Big Data IAOM Project Management and Workflow Automation in a Giant Gas Field Digitization Drive

2021 ◽  
Author(s):  
Ayesha Ahmed Abdulla Salem Alsaeedi ◽  
Manar Maher Mohamed Elabrashy ◽  
Mohamed Ali Alzeyoudi ◽  
Mohamed Mubarak Albadi ◽  
Sandeep Soni ◽  
...  

Abstract Integrated asset modeling, application of big data, and automation are among the top emerging trends in the oil and gas industry. The value associated with such implementation projects is very closely linked with the efficient use of the project management approach and a robust strategy to handle the technological challenges. This paper puts light on such initiatives implemented in a giant gas field. In this giant gas condensate field, a vast amount of data is generated and monitored on a daily basis. The frequent need to deliver the dynamic production target was driving this project implementation so that a value-driven system can be established while achieving the business KPIs. A phased approach was used to target multiple requirements into business deliverables where the early offline phases provided a robust base for full online integration. This project followed the agile approach focusing on getting insights from multiple stakeholders and domain experts and developing a lesson-learnt repository in all the project phases. The online integration solution is a critical differentiator in the workforce and process efficiency improvement. The multiple technical solution workflows helped in reducing manual efforts and streamlining the methodology in a standardized fashion. In addition, the standard project management practices, such as initializing the phases in a planned manner, followed by an interactive execution, monitoring, and controlling stages, ensured delivering project outcomes in an efficient way. This implementation also established a robust collaborative team effort to identify various different roles and responsibilities for stakeholders. This helped in the end phase when the project sustainability was essential. A strong team base maintained and updated the integrated system while delivering daily well and facility surveillance objectives and KPIs from users ranging from planning, engineering, operation, and management team. A special focus on IT team involvement throughout the project phase led to a successful data integration and diagnostic, as the core of the solution was a data-driven analytical framework integrated with multiple corporate and real-time data sources. In addition, this solution was equipped with various one-of-its-kind solution features such as business intelligence, advanced surveillance, dynamic-reservoir integration, manage-by-exception workflows, intelligence alerts, along with a strong digital framework and data architecture. The unique hybrid and agile project management approach focusing on delivering emerging trends and technologies to end-users in the most efficient way paved the way for achieving asset digitalization and standardization goals.

Author(s):  
Demetrios Sarantis ◽  
Yannis Charalabidis ◽  
Dimitris Askounis

The implementation of electronic Government projects in public sector organisations is a challenging task, due to technical, organisational and cultural specificities of the domain. Research shows that such IT projects have higher failure rates than similar approaches in the private sector, also indicating the lack of a method to transfer knowledge and apply best management practices in an effective way. The proposed management approach aims to recognise structure and reuse past successful attempts, in ways that support the overall viability of an e-Government project. After stating the fundamental principles of project management that apply to public sector IT projects, the authors present a conceptual model for e-Government project management, including entities such as dimensions, goals, activities, deliverables and roles that can be structured and adapted to cover all types of relevant projects in an out-of-the-box approach. This knowledge base of predefined project components can then be populated and utilised in making more informed decisions for effective project management of e-Government initiatives. This way, the proposed method supports public officials and practitioners in learning from past experience projects and in designing and running e-Government projects in a more systematic manner, thus, significantly increasing the likelihood of project success.


Author(s):  
George Leal Jamil ◽  
Luiz Fernando Magalhães Carvalho

Knowledge generation for Project Management (PM) is a critical modern issue. Projects are a complex, inter-related set of tasks that aim to provide a service or product in a controlled, managed way. In these scenarios, there is a continuous producing of data and information, which is a potential situation for Knowledge Management (KM) interaction. This chapter evaluates aspects and factors on how it is possible to process data and information, in order to generate applicable knowledge to improve project management. A specific consideration is to understand the observation of contexts of huge amounts of data—known nowadays as Big Data—and its potential knowledge generation for project management, as presented in the final study case. A better comprehension on how knowledge management practices, applied to Big Data contexts, can improve project management processes is the main objective in this chapter.


2016 ◽  
Vol 83 ◽  
pp. 576-583 ◽  
Author(s):  
Patrícia Franková ◽  
Martina Drahošová ◽  
Peter Balco

Author(s):  
John Kenny

Traditionally, project management practices have not drawn any distinction between the characteristics of different projects. Recent research has found that innovative projects require different project management approaches if quality outcomes are to be achieved. Projects involving more innovation require more open management processes and contain a higher percentage of academic and/or professional staff. These characteristics often apply to educational projects in tertiary institutions. There is conflict inherent in managing change projects in educational environments between the classical 'project management' approach and the way that academics and teaching staff, who are independent professionals, traditionally work. This study derived from experience at RMIT, where a system wide online learning system (the Distributed Learning System, DLS) has been implemented since 1999. The implications for the project management approaches suitable for educational projects are discussed and a typology is suggested to categorise projects within an organisation and link them to key factors for successful project management.


2016 ◽  
pp. 2019-2037
Author(s):  
George Leal Jamil ◽  
Luiz Fernando Magalhães Carvalho

Knowledge generation for Project Management (PM) is a critical modern issue. Projects are a complex, inter-related set of tasks that aim to provide a service or product in a controlled, managed way. In these scenarios, there is a continuous producing of data and information, which is a potential situation for Knowledge Management (KM) interaction. This chapter evaluates aspects and factors on how it is possible to process data and information, in order to generate applicable knowledge to improve project management. A specific consideration is to understand the observation of contexts of huge amounts of data—known nowadays as Big Data—and its potential knowledge generation for project management, as presented in the final study case. A better comprehension on how knowledge management practices, applied to Big Data contexts, can improve project management processes is the main objective in this chapter.


