A Case Study on Project Realization Digitalization from the Domain Perspective

2021 ◽  
Author(s):  
Nurul Aminah Mohd Azmi ◽  
Grant Veroba ◽  
Muhammad Aizuddin Zainalabidin
Keyword(s):  
Design Thinking ◽  
Idea Generation ◽  
Lessons Learned ◽  
Process Efficiency ◽  
Field Development ◽  
Technical Requirements ◽  
Front End ◽  
Wide Range ◽  
Project Realization

Abstract This paper provides a Case Study in Front End Project Realization digitalization from the Domain perspective, with a focus on the methodology used, process enhancements that were enabled through automation, and lessons learned during the transformation. The transformation has been an iterative process, first focusing on digitalizing modules within the Front End work process and evolving into a multi-discipline integrated digital application. Along the journey, application of Agile project strategies enabled continuous enhancements to be identified and implemented through lessons learned, formal design thinking reviews, new idea generation and informal engagements with other disciplines commencing their digital journey. The process enhancements include: New Ways of Working to seamlessly integrate Front End technical and cost analytics engines, and across broader enterprise digital Field Development processes.New Sources of Insight to expand ideation using cross industry learnings, maximize use of extensive internal project data, and embedded Best in Class benchmarking. The Front End digitalization process identified significant value to stakeholders through increased pace of delivery, improved early concept definition with limited human intervention, increased cost accuracy, and increased confidence in the results through replication, improved data supply and benchmarking rigor. Specific value unlocks are seen across Front End Loading (FEL) i.e., pre-FEL to FEL-2 stages and will be presented. Through incorporation of enhanced data and insights, improved cost compression and decision-making quality has also been identified and subsequently will improve the project economics. A number of challenges through the transformation process were identified. These included: integration or replacement of legacy technical and cost applications; identifying and digitalizing a wide range of internal engineering tools and data sources needed for a comprehensive digital Front End process; efficiency of translating technical requirements to the digital team through comprehensive mapping of design and experienced-based rules; and re-shaping Front End technical focus from deliverable generation to targeted assurance, value obsession and risk management. While major focus has been on the integration of internal technical and cost applications, significant challenges were also identified in integration of external applications and Application Programming Interface (API) readiness to allow interaction between the applications and the Front End digital application i.e., Concept Factory. And finally, challenges in achieving a high performance team with the right balance of Domain, translators and programmers will be discussed.

Iterative modeling is as a tool for selecting a geological basis for hydrodynamic modeling and development design

2021 ◽  
pp. 111-126
Author(s):  
A. A. Agarkova ◽  
S. E. Shebankin ◽  
M. A. Tukaev ◽  
M. S. Karmazin
Keyword(s):  
Initial Data ◽  
Hydrodynamic Modeling ◽  
Usual Method ◽  
Gas Condensate ◽  
Digital Model ◽  
Geological Model ◽  
Field Case ◽  
Field Development ◽  
Wide Range

The usual method for constructing a digital model of a field is based on hydrodynamic modeling using the basic implementation of a geological model, usually requires additional adjustments to the initial data, and as a result, leads to a wide range of uncertainties in assessing the predicted technological indicators of field development. The PK1 reservoir of a gas condensate field case study discuss-es the method of iterative modeling, which makes it possible to comprehensively approach the assessment of possible uncertainties.

An Empirical Analog Benchmarking Workflow to Improve Hydrocarbon Recovery

2021 ◽  
pp. 1-18
Author(s):  
Shaoqing Sun ◽  
David A. Pollitt
Keyword(s):  
Best Practices ◽  
Lessons Learned ◽  
Production Performance ◽  
Resource Potential ◽  
Systematic Analysis ◽  
Hydrocarbon Recovery ◽  
Field Development ◽  
Development Scenarios ◽  
Recovery Potential ◽  
Wide Range

Summary Benchmarking the recovery factor and production performance of a given reservoir against applicable analogs is a key step in field development optimization and a prerequisite in understanding the necessary actions required to improve hydrocarbon recovery. Existing benchmarking methods are principally structured to solve specific problems in individual situations and, consequently, are difficult to apply widely and consistently. This study presents an alternative empirical analog benchmarking workflow that is based upon systematic analysis of more than 1,600 reservoirs from around the world. This workflow is designed for effective, practical, and repeatable application of analog analysis to all reservoir types, development scenarios, and production challenges. It comprises five key steps: (1) definition of problems and objectives; (2) parameterization of the target reservoir; (3) quantification of resource potential; (4) assessment of production performance; and (5) identification of best practices and lessons learned. Problems of differing nature and for different objectives require different sets of analogs. This workflow advocates starting with a broad set of parameters to find a wide range of analogs for quantification of resource potential, followed by a narrowly defined set of parameters to find relevant analogs for assessment of production performance. During subsequent analysis of the chosen analogs, the focus is on isolating specific critical issues and identifying a smaller number of applicable analogs that more closely match the target reservoir with the aim to document both best practices and lessons learned. This workflow aims to inform decisions by identifying the best-in-class performers and examining in detail what differentiates them. It has been successfully applied to improve hydrocarbon recovery for carbonate, clastic, and basement reservoirs globally. The case studies provided herein demonstrate that this workflow has real-world utility in the identification of upside recovery potential and specific actions that can be taken to optimize production and recovery.

scholarly journals A Case Study on Developing a Classroom Web Application Using Behavior-Driven Development

2013 ◽  
Vol 11 (3 and 4) ◽  
Author(s):  
Austin Vance ◽  
Trevor Cickovski
Keyword(s):  
Development Strategy ◽  
Software Design ◽  
Web Application ◽  
Design Methodology ◽  
Lessons Learned ◽  
General Applicability ◽  
Iterative Development ◽  
Wide Range ◽  
Two Sides

Behavior-Driven Development (BDD) is a software design methodology which bridges the developer-client gap by evolving software through communication between the two sides and shaping it to the goals of shareholders. As a recently published iterative development strategy, BDD is slowly being adopted as a software practice in a wide range of domains. We study the applicability of BDD to designing Narwhal, a classroom drawing application that mimics a combination of PowerPoint slides and whiteboard. Through this case study, we employ junior and senior seminar students as clients and view the effects of BDD on Narwhal’s evolution over a three-month period. We conclude with a discussion on the general applicability of BDD to the design of classroom tools following lessons learned from this case study.

scholarly journals Design Thinking to Reinvent Values in a Business Model: a 4-Step Approach Using Ideation Virtual Tools

2022 ◽  
Author(s):  
Elina Mikelsone ◽  
Inga Uvarova ◽  
Jean-Pierre Segers
Keyword(s):  
Business Model ◽  
Business Models ◽  
Design Thinking ◽  
Idea Generation ◽  
Management Approach ◽  
Case Study Method ◽  
Virtual Tools ◽  
Value Propositions ◽  
Idea Management

Abstract The purpose of this paper is to create and test design thinking approach sequence, to redefine the value proposition. This paper suggests a 4-step systematic design thinking approach sequence to reinvent values in a business model, which was researched by a case study method. Based on the idea management approach the authors describe idea generation and evaluation processes by applying the design thinking approach and their possible moderation elements. Originality/value: a created approach could be applied by the organisations that would like to create new values or reinvent the existing ones in their business models value propositions.

Development of a Mesh Generation Code with a Graphical Front-End

2012 ◽  
pp. 286-300
Author(s):  
Jeffrey Carver
Keyword(s):  
Programming Language ◽  
Mesh Generation ◽  
Language Choice ◽  
Lessons Learned ◽  
Development Environment ◽  
Requirements Evolution ◽  
Front End ◽  
Code Structure ◽  
Scientists And Engineers

Scientists and engineers are increasingly developing software to enable them to do their work. A number of characteristics differentiate the software development environment in which a scientist or engineer works from the development environment in which a more traditional business/IT software developer works. This paper describes a case study, specifically about the development of a mesh-generation code. The goal of this case study was to understand the process for developing the code and identify some lessons learned that can be of use to other similar teams. Specifically, the paper reports on lessons learned concerning: requirements evolution, programming language choice, methods of communication among teammates, and code structure.

MusicGrid: A case study in broadband video collaboration

First Monday ◽  
2005 ◽  
Author(s):  
Hassan Masum ◽  
Martin Brooks ◽  
John Spence
Keyword(s):  
Large Scale ◽  
Lessons Learned ◽  
The Internet ◽  
Technical Requirements ◽  
And Performance

The technical requirements for widespread deployment of broadband video over the Internet are rapidly being met. But a harder challenge remains: how can video–based technologies promote collaboration and learning? We present a case study: the MusicGrid Project. Running from 2002 to 2004 with partners in several Canadian and international locations, this modestly funded initiative ran over one hundred successful multi–site education and performance sessions. The rationale, development, and operation of the project are discussed, along with general lessons learned. We believe that our experience and the opportunities and issues identified will be useful to all those interested in large–scale, video–based collaboration projects.

