institution of higher education provides usage of information and communication technologies, and in particular, cloud technologies. The main characteristics (features) which characterize cloud services are described here. It is noted that usage of cloud services has benefits and problems as well. There are such mandatory characteristics of cloud computing as self-service on demand, universal access to the network, resource pooling, elasticity, consumption accounting. Four models of deployment of cloud technologies are revealed in the article. They are corporate, public, group and hybrid. It is admitted that the most appropriate model of deployment of cloud technologies in the infrastructure of higher education institutions is hybrid. Cloud technologies support such activities as: communication, collaboration and co-operation, which determines certain areas of their usage. The architecture of cloud technologies is presented in three levels: software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS). The most popular cloud services which are used in various spheres, including educational institutions, are analyzed here. Office 365, Microsoft Planner, Microsoft SkyDrive, Google Drive, Google Talk, Google Docs, these are the common cloud services which are selected in SaaS. Popular software platforms which are presented in the PaaS segment are Windows Azure, Google App Engine, Cloud9 IDE, Ideone IDE. Each of the cloud platforms that is described in the article has its own peculiarities. Possible areas of application of cloud technologies in the educational process are identified. They are free access to the programs and services used in the educational process, planning activities, implementation of the working regime of teachers and employees, the organization and conduct of scientific online conferences, seminars, forums, round tables, trainings, joint project work of students, individual independent work of students, electronic interaction with entrants.
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Sun, Ting, and Sue Grimmond. "A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration." Geoscientific Model Development 12, no. 7 (July 9, 2019): 2781–95. http://dx.doi.org/10.5194/gmd-12-2781-2019.
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Abstract. Accurate and agile modelling of cities weather, climate, hydrology and air quality is essential for integrated urban services. The Surface Urban Energy and Water balance Scheme (SUEWS) is a state-of-the-art widely used urban land surface model (ULSM) which simulates urban–atmospheric interactions by quantifying the energy, water and mass fluxes. Using SUEWS as the computation kernel, SuPy (SUEWS in Python) uses a Python-based data stack to streamline the pre-processing, computation and post-processing that are involved in the common modelling-centred urban climate studies. This paper documents the development of SuPy, including the SUEWS interface modification, F2PY (Fortran to Python) configuration and Python front-end implementation. In addition, the deployment of SuPy via PyPI (Python Package Index) is introduced along with the automated workflow for cross-platform compilation. This makes SuPy available for all mainstream operating systems (Windows, Linux and macOS). Three online tutorials in Jupyter Notebook are provided to users of different levels to become familiar with SuPy urban climate modelling. The SuPy package represents a significant enhancement that supports existing and new model applications, reproducibility and enhanced functionality.
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Riana, Eri. "Implementasi Cloud Computing Technology dan Dampaknya Terhadap Kelangsungan Bisnis Perusahaan Dengan Menggunakan Metode Agile dan Studi Literatur." JURIKOM (Jurnal Riset Komputer) 7, no. 3 (June 14, 2020): 439. http://dx.doi.org/10.30865/jurikom.v7i3.2192.
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Cloud Computing technology is a new paradigm in the delivery of computing services, Cloud Computing has many advantages compared to conventional systems usually. The development of business at this time began to compete globally to be able to satisfy customers, so companies need access to information that is fast and accurate. In order to access information quickly, companies need to build Information and Communication Technology infrastructure that requires large capital, on the other hand cloud computing is present as an alternative solution. Services provided by cloud computing include hardware, infrastructure, platforms and applications. Cloud computing is very useful, because it can reduce computing costs, increase reliability and provide considerable opportunities for the industrial world. One company that provides cloud computing services is Google. The features of cloud computing are believed to be far more efficient and satisfying. The problem that arises is how companies implement Cloud Computing using Google Cloud and how to carry out the process of deployment and provisioning of Google Cloud SQL Database. The purpose of this research is to provide a study of the benefits of implementing Google Cloud for companies to improve business competitiveness so tightly. This research uses Agile method and literature study, which begins with planning, implementation, testing, documentation, deployment, maintenance, problem identification and analysis and discussion related to Google Cloud, where the results of this research are that Google Cloud can create a model business is more flexible, and faster. The purpose of writing this journal is to provide an overview of the understanding of cloud computing and its development as well as the advantages and disadvantages of companies that use Cloud Computing technology. Based on these searches it is known that Cloud Computing as a technology that utilizes internet services uses a virtual central server for the purpose of maintaining data and applications. The existence of Cloud Computing itself has caused changes in the workings of information technology systems in a company. Security and data storage systems are important for companies. Cloud Computing technology has provided huge benefits for most companies. To carry out the process, the device needs to be prepared include hardware such as HPE DL 20 Gen 10 E-2136-4 SFF Server Computer, 2x1 TB SATA 7.2K 3.5 "Hard Drive, 256GB RAM, minimum bandwidth of 5 Mbps and software requirements including Windows Server 2012 R2 Enterprise, VMM, Google Cloud Platform Enterprise, SQL Server 2012
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D’Emidio, Mattia, Esmaeil Delfaraz, Gabriele Di Stefano, Giannantonio Frittella, and Edgardo Vittoria. "Route Planning Algorithms for Fleets of Connected Vehicles: State of the Art, Implementation, and Deployment." Applied Sciences 14, no. 7 (March 29, 2024): 2884. http://dx.doi.org/10.3390/app14072884.
