Improvement of Decision Making Cycle by Introduction of a Centralized Data Gathering System - Offshore field case from Turkmenistan

2015 ◽  
Author(s):  
R. Espinoza ◽  
I. Jaramillo Rivadeneira
Keyword(s):  
Decision Making ◽  
Data Gathering ◽  
Field Case ◽  
Offshore Field

Effective Improvements to Reliability Based Corrosion Management

2010 ◽  
Author(s):  
Shahani Kariyawasam ◽  
Warren Peterson
Keyword(s):  
Decision Making ◽  
Oil And Gas ◽  
Data Gathering ◽  
Effective Area ◽  
The Face ◽  
Integrity Management ◽  
Reliability Methods ◽  
Specific Growth Rates ◽  
Safe Condition ◽  
Effective Use

Reliability methods have being adopted by oil and gas operators for integrity management decisions. These methods explicitly account for all relevant uncertainties and are designed to provide consistent safety. Consequently, a risk or reliability based approach is a very appropriate basis for decision making in the face of uncertainties. However, as in the effective use of any powerful methodology the sensitivities of the method to assumptions and limitations of applicability need to be well understood. This paper presents how improvements were made to reliability based integrity program by understanding its limitations and sensitivities. First the inputs that have the highest impact on the results were identified. These inputs are the most appropriate areas for improvement and data gathering. It is also very important to understand how the results are to be used and for what purpose. The results of this particular inline inspection based reliability assessment are used to make better excavation and repair decisions. A defect-based and joint-based decision making process is essential for determining with sufficient confidence if each defect and joint is in a safe condition. Consequently, the improvements are focused on discriminating between the myriad of defects found during an inline inspection run. Distinct field characteristics of corrosion growth are also taken into account in these improvements. The paper presents the implementation of effective area methods for future integrity probabilistic evaluations. It also describes the benefit of applying defect-specific growth rates. Finally, case studies are presented to demonstrate the effectiveness of the changes.

scholarly journals A Robotic Cognitive Architecture for Slope and Dam Inspections

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4579 ◽  
Author(s):  
Milena F. Pinto ◽  
Leonardo M. Honorio ◽  
Aurélio Melo ◽  
Andre L. M. Marcato
Keyword(s):  
Decision Making ◽  
Cognitive Architecture ◽  
Electrical Power ◽  
Data Gathering ◽  
Path Following ◽  
Sensors And Actuators ◽  
Construction Enterprises ◽  
Performance Quality ◽  
Human Operators ◽  
High Level

Big construction enterprises, such as electrical power generation dams and mining slopes, demand continuous visual inspections. The sizes of these structures and the necessary level of detail in each mission requires a conflicting set of multi-objective goals, such as performance, quality, and safety. It is challenging for human operators, or simple autonomous path-following drones, to process all this information, and thus, it is common that a mission must be repeated several times until it succeeds. This paper deals with this problem by developing a new cognitive architecture based on a collaborative environment between the unmanned aerial vehicles (UAVs) and other agents focusing on optimizing the data gathering, information processing, and decision-making. The proposed architecture breaks the problem into independent units ranging from sensors and actuators up to high-level intelligence processes. It organizes the structures into data and information; each agent may request an individual behavior from the system. To deal with conflicting behaviors, a supervisory agent analyzes all requests and defines the final planning. This architecture enables real-time decision-making with intelligent social behavior among the agents. Thus, it is possible to process and make decisions about the best way to accomplish the mission. To present the methodology, slope inspection scenarios are shown.

First Polymer Injection In Deep Offshore Field Angola: Recent Advances on Dalia/Camelia Field Case

2010 ◽  
Author(s):  
Danielle Christine Morel ◽  
Michel Vert ◽  
Stephane Jouenne ◽  
Renaud Rene Marc Gauchet ◽  
Yann Bouger
Keyword(s):  
Polymer Injection ◽  
Field Case ◽  
Recent Advances ◽  
Offshore Field

scholarly journals Policy-Related Decision Making in a Smart City Context: The PoliVisu Approach

2021 ◽  
pp. 63-72
Author(s):  
Yannis Charalabidis
Keyword(s):  
Decision Making ◽  
Smart City ◽  
Policy Making ◽  
Experimental Approach ◽  
Data Gathering ◽  
Daily Basis ◽  
Regional Level ◽  
Evidence Based ◽  
Data Sets ◽  
Evidence Based Decision Making

AbstractDealing with the growing quest for better governance, the advancement of ICT provides new methods and tools to politicians and their cabinets on an almost daily basis. In this changing landscape, the PoliVisu project constitutes a step forward from the evidence-based decision making, going towards an experimental approach supported by the large variety of available data sets. Through utilizing advanced data gathering, processing and visualisation techniques, the PoliVisu platform is one of the most recent integrated examples promoting the experimental dimension of policy making at a municipal and regional level.

scholarly journals COVID-19 Dashboard Experiences – Lessons learned

2020 ◽  
Vol 2 ◽  
pp. 1-1
Author(s):  
Gerd Buziek
Keyword(s):  
Decision Making ◽  
Disaster Response ◽  
Data Dissemination ◽  
Data Gathering ◽  
Crisis Response ◽  
Lessons Learned ◽  
Spatiotemporal Patterns ◽  
Robert Koch Institute ◽  
Crisis Prevention ◽  
Decision Making Processes

Abstract. As of March 2020, Esri Germany administers the Berlin based Robert Koch-Institute official COVID-19 Dashboard (Figure 1). During Esri’s evolvement both, organizational and technical processes have had to be built from scratch. Our objective was to keep society, as well as the disaster response units 24/7 informed about the spatiotemporal patterns of Corona pandemic. To achieve this several challenges had to be overcome. These challenges ranged from data gathering to data dissemination, from the delivery of COVID-19 information to the general public, as well as to the crisis prevention teams, and from the communication to individuals as well as to various specialists such as data journalists. Having a COVID-19 dashboard online results in a lot of publicity to the provider, but also requires a lot of effort to deliver a reliable and sustainable COVID-19 service, as many external decision making processes depend on the dashboard and the data which drives it. This presentation is not only about how we provided this service but will also include a look at the lessons learnt and how we can be best prepared for future spatiotemporal phenomena to help crisis response and perhaps even prevention.

Water quality policies in the Brantas River Basin, Indonesia

2020 ◽  
Author(s):  
Maurits Ertsen
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
River Basin ◽  
Data Gathering ◽  
Water Quality Monitoring ◽  
River Management ◽  
River Basin Management ◽  
Limited Commitment ◽  
Monitoring Networks ◽  
Basin Management

<p>Over the past 20 years, river water quality in Indonesia has deteriorated enormously. Water quality deterioration continues to increase socio-economic inequality, as it are the most poor communities who live on and along the river. Women are comparatively highly impacted by failing water resources management, but their involvement in decision making processes is limited. As such, the uneven water quality related disease burden in Brantas River Basin widens the socio-economic gap between societal groups. In the Brantas region, cooperation and intention between stakeholders to tackle these issues is growing, but is fragile as well due to overlapping institutional mandates, poor status of water quality monitoring networks, and limited commitment of industries to treat their waste water streams. Currently, an Indonesian-Dutch consortium develops a project which is built on the premise that water problems of our world do not necessarily have to be only a cause of tension, but can also be a catalyst for cooperation. Cooperation is a process that needs active input from all concerned. As such, this project seeks to support a twinned learning process in which science is used to build a trusted information system for policy and decision making in Brantas river basin management. The project focuses on the close links between research processes of data gathering and monitoring and its relevance for societal and institutional actors within river basin management organizations. This twinning between policies and science aims to facilitate learning processes of basin authorities, societal stakeholders, companies and knowledge institutions, as they can profit from each other’s achievements, knowledge and experiences. One of the important issues for this new cooperative partnership is how to develop procedures and routines to monitor water quality in the Brantas river. Participatory data monitoring is among the prime requirements for sustainable river management. An additional dimension of the already challenging issue of data gathering in river management is how to deal with transdisciplinary issues in monitoring, measurements and measures, including research procedures and institutional setup.</p>

Triage Nurses Decision-Support Application Design

2018 ◽  
Vol 7 (1) ◽  
pp. 52-55 ◽  
Author(s):  
Tamari Levis ◽  
Dagan Schwartz ◽  
Yuval Bitan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Medical Condition ◽  
Data Gathering ◽  
Severity Index ◽  
Triage Decision ◽  
Planning And Design ◽  
Frequent Use ◽  
Current Design ◽  
Decision Making Model

In this paper, we will present the planning and design process of a triage decision-support application, aimed to be used for both research data gathering and real-time triage decision-making. Triage is an initial classification of emergency department (ED) patients, according to the severity level of their medical condition. The need of fast and accurate triage decision-making, lead to the development of widely used triage algorithms, such as ESI (Emergency Severity Index). Observations and interviews with triage personnel exposed difficulties of triage process and helped us create an ESI-based decision making model. Next, we built a multiple-choice questioner to characterize the application and required features. 40 triage nurses completed the questioner. Results indicated that the most highly requested feature was an automated severity grade calculator, which became the core of the proposed design. While current design focuses on the analytical decision model, statistical analysis of the questioner results indicated that it is often insufficient when facing medical reality complexities, dictating nurse’s frequent use of intuition. Using triage systems data analysis and modern machine-learning methodologies, we inspire to develop a second version of the application that will integrate intuitive insights into triage scale algorithmic decision process.

