Integrated Technologies Ensuring Integrity Throughout the Facility Lifecycle

2021 ◽  
Author(s):  
Aarti Dange ◽  
George Varghese ◽  
Hossam Mesbah

Abstract Objective/Scope Integrity of the wells and facilities is planned right from the reservoir development phase. In the pilot phase all the contributing parameters are collected and considered in the design of the production facilities. As the corrosion/erosion is very important aspect to determine the operating condition and the metallurgy of the facilities/completion, due consideration must be given to the technologies helping the infrastructure planning. However, once the production begins, the real time corrosion monitoring is essential as the reservoir produces from multiple zones along with solids during the complete lifecycle. The sand erosion aggravates the corrosion and can cause leaks around the wellheads and areas with changes in cross section. There are several processes such as inhibitor dosage, chemical treatment are performed from the startup and continued throughout the pilot. The paper covers integrated technologies to minimize the risk of corrosion damages by providing predictive analytics for corrosion and erosion impact. This includes chemical injection system, trace detector, non-intrusive corrosion monitoring, sand detector technologies as a holistic solution and best practice for ensuring asset integrity. Methods, Procedures, Process With the given information on the fluid corrosivity, the corrosion inhibitor and its dosing rate gets identified. Continous injection leads to the formation of a thin film on the entire system which need to be protected. However, many times the dosage is not optimized often leading to over injection or under injection of the chemicals. The injection rate is important to be monitored and optimized with a Realtime corrosion monitoring and gauging the impact on the asset integrity. The non-intrusive easy to install Realtime corrosion monitoring probe can provide real time monitoring for all the above requirements and in remote locations inaccessible during inspection A tracer is added to the chemicals to identify the residual through the tracer meter, which is hooked up with the chemical injection system, to optimize the set dosing rate. The corrosion monitoring system is in a corrosion prone location where the highest corrosion rate is expected to optimize the dosage. The sand detector can be considered in case we are producing from unconsolidated sand reservoir. This helps to identify erosion and where more sand is expected. Results, Observations, Conclusions Integrating all these technologies helps optimize the chemical used by around 20% and maximize the lifetime for the integrity by 70%. Also, it predicts potential failures in the system. As the data is stored and accessed from different locations, the organization will have a better control on the full integrity which lead to better design and alternating the corrosion inhibitor without any risk on the integrity. However, the combined technologies will be high CAPEX, but it will save a lot of OPEX on the long run which is demonstrated in the paper and will provide a good historical data for the field development and overall production enhancement

2020 ◽  
Author(s):  
Andrew Georgiou ◽  
Julie Li ◽  
Christopher Pearce ◽  
Adam McLeod ◽  
Nasir Wabe ◽  
...  

Abstract Background: Health systems around the world have been forced to make choices about how to prioritise care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary health care has moved into the frontline as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to utilise near real-time electronic general practice data to promote effective care and best-practice policy. Methods: The project will utilise a design thinking approach involving all collaborators (Primary Health Networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilising near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020 – December 2021) using data from over 350 general practices within three Victorian Primary Health Networks (PHNs) and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. Discussion: Developed using a design thinking approach, this project will deliver: 1) A near real-time geo-spatial reporting framework at community, state and nation-wide levels to identify emerging trends and monitor the impact of interventions/policy decisions. 2) Timely evidence about the impact of the COVID-19 pandemic related to its diagnosis, treatment and medications prescribed and its impact on patients. 3) A predictive geo-spatial analytics dashboard for timely, evidence-based decision-making at community, state and nation-wide levels. 4) An evidence-based suite of general practice outcome measures to monitor incidence, prevalence, recovery and mortality in response to the COVID-19 pandemic.


2021 ◽  
Author(s):  
Andrew Georgiou ◽  
Julie Li ◽  
Christopher Pearce ◽  
Adam McLeod ◽  
Nasir Wabe ◽  
...  