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The introduction of 5G technologies has enabled the possibility of designing and building several new classes of networked information systems that were previously impossible to implement due to limitations on data throughput or the reliability of transmission channels. Among them, one of the most interesting and successful examples with a highly positive impact in terms of the quality of urban environments and societal and economical welfare is a system of semi-autonomous connected vehicles, where IoT devices, data centers, and fleets of smart vehicles equipped with communication and computational resources are combined into a heterogeneous and distributed infrastructure, unifying hardware, networks, and software. In order to efficiently provide various services (e.g., patrolling, pickup and delivery, monitoring), these systems typically rely on collecting and broadcasting large amounts of data (e.g., sensor data, GPS traces, or maps), which need to be properly collected and processed in a timely manner. As is well documented in the literature, one of the most effective ways to achieve this purpose, especially in a real-time context, is to adopt a graph model of the data (e.g., to model communication networks, roads, or interactions between vehicles) and to employ suitable graph algorithms to solve properly defined computational problems of interest (e.g., shortest paths or distributed consensus). While research in this context has been extensive from a theoretical perspective, works that have focused on the implementation, deployment, and evaluation of the practical performance of graph algorithms for real-world systems of autonomous vehicles have been much rarer. In this paper, we present a study of this kind. Specifically, we first describe the main features of a real-world information system employing semi-autonomous connected vehicles that is currently being tested in the city of L’Aquila (Italy). Then, we present an overview of the computational challenges arising in the considered application domain and provide a systematic survey of known algorithmic results for one of the most relevant classes of computational problems that have to be addressed in said domain, namely, pickup and delivery problems. Finally, we discuss implementation issues, adopted software tools, and the deployment and testing phases concerning one of the algorithmic components of the mentioned real-world system dedicated to handling a specific problem of the above class, namely, the pickup and delivery multi-vehicle problem with time windows.
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Abu Attieh, Hammam, Diogo Telmo Neves, Mariana Guedes, Massimo Mirandola, Chiara Dellacasa, Elisa Rossi, and Fabian Prasser. "A Scalable Pseudonymization Tool for Rapid Deployment in Large Biomedical Research Networks: Development and Evaluation Study." JMIR Medical Informatics 12 (April 23, 2024): e49646-e49646. http://dx.doi.org/10.2196/49646.
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Abstract Background The SARS-CoV-2 pandemic has demonstrated once again that rapid collaborative research is essential for the future of biomedicine. Large research networks are needed to collect, share, and reuse data and biosamples to generate collaborative evidence. However, setting up such networks is often complex and time-consuming, as common tools and policies are needed to ensure interoperability and the required flows of data and samples, especially for handling personal data and the associated data protection issues. In biomedical research, pseudonymization detaches directly identifying details from biomedical data and biosamples and connects them using secure identifiers, the so-called pseudonyms. This protects privacy by design but allows the necessary linkage and reidentification. Objective Although pseudonymization is used in almost every biomedical study, there are currently no pseudonymization tools that can be rapidly deployed across many institutions. Moreover, using centralized services is often not possible, for example, when data are reused and consent for this type of data processing is lacking. We present the ORCHESTRA Pseudonymization Tool (OPT), developed under the umbrella of the ORCHESTRA consortium, which faced exactly these challenges when it came to rapidly establishing a large-scale research network in the context of the rapid pandemic response in Europe. Methods To overcome challenges caused by the heterogeneity of IT infrastructures across institutions, the OPT was developed based on programmable runtime environments available at practically every institution: office suites. The software is highly configurable and provides many features, from subject and biosample registration to record linkage and the printing of machine-readable codes for labeling biosample tubes. Special care has been taken to ensure that the algorithms implemented are efficient so that the OPT can be used to pseudonymize large data sets, which we demonstrate through a comprehensive evaluation. Results The OPT is available for Microsoft Office and LibreOffice, so it can be deployed on Windows, Linux, and MacOS. It provides multiuser support and is configurable to meet the needs of different types of research projects. Within the ORCHESTRA research network, the OPT has been successfully deployed at 13 institutions in 11 countries in Europe and beyond. As of June 2023, the software manages data about more than 30,000 subjects and 15,000 biosamples. Over 10,000 labels have been printed. The results of our experimental evaluation show that the OPT offers practical response times for all major functionalities, pseudonymizing 100,000 subjects in 10 seconds using Microsoft Excel and in 54 seconds using LibreOffice. Conclusions Innovative solutions are needed to make the process of establishing large research networks more efficient. The OPT, which leverages the runtime environment of common office suites, can be used to rapidly deploy pseudonymization and biosample management capabilities across research networks. The tool is highly configurable and available as open-source software.
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Guillen-Perez, Antonio, Ana-Maria Montoya, Juan-Carlos Sanchez-Aarnoutse, and Maria-Dolores Cano. "A Comparative Performance Evaluation of Routing Protocols for Flying Ad-Hoc Networks in Real Conditions." Applied Sciences 11, no. 10 (May 11, 2021): 4363. http://dx.doi.org/10.3390/app11104363.
