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Artigos de revistas sobre o assunto "Workflow efficiencies":
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Pang, Zhiqiang, Jasmine Chong, Shuzhao Li e Jianguo Xia. "MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics". Metabolites 10, n.º 5 (7 de maio de 2020): 186. http://dx.doi.org/10.3390/metabo10050186.
Resumo:
Liquid chromatography coupled to high-resolution mass spectrometry platforms are increasingly employed to comprehensively measure metabolome changes in systems biology and complex diseases. Over the past decade, several powerful computational pipelines have been developed for spectral processing, annotation, and analysis. However, significant obstacles remain with regard to parameter settings, computational efficiencies, batch effects, and functional interpretations. Here, we introduce MetaboAnalystR 3.0, a significantly improved pipeline with three key new features: (1) efficient parameter optimization for peak picking; (2) automated batch effect correction; and (3) more accurate pathway activity prediction. Our benchmark studies showed that this workflow was 20~100× faster compared to other well-established workflows and produced more biologically meaningful results. In summary, MetaboAnalystR 3.0 offers an efficient pipeline to support high-throughput global metabolomics in the open-source R environment.
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RATNASWAMY, G., e V. DHARMAVARAM. "Improving Workflow Efficiencies in Protein Formulation Laboratories Using Visual Basic for Applications". Journal of the Association for Laboratory Automation 12, n.º 2 (abril de 2007): 90–98. http://dx.doi.org/10.1016/j.jala.2006.08.007.
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Arthur, Michael A., e Millie L. Jackson. "Redesigning Technical Services for the 21st Century: A Case Study from the University of Alabama Libraries". Library Resources & Technical Services 64, n.º 3 (31 de julho de 2020): 120. http://dx.doi.org/10.5860/lrts.64n3.120-130.
Resumo:
The University of Alabama Libraries began the process of workflow analysis over a decade ago. Primarily focused on the traditional technical services areas, this process has been iterative and has evolved from looking for efficiencies to a broader change in the culture and an acceptance of an ongoing process of improvement. This article distills lessons learned from workflow analysis in the areas of acquisitions, electronic resources, and cataloging/metadata but also examines how these changes impacted the broader library and philosophies of collection development and management.
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Davies, Richard, e Sotirios Alpanis. "Behind the scenes of the British Library Qatar National Library Partnership: Digital operations and workflow management". Alexandria: The Journal of National and International Library and Information Issues 28, n.º 2 (agosto de 2018): 86–100. http://dx.doi.org/10.1177/0955749019839604.
Resumo:
The British Library and Qatar National Library have been working in partnership since 2012 to make an extraordinary tranche of material available for everyone to access for free via the Qatar Digital Library. This article delves behind the scenes of the partnership, highlighting some of the operational and workflow lessons learnt when running this major digitisation programme. We look in detail at workflow management and coordination, how to use management information to find efficiencies, as well as providing a supportive team atmosphere for creative use of the collections via ‘Hack Days’.
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Jhala, Meenakshi, e Rahul Menon. "Examining the impact of an asynchronous communication platform versus existing communication methods: an observational study". BMJ Innovations 7, n.º 1 (6 de outubro de 2020): 68–74. http://dx.doi.org/10.1136/bmjinnov-2019-000409.
Resumo:
BackgroundHealthcare systems revolve around intricate relations between humans and technology. System efficiency depends on information exchange that occur on synchronous and asynchronous platforms. Traditional synchronous methods of communication may pose risks to workflow integrity and contribute to inefficient service delivery and medical care.AimTo compare synchronous methods of communication to Medic Bleep, an instant messaging asynchronous platform, and observe its impact on clinical workflow, quality of work life and associations with patient safety outcomes and hospital core operations.MethodsCohorts of healthcare professionals were followed using the Time Motion Study methodology over a 2-week period, using both the asynchronous platform and the synchronous methods like the non-cardiac pager. Questionnaires and interviews were conducted to identify staff attitudes towards both platforms.ResultsA statistically significant figure (p<0.01) of 20.1 minutes’ reduction in average task completion was seen with asynchronous communication, saving 58.8% of time when compared with traditional synchronous methods. In subcategory analysis for staff: doctors, nurses and midwifery categories, a p value of <0.0495 and <0.01 were observed; a mean time reduction with statistical significance was also seen in specific task efficiencies of ‘To-Take-Out (TTO), patient review, discharge & patient transfer and escalation of care & procedure’. The platform was favoured with an average Likert value of 8.7; 67% found it easy to implement.ConclusionThe asynchronous platform improved clinical communication compared with synchronous methods, contributing to efficiencies in workflow and may positively affect patient care.
