Download or read book The Management of Oil Industry Exploration and Production Data B W Edition written by Steve Hawtin and published by Createspace Independent Publishing Platform. This book was released on 2013-03-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing technical data within an oil company is a valuable and specialized skill. This book provides a unique insight into the practical and theoretical concepts required to successfully manage subsurface technical data. It explains how the "Data Management Body of Knowledge" published by DAMA in 2009 can be applied, and where its generic approach doesn't quite fit with real subsurface data. It also shows how advances in project management, the ITIL service delivery framework, enterprise architecture, change management, document management and information architecture can all fit together to help deliver effective data management to the business. It covers how to present this success to users and senior executives so they can appreciate the business benefits that improved data delivers.This affordable black and white edition contains more than 100 figures that help illustrate all the key points. A full color edition is also available as ISBN-10: 1482627302. In addition the site http: //dm4ep.com/ has been created to support this book.
Download or read book Guidelines for States written by Interstate Oil and Gas Compact Commission. Ad Hoc Drilling and Production Database Standardization Committee and published by . This book was released on 1996 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Management of Oil Industry Exploration and Production Data Color Edition written by Steve Hawtin and published by . This book was released on 2013-03-13 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing technical data within an oil company is a valuable and specialized skill. This book provides a unique insight into the practical and theoretical concepts required to successfully manage subsurface technical data. It explains how the "Data Management Body of Knowledge" published by DAMA in 2009 can be applied, and where its generic approach doesn't quite fit with real subsurface data. It also shows how advances in project management, the ITIL service delivery framework, enterprise architecture, change management, document management and information architecture can all fit together to help deliver effective data management to the business. It covers how to present this success to users and senior executives so they can appreciate the business benefits that improved data delivers.This edition contains more than 100 figures in full color to help illustrate all the key points. A less expensive black & white version is also available as ISBN-10: 1481904647. In addition the website http://dm4ep.com/ has been set up to provide extra support for the book.
Download or read book Exploring Research Data Management written by Andrew Cox and published by Facet Publishing. This book was released on 2018-05-11 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge. Starting by exploring the world of research and the importance and complexity of data in the research process, the book considers how a multi-professional support service can be created then examines the decisions that need to be made in designing different types of research data service from local policy creation, training, through to creating a data repository. Coverage includes: A discussion of the drivers and barriers to RDM Institutional policy and making the case for Research Data Services Practical data management Data literacy and training researchers Ethics and research data services Case studies and practical advice from working in a Research Data Service. This book will be useful reading for librarians and other support professionals who are interested in learning more about RDM and developing Research Data Services in their own institution. It will also be of value to students on librarianship, archives, and information management courses studying topics such as RDM, digital curation, data literacies and open science.
Download or read book Exploration Production Data Management Conference Exhibition written by and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Exploration Production Data Management written by Gulf Publishing Company and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mobility Data Management and Exploration written by Nikos Pelekis and published by Springer. This book was released on 2014-07-08 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, indexing, processing, analyzing and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are also covered. Theoretical presentation is smoothly interchanged with hands-on exercises and case studies involving an actual MOD engine. The authors are established experts who address both theoretical and practical dimensions of the field but also present valuable prototype software. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students studying database management, data mining and geographic information systems.
Download or read book Data Management Technologies and Applications written by Slimane Hammoudi and published by Springer Nature. This book was released on 2021-07-22 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. Due to the Covid-19 pandemic the event was held virtually. The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; decision support systems; data analytics; data and information quality; digital rights management; big data; knowledge management; ontology engineering; digital libraries; mobile databases; object-oriented database systems; data integrity.