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Unmanned aerial vehicles (UAVs) are widely used in our modern society and their development is rapidly accelerating. Flying Ad Hoc Networks (FANETs) have opened a new window of opportunity to create new value-added services. However, the characteristics that make FANETs unique, such as node mobility, node distance, energy constraints, etc., imply that several guidelines need to be considered for their successful deployment. Although numerous routing protocols have been proposed for FANETs, due to the wide range of applications in which FANETs can be applied, not all routing protocols can be used. Due to this challenge, after breaking down and classifying the different types of existing routing protocols for FANET, this paper analyzes and compares the performance of several routing protocols (Babel, BATMAN-ADV, and OLSR) in terms of throughput and packet loss in a real deployment composed of several UAV nodes using 2.4 and 5 GHz WiFi networks. The results show that Babel achieves better performance in the studied metrics than OLSR and BATMAN-ADV, while BATMAN-ADV delivers significantly lower performance. This experimental study confirms the importance of choosing the proper routing protocol for FANETs and their performance evaluation, something that will be extremely important in a few years when this type of network will be common in our day-to-day life.
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Lei, Yang, and Ying Jiang. "Anomaly Detection for Nodes Under the Cloud Computing Environment." International Journal of Distributed Systems and Technologies 12, no. 1 (January 2021): 30–48. http://dx.doi.org/10.4018/ijdst.2021010103.
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Due to the services diversity and dynamic deployment, the anomalies will occur on nodes under cloud computing environment. If a single node generates an anomaly, the associated nodes are affected by the abnormal node, which will result in anomaly propagation and nodes failure. In this paper, a method of anomaly detection for nodes under the cloud computing environment is proposed. Firstly, the node monitoring model is established by the agents deployed on each node. Secondly, the comprehensive score is used to identify abnormal data. The anomaly of the single node is judged by the time window-based method. Then, the status of directly associated nodes is detected through normalized mutual information and the status of indirectly associated nodes is detected through the node attributes in the case of a single node anomaly. Finally, other associated nodes affected by the abnormal node are detected. The experimental results showed that the method in this paper can detect the anomalies of single node and associated node under the cloud computing environment effectively.
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Handayani, Erna. "Abnormal return of Indonesian banking shares in the time of COVID 19." International Journal of Research in Business and Social Science (2147- 4478) 9, no. 7 (December 12, 2020): 108–14. http://dx.doi.org/10.20525/ijrbs.v9i7.964.
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With the pandemic Covid, the Indonesian government issued a fiscal policy through the Financial Services Authority (POJK 11 2020) on National Economic Stimulus as Policy Countercyclical Impact Deployment Coronavirus Disease, 2019. This study analyzes the reaction markets banking sector in Indonesia to the event announcement publication of these regulations. This quantitative study uses the Event Study methodology. This study uses abnormal return testing events on secondary data 45 Indonesian banks listed on the Jakarta Stock Exchange. The method of calculating the abnormal return uses the Market Model, with an estimated period of 21 days and a window period of 11 days. The research period was carried out between February 11 and March 20, 2020. The test carries out with an average of difference test before and after the event, with an error rate of 5%. Based on the cumulative abnormal return t-test, data shows that from minus five days, the regulation's announcement up to 5 days after which the market moves significantly negative. This event study is a news phenomenon of Indonesia's latest financial policies related to banking stocks during the Covid pandemic.
Dissertations / Theses on the topic "Windows deployment services"
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Nilsson, Martin, and Peter Månsson. "Distribuering av Windows Vista." Thesis, University of Kalmar, School of Communication and Design, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-825.
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Rapporten avser att undersöka vilka olika lösningar det finns att tillgå då Windows Vista skall rullas ut till ett antal klientdatorer. Information om de olika produkterna presenteras samt praktiska laborationer med resultat. Slutligen görs en bedömning av vilken produkt eller lösning som lämpar sig bäst för ett litet företag med få klienter respektive ett stort företag med många klienter. Slutsatsen innehåller våra rekommendationer för hur utrullningen bör ske. Arbetet resulterade i att vi kunde utefter våra laborationer fatta beslutet att Ghost Solution Suite passar bäst för ett mindre företag medan Microsofts lösningar lämpar sig mer när företagen kommer upp i många klienter. Detta grundas främst på priset för produkterna samt hur svåra de är att använda men även hur mycket tid som sparas per installation.
Books on the topic "Windows deployment services"
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Microsoft Corporation. Windows deployment services. Redmond, Wash.?]: Microsoft, 2008.
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Cupit, David. Strategic deployment of thin clients and multi-user Windows NT for campus computing services. Manchester: JISC, 1999.
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Blokdyk, Gerardus. Windows Deployment Services a Complete Guide - 2020 Edition. Emereo Pty Limited, 2020.
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Kadiri, Mr Hicham. Remote Desktop Services Windows Server 2012 R2: Design, Deployment and Management. Createspace Independent Publishing Platform, 2016.