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Olakotan, Olufisayo Olusegun, e Maryati Mohd Yusof. "The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review". Health Informatics Journal 27, n.º 2 (abril de 2021): 146045822110075. http://dx.doi.org/10.1177/14604582211007536.
Resumo:
A CDSS generates a high number of inappropriate alerts that interrupt the clinical workflow. As a result, clinicians silence, disable, or ignore alerts, thereby undermining patient safety. Therefore, the effectiveness and appropriateness of CDSS alerts need to be evaluated. A systematic review was carried out to identify the factors that affect CDSS alert appropriateness in supporting clinical workflow. Seven electronic databases (PubMed, Scopus, ACM, Science Direct, IEEE, Ovid Medline, and Ebscohost) were searched for English language articles published between 1997 and 2018. Seventy six papers met the inclusion criteria, of which 26, 24, 15, and 11 papers are retrospective cohort, qualitative, quantitative, and mixed-method studies, respectively. The review highlights various factors influencing the appropriateness and efficiencies of CDSS alerts. These factors are categorized into technology, human, organization, and process aspects using a combination of approaches, including socio-technical framework, five rights of CDSS, and Lean. Most CDSS alerts were not properly designed based on human factor methods and principles, explaining high alert overrides in clinical practices. The identified factors and recommendations from the review may offer valuable insights into how CDSS alerts can be designed appropriately to support clinical workflow.
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Chang, Philip, e Shyam Prabhakaran. "Recent advances in the management of acute ischemic stroke". F1000Research 6 (13 de abril de 2017): 484. http://dx.doi.org/10.12688/f1000research.9191.1.
Resumo:
In recent years, several landmark trials have transformed acute ischemic stroke care. The most dramatic results from the field of acute endovascular intervention demonstrate unequivocal benefit for a select group of patients with moderate to severe deficits presenting within 7 hours from onset and with occlusions of proximal arteries in the anterior circulation. In addition, technological advances and workflow efficiencies have facilitated more rapid delivery of acute stroke interventions. This review provides an overview of recent advances in the management of acute ischemic stroke.
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Lu, Xinyan. "Development of an Excel-based laboratory information management system for improving workflow efficiencies in early ADME screening". Bioanalysis 8, n.º 2 (janeiro de 2016): 99–110. http://dx.doi.org/10.4155/bio.15.232.
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Coughlin, M. "75 Age Appropriate Care of the Premature and Hospitalized Infant: Nursing Workflow Efficiencies and Quality Clinical Outcomes". Archives of Disease in Childhood 97, Suppl 2 (1 de outubro de 2012): A21. http://dx.doi.org/10.1136/archdischild-2012-302724.0075.
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Sieja, Amber, Eric Kim, Heather Holmstrom, Stephen Rotholz, Chen Tan Lin, Christine Gonzalez, Cortney Arellano, Sarah Hutchings, Denise Henderson e Katie Markley. "Multidisciplinary Sprint Program Achieved Specialty-Specific EHR Optimization in 20 Clinics". Applied Clinical Informatics 12, n.º 02 (março de 2021): 329–39. http://dx.doi.org/10.1055/s-0041-1728699.