The ESA Sentinel Next-Generation Land & Ocean Optical Imaging Architectural Study, an Overview

2020 ◽  
Author(s):  
Armin Löscher ◽  
Philippe Martimort ◽  
Simon Jutz ◽  
Ferran Gascon ◽  
Craig Donlon ◽  
...  
Keyword(s):  
Optical Imaging ◽  
Land Surface ◽  
Lessons Learned ◽  
User Needs ◽  
User Requirements ◽  
Next Generation ◽  
Technical Requirements ◽  
Trade Offs ◽  
Wide Range ◽  
Sentinel 2

<p>ESA initiated in 2018 an architectural design study to prepare the development of the next generation of the optical component of Sentinel 2 and Sentinel 3. This encompasses the next generation of the Multi Spectral Imager (MSI), Ocean and Land Color Imager (OLCI) and Sea and Land Surface Temperature Radiometer (SLSTR) observations. The aim of this activity was to analyse and trade-off different architectural options for the Next-Generation of the Copernicus Space Component optical imaging missions in the 2032 time horizon, considering user needs, addressing mainly the Copernicus Marine and Land services, starting from user requirements for Copernicus Next Generation derived from EC studies and related workshops. It also did draw from the experience and lessons learned regarding the current generation of Sentinel 2 and Sentinel 3, to ensure continuity of services and further enhancement as identified, necessary to meet new and emerging user needs. The study investigated also trends both in terms of other spaceborne optical missions by national agencies in Europe and worldwide, as well as commercial missions e.g. with the advent of “New Space” constellations of small satellites. Observation gaps and potential synergies were identified to avoid duplication when establishing the architecture of the next generation of the Copernicus Space Component optical imaging family for land and ocean applications. A wide range of scenarios have been analysed for possible combination of several observation capabilities within the same instrument, on the same platform or on satellites flying in formation, assessing pros and cons with respect to scenarios with free-flyer satellites for each observation capability. Based on the above analysis of user needs, gap/synergy analysis and architectural concept trade-offs, high level mission assumptions and technical requirements are being established for the continuity of the MSI, OLCI and SLSTR observations, including any additional elements, as identified, to meet user requirements in the respective Copernicus services and application areas.</p>

scholarly journals A qualitative study of collaborative stimulation in group design thinking

2016 ◽  
Vol 2 ◽  
Author(s):  
Jonathan Sauder ◽  
Yan Jin
Keyword(s):  
Design Thinking ◽  
Protocol Analysis ◽  
Idea Generation ◽  
Collaborative Activity ◽  
Group Design ◽  
Creative Cognition ◽  
Generative Processes ◽  
Thinking Processes ◽  
Future Work

It is often assumed in both education and industry that collaboration encourages creativity. This assumption is explored by investigating the influence of designers’ interactions on creativity-relevant thinking processes by extending creative cognition to the group design context. It is proposed that sharing design entities and questions stimulates creativity-relevant thinking processes through four types of collaborative stimulation. Specific patterns are hypothesized to exist between each type of collaborative stimulation and thinking processes. A case study was conducted to determine whether the hypothesized types and patterns of collaborative stimulation exist. The results were analyzed using a directed coding approach and collaborative retrospective protocol analysis, which enable capturing both internal thoughts and external interactions with minimal interference to collaboration. The results indicate that the identified types of collaborative stimulation are observable and that they have recognizable patterns with stimulated thinking processes. Stimulation occurring through design entity questioning had the strongest relationship with generative thinking processes. Although creativity-relevant generative processes are stimulated by collaborative activity, this does not necessarily mean that collaboration results in a more creative product. However, these patterns can be used in future work to develop methods and interventions for promoting group idea generation and improving group creativity.

Faculty Development: A Stage Model Matched to Blended Learning Maturation

2011 ◽  
Vol 15 (1) ◽  
Author(s):  
Michael L. Fetters ◽  
Tova Garcia Duby
Keyword(s):  
Faculty Development ◽  
Blended Learning ◽  
Lessons Learned ◽  
Technology Enhanced Learning ◽  
Stage Model ◽  
Years Of Experience ◽  
Development Programs ◽  
Curriculum Innovation ◽  
Enhanced Learning

Faculty development programs are critical to the implementation and support of curriculum innovation. In this case study, the authors present lessons learned from ten years of experience in faculty development programs created to support innovation in technology enhanced learning. Stages of curriculum innovation are matched to stages of faculty development, and important lessons for success as well as current challenges are delineated and discussed.

Sign in / Sign up

Export Citation Format

Share Document