Find full textBook chapters on the topic "Windows deployment services"
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Ferreira, Ronaldo, Lisane Brisolara, Julio C. B. Mattos, Emilena Spech, and Erika Cota. "Engineering Embedded Software." In Behavioral Modeling for Embedded Systems and Technologies, 245–70. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-750-8.ch010.
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Since 1965, with Moore’s law statement, industry is continually aggregating complex services into their products, enhancing people’s life quality with decreasing prices. Despite the advances towards hardware integration, current electronic products are relying even more on software to offer distinguished functionalities to users. Hence, the embedded system industry is facing a paradigm shift from its old fashioned hardware driven development to a strong software based one, exposing to the embedded systems domain unforeseen software design challenges. Indeed, this domain must devise its own and very specialized software engineering techniques, in order to achieve sustainable market growth with quality in the scheduled time. Embedded software is distinct from the standard one, fundamentally in the sense that its development is driven by physical properties such as memory footprint and energy consumption. Furthermore, embedded systems are developed within a very tight time-to-market window, pushing design and development practices to their limit. In this chapter, we discuss the use of software specifications at higher abstraction levels and the need to provide tools for software automation, because reliability and safety are important criteria present in several embedded applications, as well as time-to-market. This chapter discusses the design flow for embedded software, from its modeling to its deployment in the embedded platform.
Conference papers on the topic "Windows deployment services"
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Ceresoli, Michele, Giovanni Zanotti, and Michèle Lavagna. "Leveraging Sensors Fusion to Enhance One-way Lunar Navigation Signals." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-201.
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In recent years, the Moon has been identified as a key testing ground to develop and enhance technologies for future deep-space missions, resulting in an ever-growing number of planned Moon-targeted launches from both space agencies and commercial actors. Despite having different objectives, all these users share the need to maintain accurate and reliable state estimates. In this regard, The European Space Agency (ESA) has launched the Moonlight initiative to foster the development of a dedicated Lunar Communication and Navigation System (LCNS) exploiting a small satellite constellation in lunar orbits. LCNS will deliver cost-efficient and high-performance navigation and communication services to future lunar exploration missions, enabling users simplifying their design and lowering the size, mass and power demands of the navigation payload. Additionally, the deployment of a third-party constellation may facilitate the on-board implementation of autonomous lunar navigation systems, enabling rovers, landers and spacecraft to explore the lunar environment with no need for constant human control. At the beginning of the constellation setup, a key challenge will be the limited availability of navigation signals, due to the significantly smaller number of LCNS servicing satellites with respect to well-established Earth Global Navigation Satellite Systems (GNSS). In particular, the initial architecture will focus on maximizing the navigation performance of surface and Low Lunar Orbital (LLO) users at latitudes around the South Pole region, which is the subject of great scientific interest. Nevertheless, even for South Pole users, the LCNS constellation will still be too small to provide a continuous view of at least 4 satellites at any location, requiring the development of tailored navigation algorithms to cope with the mission requirements. To overcome these limitations, the paper investigates strategies to mitigate the impact of these reduced-servicers-visibility windows on the estimation process by exploiting sensor fusion techniques to integrate the one-way ranging LCNS signals with a suite of well-known sensors, which might include Inertial Measurement Units (IMUs), optical cameras, altimeters and Two-Way Ranging (TWR) with the Lunar Gateway (LOP-G). The observability gain provided by each sensor is analyzed as a function of the relative servicer-user dynamics, the required pointing strategy and the measurements availability. Different inclinations of LLO are analyzed to investigate the most favorable LCNS receiver antenna pointing direction that maximizes the overall number of visible satellites throughout the simulation window. Additionally, sensors mounting location on-board the spacecraft is discussed in relationship to the LLO inclination and satellite attitude, to identify possible operational constraints that may influence the observables availability and to identify the best suited sensors clustering for a given mission profile and operational needs. The simulation architecture consists of a high-fidelity non-Keplerian dynamics propagator, which accounts for irregular lunar gravity field and Solar Radiation Pressure (SRP) perturbations; a sensor suite to have a truthful noisy representation of the available spacecraft measurements; a dedicated sequential navigation filter. Each proposed navigation scheme underwent a Montecarlo testing campaign to comprehensively fix and tune the algorithm gains and parameters. The sensitivity of the navigation solution on the measurement noise has been assessed for each type of observable, allowing for a direct link between commercial sensor properties and the resulting navigation errors and uncertainties. A tightly coupled approach is exploited to directly fuse the LCNS one-way ranging measurements with other sensors data, making the observables availability hold irrespective of the actual number of visible LCNS satellites. The filter is constructed to estimate both the spacecraft state and the receiver clock bias and drift, allowing to properly account for the de-synchronization of the generally low-cost user clocks with respect to the high precision atomic clocks on-board of the LCNS constellation. The outcomes show that with the sole LCNS signals and a proper pointing strategy exploitation, the navigation error swings between 10 meters, with 4 visible satellites, and 1 km when the user is above the lunar North Pole and the LCNS servicers are obstructed by the Moon. Each of the analyzed sensors further improves these statistics: for low altitude LLO users, an altimeter provides continuous discrete altitude measurements that can improve the overall error up to 60%, especially if long LCNS-unavailability windows are present. On the other hand, although TWR with LOP-G effectively offers an additional high precision observable, its availability is often synchronized with that of the LCNS satellites: being on a Southern Near Rectilinear Halo Orbit (S-NRHO), the Gateway can only provide measurements for users located above the Lunar North Pole only for a day per week. Additionally, the performance of a variety of Runge-Kutta (RK) explicit integration schemes and dynamic approximations is tested for both Extended Kalman Filters (EKF) and Unscented Kalman Filters (UKF). A trade-off between solution accuracy and computation burden (i.e., number of required dynamic function evaluations) is performed to accommodate the needs of different spacecraft classes and available hardware. The results highlight that for filters running at 1 Hz a two-stage Heun integration method halves the CPU time required for the computations while bounding the propagation error difference with respect to Verner’s “Most Efficient” 8(7) scheme to less than 5 meters. On the other hand, at lower filter frequencies (e.g., 1/60 Hz), the same difference grows up to hundreds of meters, thus requiring a more accurate integration to properly navigate. The paper exhaustively presents that with the proper navigation sensors, autonomous lunar navigation exploiting a dedicated Moon-centered GNSS-like infrastructure can provide accurate and reliable state estimates, paving the way to a new generation of lunar exploration missions with enhanced autonomy and reliability. The present study has been carried out in collaboration with Telespazio.
