Industry professionals will appreciate the authors' approach to developing a digital strategy from the bottom up, avoiding pitfalls from the tempting short cuts, to deliver data the business needs to gain a sustainable competitive advantage. Best practices are identified from an organization, process, and technology perspective, providing insight into how companies should prepare for and begin the digital journey. It is apparent to everyone within the Industry that significant changes are underway. These changes are being driven by the need to operate more efficiently and with fewer people. Picture a general flow of getting more for less, but on steroids! A catalyst for this change has been the application of digital technology, wherein lies a new focus on data science and analytics. This is starting to result in real and significant improvements to overall business performance for some operators. While big data and analytics get most of the attention, it is only one aspect of a broader movement that is popularly referred to as the Digital Transformation and which we have categorized as the Digital Oilfield 2.0; the next phase of the Digital Transformation. One critical aspect of the Digital Transformation that typically gets overlooked is the need for effective data management across the full Well lifecycle. The result of this lack of focus on the fundamentals is that many big data and analytics projects fail to deliver fully on the promised benefits with the occasional spectacular failure. In this book, the authors investigate and analyze the industry and technology trends that are driving the next phase of the Digital Transformation. They break this down into the component parts and present a framework for building an effective master data management platform and organization - it is not just about the technology. Combining this framework with best practices gathered over decades in the business, the authors present an approach to building out a Digital Strategy to help companies that are struggling to define their own journey towards a Digital Transformation.

The oil and gas industry is at a crossroads. Recent low prices, rapidly growing alternative fuels like renewables, the permanent swing from peak oil to super abundance, shifting consumer preferences, and global pressures to decarbonize suggest a challenged industry for the foreseeable future. Digital advances offer ways to lower costs of production, improve productivity, reduce carbon emissions, and regain public confidence. A wait-and-see attitude to digital innovation has failed many industries already, and the leaders of oil and gas urgently need guidance on how digital both disrupts and enhances their industry. Written by the world's leading experts on the intersection of digital technologies and the oil and gas industry, Bits, Bytes, and Barrels sets out the reasons why adoption is slow, describes the size and scale of both the opportunity and the threat from digital, identifies the key digital technologies and the role that they play in a digital future, and recommends a set of actions for leaders to take to accelerate the adoption of digital in the business. Providing an independent and expert perspective, Bits, Bytes, and Barrels addresses the impacts of digital across the breadth of the industry--from onshore to offshore, from upstream to midstream to integrated--and outlines a roadmap to help the decision-makers at all levels of the industry take meaningful action toward promising and rewarding digital adoption.

Game-changing disruptions will likely unfold on your watch. Be ready. In Dual Transformation, Scott Anthony, Clark Gilbert, and Mark Johnson propose a practical and sustainable approach to one of the greatest challenges facing leaders today: transforming your business in the face of imminent disruption. Dual Transformation shows you how your company can come out of a market shift stronger and more profitable, because the threat of disruption is also the greatest opportunity a leadership team will ever face. Disruptive change opens a window of opportunity to create massive new markets. It is the moment when a market also-ran can become a market leader. It is the moment when business legacies are created. That moment starts with the core dual transformation framework: Transformation A: Repositioning today’s business to maximize its resilience, such as how Adobe boldly shifted from selling packaged software to providing software as a service. Transformation B: Creating a new growth engine, such as how Amazon became the world’s largest provider of cloud computing services. Capabilities link: Fighting unfairly by taking advantage of difficult-to-replicate assets without succumbing to the “sucking sound of the core.” Anthony, Gilbert, and Johnson also address the characteristics leaders must embrace: courage, clarity, curiosity, and conviction. Without them, dual transformation efforts can founder. Building on lessons from diverse companies, such as Adobe, Manila Water, and Netflix, and a case study from Gilbert’s firsthand experience transforming his own media and publishing company, Dual Transformation will guide executives through the journey of creating the next version of themselves, allowing them to own the future rather than be disrupted by it.

Intelligent Digital Oil and Gas Fields: Concepts, Collaboration, and Right-time Decisions delivers to the reader a roadmap through the fast-paced changes in the digital oil field landscape of technology in the form of new sensors, well mechanics such as downhole valves, data analytics and models for dealing with a barrage of data, and changes in the way professionals collaborate on decisions. The book introduces the new age of digital oil and gas technology and process components and provides a backdrop to the value and experience industry has achieved from these in the last few years. The book then takes the reader on a journey first at a well level through instrumentation and measurement for real-time data acquisition, and then provides practical information on analytics on the real-time data. Artificial intelligence techniques provide insights from the data. The road then travels to the "integrated asset" by detailing how companies utilize Integrated Asset Models to manage assets (reservoirs) within DOF context. From model to practice, new ways to operate smart wells enable optimizing the asset. Intelligent Digital Oil and Gas Fields is packed with examples and lessons learned from various case studies and provides extensive references for further reading and a final chapter on the "next generation digital oil field," e.g., cloud computing, big data analytics and advances in nanotechnology. This book is a reference that can help managers, engineers, operations, and IT experts understand specifics on how to filter data to create useful information, address analytics, and link workflows across the production value chain enabling teams to make better decisions with a higher degree of certainty and reduced risk. - Covers multiple examples and lessons learned from a variety of reservoirs from around the world and production situations - Includes techniques on change management and collaboration - Delivers real and readily applicable knowledge on technical equipment, workflows and data challenges such as acquisition and quality control that make up the digital oil and gas field solutions of today - Describes collaborative systems and ways of working and how companies are transitioning work force to use the technology and making more optimal decisions

This book examines the impact of the Fourth Industrial Revolution on business strategy, marketing, management, sustainability innovation, and various kinds of industry. It provides a broad overview of ways that organisations have sought to develop a digital strategy, and explores the challenges and opportunities posed by a rapidly transforming digital world. It draws on European and Russian case studies, with chapters addressing smart cities, corporate governance, the digital single market, and agrobusiness. This book will be of interest to academics and practitioners in management and economics, who are interested in digital strategies performance in global markets.

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)

Industry 4.0 has spread globally since its inception in 2011, now encompassing many sectors, including its diffusion in the field of financial services. By combining information technology and automation, it is now canvassing the insurance sector, which is in dire need of digital transformation. This book presents a business model of Insurance 4.0 by detailing its implementation in processes, platforms, persons, and partnerships of the insurance companies alongside looking at future developments. Filled with business cases in insurance companies and financial services, this book will be of interest to those academics and researchers of insurance, financial technology, and digital transformation, alongside executives and managers of insurance companies.