Harness Oil and Gas Big Data with Analytics

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Release : 2014-05-05
Genre : Business & Economics
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Book Rating : 893/5 ( reviews)

Harness Oil and Gas Big Data with Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Harness Oil and Gas Big Data with Analytics write by Keith R. Holdaway. This book was released on 2014-05-05. Harness Oil and Gas Big Data with Analytics available in PDF, EPUB and Kindle. 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.

Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models

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Release : 2017-10-04
Genre : Business & Economics
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Book Rating : 587/5 ( reviews)

Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models write by Keith R. Holdaway. This book was released on 2017-10-04. Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models available in PDF, EPUB and Kindle. Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.

Intelligent Digital Oil and Gas Fields

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Release : 2017-12-05
Genre : Technology & Engineering
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Book Rating : 47X/5 ( reviews)

Intelligent Digital Oil and Gas Fields - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Digital Oil and Gas Fields write by Gustavo Carvajal. This book was released on 2017-12-05. Intelligent Digital Oil and Gas Fields available in PDF, EPUB and Kindle. 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

Emerging Technologies for Sustainable and Smart Energy

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Release : 2022-08-03
Genre : Technology & Engineering
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Book Rating : 580/5 ( reviews)

Emerging Technologies for Sustainable and Smart Energy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Emerging Technologies for Sustainable and Smart Energy write by Anirbid Sircar. This book was released on 2022-08-03. Emerging Technologies for Sustainable and Smart Energy available in PDF, EPUB and Kindle. Considering the alarming issue of global climate change and its drastic consequences, there is an urgent need to further develop smart and innovative solutions for the energy sector. The goal of sustainable and smart energy for present and future generations can be achieved by integrating emerging technologies into the existing energy infrastructure. This book focuses on the role and significance of emerging technologies in the energy sector and covers the various technological interventions for both conventional and unconventional energy resources and provides meaningful insights into smart and sustainable energy solutions. The book also discusses future directions for smart and sustainable developments in the energy sector.

Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century

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Release : 2023-09-11
Genre : Technology & Engineering
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Book Rating : 191/5 ( reviews)

Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century write by J. Watada. This book was released on 2023-09-11. Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century available in PDF, EPUB and Kindle. Since the turn of the century, geology has advanced dramatically, with materials derived from extra-terrestrial sources meaning that it now encompasses cosmology, and new technologies providing ever more sophisticated possibilities for the conducting of research. This book, Unconventional Methods for Geoscience, Shale Gas and Petroleum in the 21st Century, aims to provide research directions for geology in the 21st century. As Eric Hobsbawm wrote, it is difficult to write the history of one’s own days, and selecting influential methods was no easy task, but an attempt has been made to include the most influential papers that represent the smart geology of the first few decades of the 21st century. The book presents 22 papers; the first serves as an introduction to biology, which is now expanding into the science of the cosmos following the discovery of previously missing information, and the remaining 21 papers are divided into 3 sections entitled Modelling, Simulation and Optimization. The importance of theoretical approaches from physics, mathematics, and statistics underlying meta-heuristic methods, knowledge and approaches is acknowledged, and there is a chapter dedicated to deep learning. The book contributes to the exploration of various possible solutions to challenging problems in both the Earth’s geology and that of the cosmos, and will be of interest to all those working in the field.