Abstract Background: Health systems around the world have been forced to make choices about how to prioritise care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary health care has moved into the frontline as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to utilise near real-time electronic general practice data to promote effective care and best-practice policy. Methods: The project will utilise a design thinking approach involving all collaborators (Primary Health Networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilising near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020 – December 2021) using data from over 350 general practices within three Victorian Primary Health Networks (PHNs) and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. Discussion: Developed using a design thinking approach, this project will deliver: 1) A near real-time geo-spatial reporting framework at community, state and nation-wide levels to identify emerging trends and monitor the impact of interventions/policy decisions. 2) Timely evidence about the impact of the COVID-19 pandemic related to its diagnosis, treatment and medications prescribed and its impact on patients. 3) A predictive geo-spatial analytics dashboard for timely, evidence-based decision-making at community, state and nation-wide levels. 4) An evidence-based suite of general practice outcome measures to monitor incidence, prevalence, recovery and mortality in response to the COVID-19 pandemic.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Maria Kopsakangas-Savolainen ◽  
Rauli Svento

Production structure in markets with a significant role of hydropower is sensitive to the production profile of hydropower. In this paper we utilize a long-run oriented real-time price based simulation model to analyze through scenarios the impact of different hydropower production profiles on the total annual energy consumed, prices, and capacity structure. We also show the relation between different hydropower production profiles and emissions, costs, and windfall profits. There seems to be no superior scenario under which all socially desirable goals are achieved as there is a clear tradeoff between allowing high windfall profits with highest cost efficiency and achieving the target for lower emissions.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Andrew Georgiou ◽  
Julie Li ◽  
Christopher Pearce ◽  
Adam McLeod ◽  
Nasir Wabe ◽  
...  

Abstract Background Health systems around the world have been forced to make choices about how to prioritize care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary healthcare has moved into the front line as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to examine the feasibility of using near real-time electronic general practice data to promote effective care and best-practice policy. Methods The project will utilize a design thinking approach involving all collaborators (primary health networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilizing near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020–December 2021) using data from over 450 general practices within three Victorian PHNs and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. Discussion The project will be developed using a design thinking approach, leading to the building of a meaningful near real-time COVID-19 geospatial reporting framework and dashboard for decision-makers at community, state and nationwide levels, to identify and monitor emerging trends and the impact of interventions/policy decisions. This will integrate timely evidence about the impact of the COVID-19 pandemic related to its diagnosis and treatment, and its impact across clinical, population and general practice levels.


Author(s):  
Laura Gabriela Istudor

Abstract The evolution of entrepreneurship in the cultural and creative sectors leads to social innovation by creating new jobs intended for the creative class and by building a long-run smart, sustainable and inclusive local development. Innovation and sustainability are concepts that can be applied to many industries, and they can involve numerous improvements related but not limited to processes, products, services, logistics. This paper supports the idea that the creative and cultural sectors can develop through innovative entrepreneurship, by introducing new methods of production, optimizing existing processes, improving the delivery methods or by developing new products or services, while also relying on the help of the government and smart organizations such as clusters. Since innovation involves improving the way of doing business, this paper will focus on identifying the available innovative methods that can be applied to the businesses activating in the cultural and creative sectors of the economy in Romania, together with the main challenges and opportunities that might arise by applying them. The perspectives of intellectual capital, creative economy and knowledge-based society in relation to the impact of innovation and entrepreneurship towards the development of the cultural and creative sectors in Romania will also be considered. The paper will also tackle a series of best practice examples of innovative businesses in the creative sectors, as well as a comparative analysis of the successfully implemented innovative ideas in this field of activity and their impact on the customer satisfaction and on the development of the local economy.


TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.


Author(s):  
Ruxandra Calapod Ioana ◽  
Irina Bojoga ◽  
Duta Simona Gabriela ◽  
Ana-Maria Stancu ◽  
Amalia Arhire ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 790-791
Author(s):  
Cunhyeong Ci ◽  
◽  
Hyo-Gyoo Kim ◽  
Seungbae Park ◽  
Heebok Lee
Keyword(s):  

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