Resumo:
Abstract Objective The objective of the study was to highlight and analyze the outcomes of software configuration requests received from Sprint, a comprehensive, clinic-centered electronic health record (EHR) optimization program. Methods A retrospective review of 1,254 Sprint workbook requests identified (1) the responsible EHR team, (2) the clinical efficiency gained from the request, and (3) the EHR intervention conducted. Results Requests were received from 407 clinicians and 538 staff over 31 weeks of Sprint. Sixty-nine percent of the requests were completed during the Sprint. Of all requests, 25% required net new build, 73% required technical investigation and/or solutions, and 2% of the requests were escalated to the vendor. The clinical specialty groups requested a higher percentage of items that earned them clinical review (16 vs. 10%) and documentation (29 vs. 23%) efficiencies compared with their primary care colleagues who requested slightly more order modifications (22 vs. 20%). Clinical efficiencies most commonly associated with workbook requests included documentation (28%), ordering (20%), in basket (17%), and clinical review (15%). Sprint user requests evaluated by ambulatory, hardware, security, and training teams comprised 80% of reported items. Discussion Sprint requests were categorized as clean-up, break-fix, workflow investigation, or new build. On-site collaboration with clinical care teams permitted consensus-building, drove vetting, and iteration of EHR build, and led to goal-driven, usable workflows and EHR products. Conclusion This program evaluation demonstrates the process by which optimization can occur and the products that result when we adhere to optimization principles in health care organizations.
Teses / dissertações sobre o assunto "Workflow efficiencies":
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Andersson, Elsa, Moa Strömland e Catherine Quassdorf. "Microinteractions: Don’t forget to raise your hand! : A qualitative study concerning microinteractions in digital meeting platforms and the impact they have on workflow efficiencies in the creative industry". Thesis, Jönköping University, JTH, Avdelningen för datateknik och informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53487.
Resumo:
This research paper studies the extent of how microinteractions are utilized in Microsoft Teams and the impact that they have on workflow efficiencies, specifically in the creative industry. In a novel time where Covid-19 virus has increased the demand of digital platforms, the importance of research within remote meeting utilization, and the interaction possibilities within, is of utter importance. Also, since we are missing out on the spontaneous interactions that occur when meeting face-to-face, the microinteractions within digital meeting platforms now carry a heavier weight when interactions are solely occuring remotely. The data collection was achieved through a qualitative approach consisting of participant observations and semi-structured interviews. The results of this research proved that microinteractions are used frequently within digital meetings in Microsoft Teams, but in different contexts and in different constellations. The results also identified that microinteractions, which hold the right conditions, can streamline workflows in certain scenarios. This study concluded in interesting data that answered the research questions but also opened up for further research due to the topic being of a novel field and in a special time, in this case referring to the pandemic and Covid-19.
Capítulos de livros sobre o assunto "Workflow efficiencies":
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Fredrickson, Joel. "Billing and Review Perspectives in Healthcare". In Theory and Practice of Business Intelligence in Healthcare, 18–67. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2310-0.ch002.
Resumo:
The relatively recent and more pervasive retention of electronic healthcare data has provided new opportunities for the advancement of analytics and business intelligence tools within healthcare. The tasks comprising the delivery process for healthcare provide numerous points for data capture, and associated analyses to improve efficiencies and quality of care. In general, healthcare data is extracted from transaction-based systems designed for billing, scheduling, and workflow. However, data characterizing medical events can be further leveraged to assist in the diagnosis and treatment of patients. In fact, healthcare information technology (HIT) to improve patient diagnosis and treatment is remarkably neglected. This chapter outlines the process flow for healthcare delivery, describes the data extracted during this process flow, details the enablers and inhibitors of HIT and accompanying analytics, presents concerns about data integrity and quality, and provides some methods for data cleansing and staging.
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Isenmann, Ralf. "Progression in Corporate Sustainability Reporting". In Corporate Environmental Management Information Systems, 289–317. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-981-1.ch018.
Resumo:
In corporate reporting, greater internet use, reports available on the world wide web (WWW) and movements towards a more balanced reporting approach have become the most noticeable trends since the inception of sustainability reporting in the late 1980’s and early 1990’s. While early sustainability reports merely have been available on print media, today most are accessible on the WWW as HTML (Hypertext Markup Language) files. Such a layout oriented data format, however, does not seem to be sufficient any longer, especially in terms of content-syndication, harmonization, efficiencies, future ICT requirements, stakeholders’ reporting expectations, and data exchange, be it inside and outside the companies. Hence, reference architecture for sustainability reports built on XBRL (eXtensible Businesses Reporting Language) is proposed. This development is based on a research initiative embedded in the German Environmental Informatics community. The proposed document structure within the reference architecture particularly meets the requirements of the Global Reporting Initiative’s (GRI) sustainability reporting guidelines (G3). While developing the document structure, an existing XBRL FRTA (Financial Reporting Taxonomies Architecture) - common for business financial reporting- was used. Such a unifying document structure is a key for advanced reporting systems, particularly for current ICT applications like (web) content management systems. Using the reference architecture offers an impressive array of benefits, e.g. it helps: to facilitate data exchange between reporters and report users, to improve a company’s information management, to support its reporting workflow, and to refine communication with its target groups in a meaningful way.