POTENTIAL PLACES OF REFUGE FOR SHIPS IN DISTRESS–THE CALIFORNIA APPROACH TO DEVELOPING DATA CAPTURE AND DECISION-MAKING PROCESSES

2008 ◽  
Vol 2008 (1) ◽  
pp. 1067-1070 ◽  
Author(s):  
Ellen Faurot-Daniels ◽  
Kelly Dietrich
Keyword(s):  
Decision Making ◽  
Coastal Area ◽  
Stakeholder Involvement ◽  
Data Gathering ◽  
Coast Guard ◽  
Decision Makers ◽  
Contingency Planning ◽  
Response Team ◽  
Decision Making Processes ◽  
Unified Command

ABSTRACT California'S coastal Area Contingency Planning Committees began the process to develop “California Distressed Vessel/Potential Places of Refuge (PPOR)” data-gathering and decision-making tools in July 2006. The first step in this process was for members of California'S statewide Area Contingency Plan (ACP) Committee to be open to the possibility they may allow a distressed vessels into their backyard. Next, they were challenged with representing non-situational data in a common data collection format for use by all six California coastal Area Committees. Modeled largely on the PPOR products developed in Alaska, the committee relied on the Regional Response Team IX Guidelines, and the Commandant Instruction (COMDTINST) 16451.9 U.S. Coast Guard Places of Refuge Policy Enclosure (2) (POR Job Aid) resources. Stakeholder involvement throughout this process helps to establish realistic expectations in advance and build trust between stakeholders and decision makers. The populated databases, located in the ACPs, will support incident-specific decision-making and risk assessment anywhere in California by any California Federal On-Scene Coordinator or Unified Command during an actual Places of Refuge (POR) event.

scholarly journals Pengambilan Keputusan sebagai Wirausaha Muda dan Faktor Eksternal yang Memengaruhinya di Institut Bisnis dan Informatika Stikom Surabaya

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Candraningrat Candraningrat
Keyword(s):  
Decision Making ◽  
Family Support ◽  
Sampling Method ◽  
Data Gathering ◽  
External Factors ◽  
Survey Method ◽  
Student Interest ◽  
Family Role ◽  
Business Faculty

lyze the influence of external factors consisting of family support and Business capital to the students decision-making at the Business Faculty of the Institut Bisnis dan Informatika Stikom Surabaya. The research was conducted from 42 students were taken by the purposive sampling method which were active students who own businesses or who are interested in entrepreneurship in the future, survey method used for data gathering with instrument questionnaire and analyzed by SPSSversion 21 to examine the research hypothesis. The result of multiple regression analysis showed that the variable family role and business capital is predicted to increase the student interest in entrepreneurship therefore the stated hypothesis 1 were accepted, but as partially the role of family able to increase the interest in entrepreneurship of the student, although that business capital not necessarily increase the interest of the students to entrepreneurship so the second hypothesis was rejected..

scholarly journals Dinâmica de participação social na construção coletiva de informação no campo museal: estudo de caso dos museus na Wikipédia no âmbito do Instituto Brasileiro de Museus | Dynamics of social participation in the collective construction of information in the museum field: case study of the museums in Wikipedia under the Brazilian Institute of Museums

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Dalton Lopes Martins ◽  
Danielle Do Carmo
Keyword(s):  
Present Article ◽  
Social Participation ◽  
Digital Humanities ◽  
Data Gathering ◽  
The Internet ◽  
Field Case ◽  
Collective Construction ◽  
Source Of Information ◽  
Production Of Information

RESUMO O presente artigo identifica e descreve dados relativos à dinâmica de participação coletiva e colaborativa na produção de informações sobre os museus brasileiros na Wikipédia. Utilizando como amostra os museus administrados diretamente pelo Instituto Brasileiro de Museus (Ibram), foi realizada a coleta de dados da Wikipédia utilizando o software XTools. Dessa forma o presente artigo busca demonstrar o potencial da Wikipédia como fonte de pesquisa, principalmente no que tange à produção de informações sobre os museus brasileiros na internet. Os resultados identificam que 20 museus possuem página na Wikipédia, tendo sido editadas por um total de 555 usuários que realizaram um total de 1.108 edições nas páginas. Identifica-se grande desigualdade na dinâmica de produção de informação nas páginas e uma expressiva rede de editores realizando ações de curadoria.Palavras-chave: Wikipédia; Museus Brasileiros; Fonte de Informação; Humanidades Digitais; Ibram.ABSTRACT This article identifies and describes data on the dynamics of collective and collaborative participation in the production of information about Brazilian museums on Wikipedia. Using as sample the museums administered directly by the Brazilian Institute of Museums (Ibram), the data gathering was carried out articles using the XTools software. In this way, the present article seeks to demonstrate the potential of Wikipedia as a source of research, especially in what concerns the production of information about Brazilian museums on the Internet. The results identify that 20 museums have a page on Wikipedia, having been edited by a total of 555 users who have made a total of 1.108 editions on the pages. It identifies great inequality in the dynamics of information production in the pages and an expressive network of publishers performing curatorial actions.Keywords: Wikipedia; Brazilian Museums; Source of Information; Digital Humanities; Ibram.

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