2010 ◽  
Vol 6 (3) ◽  
pp. 14-30 ◽  
Author(s):  
Demetrios Sarantis ◽  
Yannis Charalabidis ◽  
Dimitris Askounis

The implementation of electronic Government projects in public sector organisations is a challenging task, due to technical, organisational and cultural specificities of the domain. Research shows that such IT projects have higher failure rates than similar approaches in the private sector, also indicating the lack of a method to transfer knowledge and apply best management practices in an effective way. The proposed management approach aims to recognise structure and reuse past successful attempts, in ways that support the overall viability of an e-Government project. After stating the fundamental principles of project management that apply to public sector IT projects, the authors present a conceptual model for e-Government project management, including entities such as dimensions, goals, activities, deliverables and roles that can be structured and adapted to cover all types of relevant projects in an out-of-the-box approach. This knowledge base of predefined project components can then be populated and utilised in making more informed decisions for effective project management of e-Government initiatives. This way, the proposed method supports public officials and practitioners in learning from past experience projects and in designing and running e-Government projects in a more systematic manner, thus, significantly increasing the likelihood of project success.


2013 ◽  
Vol 7 (1) ◽  
pp. 5-22 ◽  
Author(s):  
Thommie Allan Burström ◽  
Mattias Jacobsson ◽  
Timothy L. Wilson

Purpose – The purpose of this paper is to describe and analyze service management practices within a project management context. Design/methodology/approach – This research supporting conceptual developments was both exploratory and qualitative in nature and utilized an in-depth case study of a major product development project. Findings – The conceptual framework developed is applied to empirical observations of product development project. Because there is an adequate fit with observations, elements of a service management approach appear to be viable in the description, managing, and control of projects. Research limitations/implications – Because the research was built on a case study, one has the limitations common with that approach. Conversely, case studies are acknowledged as useful in the identification of important variables in situations in which there is little control over events in a real-world context. Practical implications – Customer satisfaction is a requirement of project organizations, which is an inherent requisite of any service organization. Consequently, one turns to those elements in the practice of service management that lead to best management practices. Originality/value – This paper contributes with a practice-based understanding of how project management is based on integrated service practice.


2020 ◽  
pp. 875697282095688
Author(s):  
Flávio Copola Azenha ◽  
Diane Aparecida Reis ◽  
André Leme Fleury

There is a trend of combining agile and traditional project management practices for technology-based product and service development in the search for more agility. Although there are, in the literature, hybrid models that propose combinations of traditional and agile approaches, there are no studies that discuss the impact of the adoption of this approach in organizations in practice. Consequently, guidance on the selection of the most appropriate project management approach has remained largely theoretical, rather than based on companies’ experiences. The objective of this research is to analyze how organizations that develop technology-based products and services apply hybrid approaches to project management, their characteristics, advantages, and disadvantages, conducting a literature review and multiple case studies as research methods. Results reveal that hybrid approaches to project management are currently fundamental for companies in order to deal with distinct organizational cultures, specific processes, customer contractual requirements, and project specificities. This study also led to a consolidated list of the characteristics of hybrid approaches to project management.


2009 ◽  
pp. 74-84
Author(s):  
Claude Besner ◽  
Brian Hobbs

THE PAPER EMPIRICALLY MEASURES THE INTERPLAY BETWEEN RISK MANAGEMENT AND UNCERTAINTY AND THE CONTEXTUAL VARIABILITY OF RISK MANAGEMENT PRACTICE. THE RESEARCH FIRST CLARIFIES THE CONCEPTS OF UNCERTAINTY, RISK AND RISK MANAGEMENT. THE RESEARCH DEFINES RISK MANAGEMENT FROM AN EMPIRICAL PERSPECTIVE I.E., FROM AN EMPIRICALLY IDENTIFIED SET OF TOOLS THAT IS ACTUALLY USED TO PERFORM RISK MANAGEMENT. THIS TOOLSET IS DERIVED FROM THE RESULTS OF AN ONGOING MAJOR WORLDWIDE SURVEY ON WHAT EXPERIENCED PRACTITIONERS ACTUALLY DO TO MANAGE THEIR PROJECTS. THIS PAPER USES A SAMPLE OF 1,296 RESPONSES FOR WHICH THE INTERPLAY BETWEEN RISK MANAGEMENT AND UNCERTAINTY COULD BE MEASURED. The results are very coherent. They verify and empirically validate many of the propositions drawn from a review of the literature. But results challenge some of the propositions found in the conventional project management literature and some commonly held views. The research shows that the use of risk management practices and tools is negatively related to the degree of project uncertainty. This somewhat counter-intuitive result is consistent with a general tendency for all project management tools and techniques to be used more intensively in better defined contexts. The dominant project management paradigm is oriented towards reducing or controlling uncertainty, but is less well adapted to unforeseeable events and high levels of uncertainty. A better understanding of the reality of the actual practice leads to a discussion about supplementing the current paradigm with new approaches to manage the uncertainty that cannot be removed or reduced by the conventional project management approach.


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