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"Analyzing Workflows and Realizing Efficiencies for Serials Processing". In Managing the Transition from Print to Electronic Journals and Resources, 288–303. Routledge, 2008. http://dx.doi.org/10.4324/9780203889411-25.
Trabalhos de conferências sobre o assunto "Workflow efficiencies":
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Crawford, Mark L., e Rick Morneau. "Accelerating Progress Toward Achieving Digital-Oilfield Workflow Efficiencies". In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/134107-ms.
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Nye, Rebecca, Camilo Mejia e Evgeniya Dontsova. "Real Time Cloud-Based Automation for Formation Evaluation Optimization, Risk Mitigation and Decarbonization". In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205402-ms.
Resumo:
Abstract Recent developments in artificial intelligence (AI) have enabled upstream exploration and production companies to make better, faster and accurate decisions at any stage of well construction, while reducing operational expenditure and risk, increasing logistic efficiencies. The achieved optimization through digitization at the wellsite will significantly reduce the carbon emissions per well drilled when fully embraced by the industry. In addition, an industry pushed to drill in more challenging environments, they must embrace safer and more practical methods. An increase in prediction techniques, to generate synthetic formation evaluation wellbore logs, has unlocked the ability to implement a combination of predictive and prescriptive analytics with petrophysical and geochemical workflows in real time. The foundation of the real time automation is based on advanced machine learning (ML) techniques that are deployed via cloud connectivity. Three levels of logging precision are defined in the automated workflow based on the data inputs and machine learning models. The first level is the forecasting ahead of the bit that implements advanced machine learning using historical data, aiding proactive operational decisions. The second level has improved precision by incorporating real time drilling measurements and providing a credible contingency to for wellbore logging program. The last level incorporates petrophysical workflows and geochemical measurements to achieve the highest precision for logging prediction in the industry. Supervised and unsupervised machine learning models are presented to demonstrate the path for automation. Precision above 95% in the real time automated workflows was achieved with a combination of physics and advanced machine learning models. The automation of the workflow has assisted with optimization of logging programs utilizing technology with costly lost in hole charges and high rate of tool failures in offshore operations. The optimization has reduced the requirement for logistics associated with logging and eliminated the need for radioactive sources and lithium batteries. Highest precision in logging prediction has been achieved through an automated workflow for real time operations. In addition, the workflow can also be deployed with robotics technology to automate sample collection, leading to increased efficiencies.
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Trow, Ian. "Balancing New and Old, Multi-Channel Encoders Delivering MPEG-2 and MPEG-4 AVC Workflow Efficiencies". In SMPTE Technical Conference. IEEE, 2009. http://dx.doi.org/10.5594/m001324.
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Karim, Anak, Hairulirwan Abu Hassan, Sayyid M Izdihar Muslimin, Roberto Fuenmayor, Ammar Kamarulzaman e Mohamad Mustaqim Mokhlis. "Value Tracking Thru Digital Fields Countrywide Solution Big Data Analytics Project". In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31046-ms.