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Hammad, Mohamed, Julian Hernandez, Angel Hernandez, Karim Mammadli, and Rustam Soltanov. "New Automated MPD Riser System Allowed an Operator to Reduce Manual Working Hours in the Moonpool by 85% and Installation Time by 60%." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207603-ms.
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Abstract In pursuit of efficiency and well construction cost optimization, the oil and gas industry demand continuous improvements and constant evolution of the service providers’ hardware and software, including Managed Pressure Drilling (MPD) technologies. Recently deployed in the Caspian Sea, the new automated riser system enabled an operator to reduce manual working hours in the moonpool by 85% and installation time by 59%. The improved efficiencies represent an additional saving of 19.5 hours rig time compared to the previous generation MPD below tension ring (BTR) systems, which are currently used on more than 19 floaters around the world. Lessons learned over the past 10 years led to the design and release of the new automated technology that resulted in this time and cost savings. The operator currently targets deep reservoirs that cannot be drilled using conventional drilling techniques because of very narrow operating windows. This paper discusses the service delivery process, engineering, and operational challenges that culminated in the flawlessly executed first deployment of the automated MPD riser system.
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Banica, Adrian, Chris K. Sheard, and Boyd T. Tolton. "RealSens™: An Advanced Passive Airborne Natural Gas Leak Detection Technology." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10019.
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Detecting natural gas leaks from the worlds nearly 5 million kilometers of underground pipelines is a difficult and costly challenge. Existing technologies are limited to ground deployment and have a number of limitations such as slow response, false leak readings and high costs. Various remote sensing solutions have been proposed in the past and a few are currently being developed. This paper starts by describing the remote sensing concept and then will focus on a new technology developed by Synodon scientists. This airborne instrument is a passive Gas Filter Correlation Radiometer (GFCR) that is tuned to measure ethane in the 3.3 microns near-infrared band. With its target natural gas column sensitivity of 50 μm, the instrument is capable of detecting very small leaks in the range of 5–10 cuft/hr in winds that exceed 6 miles/hr. The paper concludes with a description of the service which Synodon will be offering to the transmission and distribution pipeline operators using the new technology.
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Pupezescu, Valentin, Radu Radescu, and Sever Pasca. "DESIGN AND IMPLEMENTATION OF AN ONLINE LEARNING APPLICATION TO STUDY A VIRTUAL E-BANKING SYSTEM." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-107.
