Qualification and In-Service Performance of an Additively Manufactured Oilfield Pump Impeller

2021 ◽  
Author(s):  
Robert Rettew ◽  
David Griffiths ◽  
Robin Rettberg

Abstract This article will outline the development, qualification, and in-field service trial of an additively manufactured 316 stainless steel pump impeller in chloride-containing water service for approximately 9 months. The pump impeller was manufactured by a hybrid directed energy deposition (DED) process. The novel process combines 5-axis DED and machining in one setup which brings significant reductions in lead time and other flexibility when compared to conventional manufacturing methods. Further benefits and challenges will be outlined. Qualification test results including mechanical properties, corrosion resistance, and select micrographs of the material will be shown. A post-service analysis of the performance of the component is also provided. Discussion of the applicability of 3D printing to end users, creating value in rapid component delivery and innovation, is included. A forward-looking assessment of the next steps for impeller design and manufacturing with additive manufacturing is also included.

Author(s):  
Hari Wahyudi

This study aimed to investigate the influence of accounting information systems and technology to service performance information on the public sector. Samples in this study were RS. M. Djamil in Padang, PLN, PDAM in Padang and taken at random (purposive sampling). Of the 122 questionnaires had been distributed only 85 questionnaires could be processed. Test Equipment used to test the validity of this study is the test, Test Reliability, Test for multicollinearity, coefficient Determination Test, and the t test, results of this study are: (a) The first hypothesis tests can be concluded that the accounting information systems has significant influence on performance in service sector public. (2) Information technology does not significantly influence the performance of services in the public sector.


Author(s):  
Daniel Andres Rojas Perilla ◽  
Johan Grass Nuñez ◽  
German Alberto Barragan De Los Rios ◽  
Fabio Edson Mariani ◽  
Reginaldo Teixeira Coelho

Author(s):  
Douglas Spangler ◽  
Hans Blomberg ◽  
David Smekal

Abstract Background The novel coronavirus disease 2019 (Covid-19) pandemic has affected prehospital care systems across the world, but the prehospital presentation of affected patients and the extent to which prehospital care providers are able to identify them is not well characterized. In this study, we describe the presentation of Covid-19 patients in a Swedish prehospital care system, and asses the predictive value of Covid-19 suspicion as documented by dispatch and ambulance nurses. Methods Data for all patients with dispatch, ambulance, and hospital records between January 1–August 31, 2020 were extracted. A descriptive statistical analysis of patients with and without hospital-confirmed Covid-19 was performed. In a subset of records beginning from April 14, we assessed the sensitivity and specificity of documented Covid-19 suspicion in dispatch and ambulance patient care records. Results A total of 11,894 prehospital records were included, of which 481 had a primary hospital diagnosis code related to-, or positive test results for Covid-19. Covid-19-positive patients had considerably worse outcomes than patients with negative test results, with 30-day mortality rates of 24% vs 11%, but lower levels of prehospital acuity (e.g. emergent transport rates of 14% vs 22%). About half (46%) of Covid-19-positive patients presented to dispatchers with primary complaints typically associated with Covid-19. Six thousand seven hundred seventy-six records were included in the assessment of predictive value. Sensitivity was 76% (95% CI 71–80) and 82% (78–86) for dispatch and ambulance suspicion respectively, while specificities were 86% (85–87) and 78% (77–79). Conclusions While prehospital suspicion was strongly indicative of hospital-confirmed Covid-19, based on the sensitivity identified in this study, prehospital suspicion should not be relied upon as a single factor to rule out the need for isolation precautions. The data provided may be used to develop improved guidelines for identifying Covid-19 patients in the prehospital setting.


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