Resumo:
Abstract The Digital Field initiative is transforming the daily operations on the oilfield and it is now part of PETRONAS corporate wide digital strategy. This transformation is done by onboarding multiple disciplines such as subsurface team, facilities, and operations, HSSE and Business Planning and is designed to replicates the performance of an oilfield in the computer, combining business process management and technical workflows. Digital Field has enabled the customer to execute their work collaboratively, by providing decision support system (technical workflows and business process management tools) subsequently improving their process efficiencies and optimizing their production. It is believed that by conducting a systematic review of the improvement and tracking the values that has been achieved, it will help to promote and accelerate digital adoption faster. The main objectives of the Automated Value Tracking are: To promote opportunity generation through collaborative environment. To track stages of every opportunity of the following categories of Production Optimization, Unplanned Deferment and Process Cycle Efficiencies. To quantify values associated with opportunities generated from automated workflows and current business process. To promote ownership of the actions associated with the assigned opportunity and to help to quantify on individual level contribution to the corporate goal in terms of production volume and time savings. To measures optimized number of opportunities generated against production volume associated with Production Optimization activity according to Field category and Quality of Opportunity Generated from Optimization Advisor. The process is summarized as follow: Opportunity generation: Automated opportunity generation generated through current Production Optimization Advisory framework. Integration with existing Petronas business process tools i.e. Daily Operational Tracking System, Alpha projects, Opportunity Management system, etc. Manual opportunity generation. Opportunity evaluation and analysis: Provide quantitatively confidence level of production incremental volume from automated Optimization Advisory through machine learning. Establish relationship between numbers of opportunity completed and categories versus production volume gain. Opportunity tracking and approval: Tracking the opportunity generation according to the process level. Escalating Opportunity and value recognition through business process approval. This workflow helps to improve to understand the current update of the different levels such as well, field, region and upstream with the help of integrating the value realization and allows "cards" to show information that can trigger opportunities to increase production, reduce time of decision and fast action.
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Bimastianto, Paulinus, Hamdan AlSaadi, Shreepad Khambete, Michael Cotten, Erwan Couzigou, Adel Al-Marzouqi, Bertrand Chevallier, Ahsan Qadir e Wiliem Pausin. "Drilling Efficiency Benchmarking Tool: Developing A Drilling Performance Measure Combining Data Science and Statistical Approach". In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/202121-ms.
Resumo:
Abstract Majority of organizations endeavor to reduce operating costs and improve operational efficiencies. The concept of Mechanical Specific Energy (MSE) has long been implemented in the industry to improve drilling performance. The Drilling Real time Operations Center (RTOC) has taken the concept of MSE beyond its traditional approach by developing a Drilling Performance Measure combining data science and statistics to benchmark drilling efficiency. To extract maximum value from the available database, a workflow was developed to construct a Drilling Efficiency Benchmarking Tool. The different steps will be described for performing the data ingestion, cleansing, selection (offset well selection), methodology of computing the statistical model for MSE baseline per Formations and visualization of the output (charts and logs), to compare the actual MSE with baseline and thereby measuring the performance efficiency. The offset wells analysis results show that the workflow can construct an MSE baseline using high frequency data in a meaningful way, which is then set as a target envelope and projected through the real-time platform for monitoring and intervention purposes. This implementation of real-time MSE benchmarking helps identify the area of potential improvement, optimize drilling parameters to ultimately improve ROP and minimize lost time. As an analytical tool, it highlights achievable performance for each field and provide insights to consider new Best Practices.
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Xia, Xiaoyang, Eric Nelson, Dan Olds, Larry Connor e He Zhang. "An Integrated Workflow for Reserves Evaluation in the U.S. Permian Basin Based on SPEE Monograph 3". In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206362-ms.
Resumo:
Abstract In 2011, the Society of Petroleum Evaluation Engineers (SPEE) published Monograph 3 as an industry guideline for reserves evaluation of unconventionals, especially for probabilistic approaches. This paper illustrates the workflow recommended by Monograph 3. The authors also point out some dilemmas one may encounter when applying the guidelines. Finally, the authors suggest remedies to mitigate limitations and improve the utility of the approach. This case study includes about 300 producing shale wells in the Permian Basin. Referring to Monograph 3, analogous wells were identified based on location, geology, drilling-and-completion (D&C) technology; Technically Recoverable Resources (TRRs) of these analogous wells were then evaluated by Decline Curve Analysis (DCA). Next, five type-wells were developed with different statistical characteristics. Lastly, a number of drilling opportunities were identified and, consequently, a Monte Carlo simulation was conducted to develop a statistical distribution for undeveloped locations in each type-well area. The authors demonstrated the use of probit plots and demonstrated the binning strategy, which could best represent the study area. The authors tuned the binning strategy based on multiple yardsticks, including median values of normalized TRRs per lateral length, slopes of the distribution lines in lognormal plots, ratios of P10 over P90, and well counts in each type-well category in addition to other variables. The binning trials were based on different geographic areas, producing reservoirs, and operators, and included the relatively new concept of a "learning curve" introduced by the Society of Petroleum Engineers (SPE) 2018 Petroleum Resources Management System (PRMS). To the best of the authors’ knowledge, this paper represents the first published case study to factor in the "learning curves" method. This paper automated the illustrated workflow through coded database queries or manipulation, which resulted in high efficiencies for multiple trials on binning strategy. The demonstrated case study illustrates valid decision-making processes based on data analytics. The case study further identifies methods to eliminate bias, and present independent objective reserves evaluations. Most of the challenges and situations herein are not fully addressed in Monograph 3 and are not documented in the regulations of the U.S. Security and Exchange Commission (SEC) or in the PRMS guidelines. While there may be differing approaches, and some analysts may prefer alternate methods, the authors believe that the items presented herein will benefit many who are starting to incorporate Monograph 3 in their work process. The authors hope that this paper will encourage additional discussion in our industry.