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This paper presents a case study of designing and using an Internet Banking Web application. Its goal is the online learning of administration and deployment of a virtual e-banking system. The application is developed using a three-tier architecture using Apache, PHP and MySQL. The application has all the functionalities of an actual e-banking real-life system. In addition, the paper focuses on highlighting the security problems that may occur and proposes solutions for them. For app implementation the WAMP (Windows, Apache, MySQL and PHP) system was used. Apache is an open source HTTP Server having the following main features: it allows server side programming, virtual hosting and especially the fact that it can be dynamically added modules to extend its functionality (feature that are seized in the paper). MySQL was chosen because it is the best known and widespread database management system. PHP was chosen because of its main advantages: simplicity, efficiency and flexibility. The application was developed using object-oriented programming. This application is the foundation for creating e-learning content to study the management systems of virtual banking. The application was implemented as an independent module into the online e-learning platform called Easy-Learning (an original product of the Department of Applied Electronics and Information Engineering from the University Politehnica of Bucharest). After testing the app, students suggested some improvements, such as real-time validation of user input or centralization of accounts statement, which was taken into account in completing the application. Two MySQL databases are used in this application: the database that stores all user information and account information, and the internal database for token used for authentication. Normally, each token ought to have its own database, but for simplicity a common database for all tokens was used. The implementation solution is that of a virtual event-based token and not time-based token, due to its advantages: server synchronization using an incremental counter, incrementing the counter is not performed without user’s intervention, there is no need for server timing synchronization, well-known cryptographic algorithms are used, and it does not require entering a PIN code for activation (as in the case of hardware token). The administrator has a specific menu, more complex compared to users’ menu. The administrator has additional rights, such as viewing, adding and deleting users, creating their accounts, and the ability to create a backup of the database tables and their restoration. The administrator is the only one that can add or delete users; there is no ability for users to register themselves in order to use the e-banking services. The administrator has access to the user menu, but not vice versa. From the administrator's point of view, analyzing user activity is easily performed using the menu of viewing the user operations history. This way, the administrator can oversee if a user has completed the system requirements or has experienced difficulties in carrying out banking operations. Also, the administrator can modify the user accounts balance when it is needed and can unlock user accounts experiencing authentication problems. From the user point of view, the application offers the following available financial operations: viewing accounts, opening or liquidation of deposits, paying bills or transfers between accounts, and foreign exchange. Currency exchange is updated following the rating of the National Bank of Romania, and this is a strong point of application. The web application allows users to access virtual Internet Banking accounts similar to real-life bank accounts and to accomplish financial transactions in a secure environment. There are multiple security filters, as well as financial operations that customers can achieve online. To improve user experience, a real-time validation of user input data is performed in order to inform the users when placing data in a non-specific format. Another advantage of the app is that all the IT tools and technologies used are freeware software. Overall, a free, interactive application is obtained, where the users can learn and practice in a virtual environment banking operations and procedures, and the administrator has all the necessary means to supervise and manage the whole process of learning and practical application of knowledge acquired.
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Khan, Muhammad Zafar, Shantanu Swadi, Richard T. Caminari, Timothy A. Burdett, and Graham Stronach. "Solving Dual Casing Zonal Isolation with the Deployment of a New Well Abandonment System. Rock-to-Rock Barriers Sets for Major Operators." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/202180-ms.
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Abstract The Plug and Abandonment (P&A) requirement stipulates a permanent barrier to be placed for restoring the cap rock during well abandonment. For a single casing, section milling has been successfully implemented and widely used for a number of years. For a dual casing string, this becomes particularly challenging when both casing strings are cemented. Conventional techniques require milling the entire inner casing from the top of cement followed by section milling the outer casing. This could require milling up thousands of feet on of the inner string and is not a cost-efficient solution. The service company has been heavily involved in a number of P&A campaigns, where the requirement was to come up with a solution for dual casing section milling. This paper discusses the design, technology, field runs and best practices developed to overcome this operational and economic challenge and save rig time in P&A operations. The challenge was to design a robust section mill that can drift through the inner casing restriction and expand to a high ratio to mill the outer casing. It was equally critical to manage shock and vibrations during the milling operation, ensure stability and, competitive ROP without incurring tool damage. To solve the operational and economic challenges, a unique system was developed to reduce the rig time. The system is a combination of the newly engineered high-ratio hydraulic section mill, with a 180% expansion ratio and a precisely oriented hydraulic stabilizer below it. This creates a unique 6-point stabilization system that helps to maintain the dynamic loads and vibrations to a manageable level. The system allows for a dual casing section window in few trips as compared to conventional techniques. In the first run, a window in the inner casing is milled by a section mill. During the second run, the High-Expansion Ratio Section Mill (HRSM) is run through the restriction, and mill the entire casing. A high ratio under reamer can be included in the bottom hole assembly to clean the section and expose the formation prior to the cementing operation. This completes achieving a rock-to-rock barrier in a dual cemented casing application. The new HRSM system has so far been 100% successful on the five challenging jobs completed in Europe, Asia and the Middle East, resulted in significant rig-time savings along with the added benefits of fewer trips and less swarf at the surface. Two sizes have been developed and tested for 7"x9-5/8" and 9-5/8"x13-3/8" applications. The success during the early jobs is largely due to the robustness of the mill design, proper pre-job planning, meticulous execution, and implementation of key learnings from in-house and prior field tests.
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Abu Zeid, Hosam, and Hani Elshahawi. "Advances in ROV & AUV Capabilities and Tooling for Energy Applications." In Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32298-ms.
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Abstract Deepwater oil and gas operations often deal with harsh environmental conditions which pose numerous challenges for the design and deployment of in-well, topside, and subsea systems and stretch the performance envelopes of the associated equipment. High pressure, temperature, and well flows require specialized downhole and subsea equipment with robust and resilient performance specifications. Punishing surface and subsea conditions such as wind, wave, and loop currents can make it difficult to locate and maintain subsea equipment with typhoon and hurricane seasons in various parts of the world generating up to100 mph winds and 12-foot storm surges which can force facility evacuations. Because of all these factors, remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs) have become critical for ensuring the safety and integrity of deepwater operations. ROVs are typically tethered to a surface vessel by a cable and are controlled remotely by a human operator, while AUVs are self-sufficient and can operate independently without a human operator. These specialized underwater robots are used for a variety of critical under-water applications, which range from monitoring and inspection to rescue and repair. This paper discusses recent advancements in the use of ROVs and AUVs in deepwater operations, specifically focusing on design considerations as defined by the interplay between water depth, buoyancy, propulsion and stabilization requirements during service operations. It also covers auxiliary tooling systems - the various tooling kits used for inspection, repair, and maintenance missions, all of which are fundamental to maintaining the safety and reliability of subsea systems. Finally, the paper explores innovations in the range of capabilities for special missions, deployment techniques, power sourcing options, the effect of different communication systems on the degree of autonomy and the range of underwater vehicle navigation systems.