Download or read book The AIoT Playbook written by Dirk Slama and published by Springer Nature. This book was released on 2022 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book New Advances in Geology and Engineering Technology of Unconventional Oil and Gas written by Yuwei Li and published by Frontiers Media SA. This book was released on 2022-09-21 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Management at Scale written by Piethein Strengholt and published by "O'Reilly Media, Inc.". This book was released on 2023-04-10 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including regulatory requirements, privacy concerns, and new developments such as data mesh and data fabric Go deep into building a modern data architecture, including cloud data landing zones, domain-driven design, data product design, and more Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
Download or read book Strategic Planning for Exploration Management written by Allen N. Quick and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: In all the industries in which I do management consulting, each manager considers his own industry to be truly "unique. " Of course, each is different in some respects, and each has its own quirks and features. However, the similarities among in dustries far outweigh the differences. The critical dynamics and the management issues have a great deal in common. However, there are, I believe, two industries (or segments of industries) that have an important critical uniqueness that does distinguish them from the rest. One of these is the exploration for undiscovered natural resources, notably for oil and gas; the other is research. In these two in dustry segments, the competition is not nearly so much one firm against another as it is each firm against "nature," or-if you prefer-against the unknown. This uniqueness not only sets these two industry segments apart from the rest, it also helps us to see what they have in common with each other: - Pure scientific talent, ability, and genius have direct commercial value. - We do not have the zero sum game of competition in the market place. A discovery by one firm does not usually perceptably lessen the opportunity of a "competitor" for a discovery. On the contrary, a discovery by one firm usually increases the knowledge of the whole industry, increasing com petitors' opportunity for discovery. - We see the source of continuing life for the rest of the firm.
Download or read book e Design written by Kuang-Hua Chang and published by Academic Press. This book was released on 2016-02-23 with total page 1228 pages. Available in PDF, EPUB and Kindle. Book excerpt: e-Design: Computer-Aided Engineering Design, Revised First Edition is the first book to integrate a discussion of computer design tools throughout the design process. Through the use of this book, the reader will understand basic design principles and all-digital design paradigms, the CAD/CAE/CAM tools available for various design related tasks, how to put an integrated system together to conduct All-Digital Design (ADD), industrial practices in employing ADD, and tools for product development. Comprehensive coverage of essential elements for understanding and practicing the e-Design paradigm in support of product design, including design method and process, and computer based tools and technology Part I: Product Design Modeling discusses virtual mockup of the product created in the CAD environment, including not only solid modeling and assembly theories, but also the critical design parameterization that converts the product solid model into parametric representation, enabling the search for better design alternatives Part II: Product Performance Evaluation focuses on applying CAE technologies and software tools to support evaluation of product performance, including structural analysis, fatigue and fracture, rigid body kinematics and dynamics, and failure probability prediction and reliability analysis Part III: Product Manufacturing and Cost Estimating introduces CAM technology to support manufacturing simulations and process planning, sheet forming simulation, RP technology and computer numerical control (CNC) machining for fast product prototyping, as well as manufacturing cost estimate that can be incorporated into product cost calculations Part IV: Design Theory and Methods discusses modern decision-making theory and the application of the theory to engineering design, introduces the mainstream design optimization methods for both single and multi-objectives problems through both batch and interactive design modes, and provides a brief discussion on sensitivity analysis, which is essential for designs using gradient-based approaches Tutorial lessons and case studies are offered for readers to gain hands-on experiences in practicing e-Design paradigm using two suites of engineering software: Pro/ENGINEER-based, including Pro/MECHANICA Structure, Pro/ENGINEER Mechanism Design, and Pro/MFG; and SolidWorks-based, including SolidWorks Simulation, SolidWorks Motion, and CAMWorks. Available on the companion website http://booksite.elsevier.com/9780123820389
Download or read book Harness Oil and Gas Big Data with Analytics written by Keith R. Holdaway and published by John Wiley & Sons. This book was released on 2014-05-05 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits.
Download or read book Enterprise Master Data Management written by Allen Dreibelbis and published by Pearson Education. This book was released on 2008-06-05 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
Download or read book Data Management for Researchers written by Kristin Briney and published by Pelagic Publishing Ltd. This book was released on 2015-09-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin