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Patil, Ravindra M., P. V. Murthy, Kutbuddin Bhatia, Mayur Deshpande e Karan Pande. "Implementation of Multistack Sand Exclusion Methodology in Extremely Unconsolidated Wells: Learnings from Marginal Daman Field, Western Offshore India". In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21310-ms.
Resumo:
Abstract The Daman marginal field is a prolific gas-producing clastic field with highly unconsolidated Paleo-Miocene sandstone formations and a wide variety of lithologies across multistack sand layers. As such, high-rate water packs (HRWPs) are the ideal completion method in many Mumbai fields. Because multistack reservoirs require good zonal isolation, and to prevent crossflow between reservoirs with different pressure regimes, multistack sand exclusion (MSSE) methodology was selected for primary well completions with minimum rig time and a high degree of treatment placement accuracy. From an operational standpoint, exploiting these layers using this method means more control points can be achieved across these heterogeneous layers, and the MSSE completion is ideal for multiple applications in a shorter period, helping sustain sand-circumscribed gas production from these unconsolidated layers. During the design phase, grain-size distributions and core study defined the sand range from generally clean, coarse, and sorted to poorly sorted, with high-fines content and clay rich. To address the unique challenges of deep offshore operations, formation technical difficulties, high-stakes economics, and the significant untapped potential from these Daman sands, the MSSE approach was designed and implemented in this field. Historically, for multistack wells, an HRWP is performed zone by zone whereby the process of sump packer installation, perforation run, deburr run, screen assembly installation, and pumping is repeated for each zone. In Well A, the MSSE system was applied without any repetition and all in one phase. All layers were perforated and positively isolated. Each interval was individually opened for the HRWP treatment using a low-friction low-residue carrier fluid. Using a high-packing-factor proppant at a higher rate, the well was treated sequentially from the bottom of the interval to the top. Many marginal fields in this basin have become uneconomical because of the high cost and complexity of sand control methodology. Therefore, reducing costs and time becomes vital to help ensure economic viability, as well as achieving significant operational efficiencies. Additionally, reducing near-wellbore (NWB) mechanical skin and ensuring good productivity from the reservoir are among the major solutions when implementing an MSSE completion. The methodology adopted significantly helped reduce expenditures by standardizing completion design, simplifying the core complexity, and enhancing overall reliability and operational efficiency. The optimized engineering workflow was fit for purpose, rather than the conventional “cookie-cutter” method to address sanding propensity in this field. This paper discusses the cutting-edge MSSE completion systems that focused on downhole completion and modifications for pumping operations. Additionally, the paper reviews challenges addressed during this campaign, workflow adapted, detailed strategy success factors, and positive results obtained during evaluation. This has helped reduce potential risks and improve reliability and performance, which can act as best practices and can be applied within similar fields.
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Seeley, Charles, Sunil Patil, Andy Madden, Stuart Connell, Gwenael Hauet e Laith Zori. "Hydro Francis Runner Stability and Forced Response Calculations". In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90456.