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Cappiello, Stefano, and Adam Pasicznyk. "A Decade of Multilateral Technology Installation Improvements Down Under." In Offshore Technology Conference Brasil. OTC, 2023. http://dx.doi.org/10.4043/32910-ms.
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Abstract Multilateral completions increase reservoir exposure while reducing the investment by minimizing the equipment and the installation time compared to two individual wells. multilaterals (MLT) wells in the Northwest shelf of Australia have been installed for over a decade now. An overview of these operations, well architectures, technology evolution, reliability and efficiency are discussed in the paper. This paper reviews the custom solutions developed throughout the past decade illustrating not only the industry maturity, but also specific advancements in multilateral completion technology that were pioneered in the region. The study is focused on subsea multilateral campaigns, where multiple global and regional first installations took place in mature fields. Operational and technological advancements were implemented throughout the campaigns based on lessons learned. Inaugural deployments featured pre-milled windows, inner-string based liner orientation methods, and a dedicated cleanout trip. Operational modifications and new technologies were introduced to significantly reduce installation time and costs. The first multilateral installation completed in Australia by the service company was in 2006. Over several different projects with different operators in Australia, one particular system was the basis for successfully deployed variants, delivering over thirty productive laterals where mechanical and hydraulic integrity was achieved at each junction. The study demonstrates how the continual advancement of technologies and efficiencies resulted in a reduction of MLT installation time by nearly half since the first system was installed. This encompasses not only new installations, but also infill re-entry applications as well. Additional cost reductions were realized with the introduction of trilateral well construction. This was accomplished by addressing and mitigating risks inherent to adding more junctions to the configuration. This case study focuses on the offshore MLT well construction techniques and demonstrates how introducing both technology and efficiency changes can drive optimized time and costs amid oil price uncertainty. This paper also provides insight as to methodology for continually improving reliability of MLT installations, even while well complexity increases.
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Sarkar, Subhadeep, Mathias Horstmann, Tore Oian, Piotr Byrski, George Lawrence, Mark Gast, Marcelo Cecena, Mohamed Saher Dahroug, and Karl-Erik Holm Sylta. "Application of LWD Multipole Sonic for Quantitative Cement Evaluation – Well Integrity in the Norwegian Continental Shelf." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31100-ms.
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Abstract One of the crucial components of well integrity evaluation in offshore drilling is to determine the cement bond quality assuring proper hydraulic sealing. On the Norwegian Continental Shelf (NCS) an industry standard as informative reference imposes verification of cement length and potential barriers using bonding logs. Traditionally, for the last 50 years, wireline (WL) sonic tools have been extensively used for this purpose. However, the applicability of logging-while-drilling (LWD) sonic tools for quantitative cement evaluation was explored in the recent development drilling campaign on the Dvalin Field in the Norwegian Sea, owing to significant advantages on operational efficiency and tool conveyance in any well trajectory. Cement bond evaluation from conventional peak-to-peak amplitude method has shown robust results up to bond indexes of 0.6 for LWD sonic tools. Above this limit, the casing signal is smaller than the collar signal and the amplitude method loses sensitivity to bonding. This practical challenge in the LWD realm was overcome through the inclusion of attenuation rate measurements, which responds accordingly in higher bonding environments. The two methods are used in a hybrid approach providing a full range quantitative bond index (QBI) introduced by Izuhara et al. (2017). In order to conform with local requirements related to well integrity and to ascertain the QBI potential from LWD monopole sonic, a wireline cement bond log (CBL) was acquired in the first well of the campaign for comparison. This enabled the strategic deployment of LWD QBI service in subsequent wells. LWD sonic monopole data was acquired at a controlled speed of 900ft/h. The high-fidelity waveforms were analyzed in a suitable time window and both amplitude- and attenuation-based bond indexes were derived. The combined hybrid bond index showed an excellent match with the wireline reference CBL, both in zones of high as well as lower cement bonding. The presence of formation arrivals was also in good correlation with zones of proper bonding distinguishable on the QBI results. This established the robustness of the LWD cement logging and ensured its applicability in the rest of the campaign which was carried out successfully. While the results from LWD cement evaluation service are omnidirectional, it comes with a wide range of benefits related to rig cost or conveyance in tough borehole trajectories. Early evaluation of cement quality by LWD sonic tools helps to provide adequate time for taking remedial actions if necessary. The LWD sonic as part of the drilling BHA enables this acquisition and service in non-dedicated runs, with the possibility of multiple passes for observing time-lapse effects. Also, the large sizes of LWD tools relative to the wellbore ensures a lower signal attenuation in the annulus and more effective stabilization, thereby providing a reliable bond index.
