A Tool Supporting Architecture Principles and Guidelines in Large-Scale Agile Development

The current inclusion of agile methodologies in web-oriented projects has been considered on a large-scale by software developers. However, the benefits and limitations go beyond the comforts that project managers delimit when choosing them. Selecting a methodology involves more than only the associated processes or some documentation. Based on the above, we could define as the main concerns the approach with which we identify the methodology, the needs of the company, the size, and qualities of the project, and especially the characteristics of agile development that they possess. However, there are several difficulties in selecting the most appropriate methodology due to the features in common; Will it be suitable for my project? What challenges will be presented in the process? Will my team understand each stage? Will I be able to deliver software that satisfies the client? Project managers create these questions, which seem manageable but have huge effects. This paper presents a systematic literature review based on the analysis of the approaches of six web development methodologies. The aim of the study is to analyze the approaches presented by relevant methodologies, identifying their common agile characteristics and managing to contrast both its benefits and limitations during a project. As a result, we could itemize five common features, which are presented within the processes; (1) flexibility, (2) constant communication of the workgroup, (3) use of UML, (4) the inclusion of the end-user and (5) some documentation.

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Implementation of an Intelligent Drilling Automation System in the Middle East

Journal of Petroleum Technology ◽

10.2118/0221-0045-jpt ◽

2021 ◽

Vol 73 (02) ◽

pp. 45-46

Author(s):

Judy Feder

Keyword(s):

Middle East ◽

Large Scale ◽

Middle Eastern ◽

Abu Dhabi ◽

Agile Development ◽

Automation System ◽

Gas Field ◽

Implementation Challenges ◽

Gas Drilling ◽

Lump Sum

This article, written by JPT Technology Editor Judy Feder, contains highlights of paper SPE 203251, “Drilling in the Digital Age: Harnessing Intelligent Automation To Deliver Superior Well-Construction Performance in a Major Middle Eastern Gas Field,” by Brennan Goodkey, Gerardo Hernandez, and Andres Nunez, Schlumberger, et al., prepared for the 2020 Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, held virtually from 9-12 November. The paper has not been peer reviewed. While breakthroughs in digital technology have rewarded many industries with a step change in productivity and efficiency during the past decade, the drilling industry has yet to benefit on a large scale from these advances. The complete paper details the introduction of a drilling automation system (DAS) to deliver superior well-construction performance in a major gas field in the Middle East. The DAS was deployed on two onshore gas drilling rigs. The paper discusses the technology itself, the deployment process, implementation challenges, the agile development model, and the results achieved. Introduction In 2018, Schlumberger partnered with a major Middle Eastern national oil company on one of the world’s largest lump-sum, turnkey gas-well-delivery projects, where drilling operations had already been optimized by targeting high-impact, low-effort areas of opportunity. Drilling automation was pursued to achieve an improvement in performance, specifically to shift the technical limit and to minimize the frequency of service incidents that could cost days of nonproductive time (NPT). An in-house solution under development for some time was designed to take control of the rig’s surface equipment to automate and optimize most drilling tasks and to generate value in the following areas: Automation of drilling actions to perform exactly as planned, within the safe limits of operation, by eliminating the inconsistency of manual operation and its susceptibility to human factors Identification and mitigation of drilling dysfunctions that could lead to costly tool failures and incidents by using intelligence engines that would adapt drilling parameters continuously for best performance Technology Overview The DAS was developed as the execution component of a well-construction platform designed to link planning and execution. The planning component allowed for all well-design stakeholders to collaborate online and create the well plan simultaneously. Once prepared, the plan would be exported to the rig as a machine-interpretable digital drilling plan that the DAS could digest. With the validation of rig personnel, the DAS would then take control of a selection of drilling actions and execute exactly as instructed in the well plan. While drilling, extensive information would be collected to serve as a vehicle to drive performance when planning future wells. In the deployment summarized in the complete paper, a pilot version of the drilling automation module was deployed as a standalone product. The key objectives of design included three categories - dynamic planning, safety and resilience, and interoperability.

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Coordinating Knowledge Work in Multiteam Programs

Project Management Journal ◽

10.1177/8756972818798980 ◽

2018 ◽

Vol 49 (6) ◽

pp. 64-77 ◽

Cited By ~ 19

Author(s):

Torgeir Dingsøyr ◽

Nils Brede Moe ◽

Eva Amdahl Seim

Keyword(s):

Software Development ◽

Large Scale ◽

Development Program ◽

Knowledge Work ◽

Agile Development ◽

Development Projects ◽

Development Programs ◽

Knowledge Based ◽

Over Time

Software development projects have undergone remarkable changes with the arrival of agile development approaches. Although intended for small, self-managing teams, these approaches are used today for large development programs. A major challenge of such programs is coordinating many teams. This case study describes the coordination of knowledge work in a large-scale agile development program with 12 teams. The findings highlight coordination modes based on feedback, the use of a number of mechanisms, and how coordination practices change over time. The findings can improve the outcomes of large knowledge-based development programs by tailoring coordination practices to needs over time.

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