Resumo:
Abstract Hydroelectric power generation accounts for 7% of the total world electric energy production. Francis turbines are often employed in large-scale hydro projects and represent 60% of the total installed base. Outputs up to 800 MW are available and efficiencies of 95% are common. Cost, performance, and design cycle time are factors that continue to drive new designs as well as retrofits. This motivates the development of more sophisticated analysis tools to better assess runner performance earlier in the design phase. The focus of this paper is to demonstrate high fidelity and time-efficient runner damping and forced response calculations based on one-way fluid-structure interaction (FSI) using loosely coupled commercial finite element analysis (FEA) and computational fluid dynamics (CFD) codes. The runner damping is evaluated based on the work done by the fluid on the runner. The calculation of the work first involves determining the runner mode shapes and natural frequencies using a cyclic symmetric FEA model with structural elements to represent the runner hardware, and acoustic fluid elements to represent the mass loading effect of the fluid. The mode shapes are then used in a transient CFD calculation to determine the damping which represents the work done by the fluid on the runner. Positive damping represents stability from flutter perspective while negative damping represents unstable operating conditions. A transient CFD calculation was performed on a runner to obtain engine order forcing function from upstream stationary vanes. This unsteady forcing function was mapped to the FEA model. Care is taken to account for the proper inter-blade phase angle on the cyclic symmetric model. The hydraulic damping from flutter calculations was also provided as input to the forced response. The forced response is then determined using this equivalent proportional damping and modal superposition of the FEA model that includes both the structural and acoustic elements. Results of the developed analysis procedure are presented based on the Tokke runner, that has been the basis of several studies through the Norwegian HydroPower Center. Unique features of the workflow and modeling approaches are discussed in detail. Benefits and challenges for both the FEA model and the CFD model are discussed. The importance of the hydraulic damping, that is traditionally ignored in previous analysis is discussed as well. No validation data is available for the forced response, so this paper is focused on the methodology for the calculations.
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Adeola, Olatunji, Kolby Burmaster, Michael Phi, Shaun Arnold, Alexander Robinson e Jackson Klein. "Drilling Execution and Completion Advancements Continue to Deliver for Guyana". In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31230-ms.
Resumo:
Abstract The ExxonMobil Wells organization, along with Hess Guyana Exploration Limited and CNOOC Petroleum Guyana Limited, executed a successful multi-rig campaign to achieve First Oil on the Liza Phase 1 project ahead of schedule, utilizing advanced deepwater completion technologies to deliver highly productive wells. Considering the sizable resource offshore Guyana, strategic partnerships have been established with drilling contractors and other service providers to build economies-of-scale. ExxonMobil's prior global experience is actively being leveraged in rig selection and well design. Standardization, both above and below the rotary, has allowed for increased flexibility on current and future well execution, maintaining optionality to rapidly adjust project pace. A deliberate contracting strategy with established rig providers has also opened access to top tier rigs with reduced procurement timelines, providing flexibility with total rig count and capability. With an integrated team approach focused on simulataneous operations (SIMOPS) mitigation, rig movements have been optimized within the field to prioritize the highest value work and streamline project delivery. Effective schedule integration with multiple drilling rigs and installation vessels has reduced SIMOPS downtime during Phase 1 project execution. Additionally, batch rig operations have allowed the team to capitalize on operational efficiencies. A combination of these factors led to on-time well delivery and helped the project achieve aggressive First Oil milestones. The team has implemented innovative technologies to maximize value and well reliability, including the following: integrated geosteering workflows, with Azimuthal Ultra-Deep Resistivity (AUDR), enabling maximum reservoir penetrations; a suite of low equivalent circulating density (ECD) drilling fluids that enable the drilling of narrow-margin, highly deviated wells; ExxonMobil's patented NAFPac™ openhole gravel pack technology and autonomous inflow control devices (AICDs) on stand-alone-screen completions to increase well life and reliability; and remotely operated vehicle (ROV) based tree intervention control systems and ROV actuated suspension valves allowing for offline installation of subsea trees. Additionally, the team implemented the first floating application of the NOVOS™ automated slip-to-slip drilling system. NOVOS™ has been coupled with an automated drilling advisory system (AutoDAS) and data analytics environments for continuous performance improvement. The production wells that were delivered for Liza Phase 1 have highly productive, low-skin completions averaging over 900 m in length and production rates in excess of 30 kbd/well. Advancements in completion technology and efficiency proven on Liza Phase 1 are being extended into Phase 2 development and beyond, providing additional reservoir management capability. Lastly, ExxonMobil's commitment to Guyana extends to its people. Guyanese personnel have benefitted from significant training provided by ExxonMobil and sub-contractors, and Guyanese Nationals represented approximately 40% of the workforce involved in Wells-related activities at the end of 2020.