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Locoche, Slim, Rémi Delage, Philippe Leblond, Waldemar Martens, Lorenzo Bucci, Jessica Grenouilleau, Salvatore Vivenzio, and Alain Lamy. "Cis-Lunar Transfer Vehicle: Mission Analysis for an ESA Transfer Vehicle to the Gateway." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-051.
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In 2018, the International Space Exploration Coordination Group proposed international agreements on space exploration: expand human presence into the Solar System, with the surface of Mars as a common driving goal and prepare for space exploration missions beginning with the ISS and continuing to the lunar vicinity, the lunar surface, then on to Mars. The development and deployment of a lunar orbital platform gateway concept, called the Gateway, has been proposed as an intermediate step towards deep space travel. The Gateway would be placed in a Near Rectilinear Halo Orbit (NRHO) which has been identified as a suitable orbit for fulfilling the various mission requirements. The Gateway would, for instance, host crews on their way to the Moon surface or serve as an assembly point for the various elements of lunar landers. In order to fulfil some of these exploration objectives, the study of a Cis-Lunar Transfer Vehicle (CLTV) concept has been performed at Airbus Defence and Space under the supervision of the European Space Agency: in its initial configuration, the CLTV would be an unmanned expendable space transport vehicle designed for logistic servicing of the Gateway. It provides the capabilities of delivering pressurized and unpressurized cargoes to the Gateway and serves for the Human Landing System Refuelling. The CLTV uses the ARIANE 6 EVO launch services for the launch and then performs the transfer to the Gateway’s NRHO. Once this orbit is reached, the CLTV performs autonomously all the operations until docking to the Gateway. This study investigates the available Earth to NRHO transfer options with the objective of providing useful information for a mission architecture and system trade-off in order to define one or more transfer baseline. In particular, 1) the launch options – launch into Lunar Transfer Orbits or into Earth bounded orbits such as GTO, launch inclination and 2) transfer types – from short transfers to the NRHO with and without powered gravity assist to long low-energy transfers are optimized and assessed in a high-fidelity model. The feasibility and robustness of these options under realistic operational requirements are analysed and the overall mission performance (payload delivery, transfer duration, launch window, etc …) is assessed and traded providing a broad scope of future transfer options from Earth to the Gateway. Finally, a preliminary assessment of the operational concept of the far rendezvous with the Gateway are shown for the investigated transfer options.
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Verma, Rahul, V. Muthamizhvendan, Sivakumar Ganesan, Mahesh Sarode, Mohammad Syafiq, Amol Diware, and Akshata Berry. "Case Study: First Ever Implementation of Managed Pressure Drilling to Drill Exploratory and Near Wildcat Well at Ongc Tripura Asset." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22005-ms.
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Abstract This paper describes the use of managed pressure drilling (MPD) and managed pressure cementing (MPC) technology on a high-pressure high-temperature (HP/HT) well in North-Eastern onshore, India by Oil and Natural Gas Corporation Ltd. (ONGC), a leading exploration and production company in India in collaboration with Halliburton, one of the major oilfield service providers globally. The bottom-hole temperature recorded in this well is 151°C and bottom-hole pressure of over 15,000psi at target depth. The MPD technology was utilized for drilling the well for the first time in ONGC. The near wild cat well was successfully drilled and cemented to a depth of 4,840 mMD and made history by tapping into Lower Bhuban and Barail sands for the first time, while successfully drilling in uncertain pore pressure environments, managing gas and water kicks, coping with loss zones, and identifying production zones together with pore pressure estimation. The well posed many challenges including uncertain pore pressures, highly unstable formations, likelihood of differential sticking and high-pressures/high-temperatures. The operator had attempted to drill the well conventionally in the past which had to be abandoned due to technical complications owing to high pore pressure gas and water sands as well as high differential pressure. MPD uses a closed-loop system that adds an increased level of environmental protection and allows for the use of an automated early kick detection system for increased safety. The automated MPD system was incorporated for the two well sections (12-1/4" and 8-1/2" hole sections) to provide control, flexibility, and safety required to drill and mitigate these risks. This implementation allowed to drill 2,013 meters (6,604 feet) in an extremely challenging zone in stable and safe conditions. The well was drilled to a target depth of 4,840 meters (15,880 feet). Deployment of an extensive MPD surface control system (along with rotating control device, fully automated choke manifold and back-pressure pump) allowed drilling and cementing of the well in a safe and efficient manner without any breach to safety and service quality. The MPD technology enabled ONGC to reduce the mud weight while drilling the well by balancing the formation pressure with application of additional SBP from surface using MPD choke manifold. This helped ONGC tackle the narrow drilling window along with early-kick management in HP/HT environment. The well was drilled to target depth of 4,840 mMD, making it the deepest drilled and cased hole in Tripura, Asset India. Major formation information on Lower Bhuban and Barail sands was obtained along with ascertaining zones of interest by allowing early detection of formation changes and hydrocarbon zones. The formation was non-drillable through conventional approach and implementation of MPD technology made it possible. The operation was carried out with extensive remote support from team in global and region considering pandemic situation.