Machine Learning Applications In Subsurface Energy Resource Management
DOWNLOAD
Download Machine Learning Applications In Subsurface Energy Resource Management PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning Applications In Subsurface Energy Resource Management book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Machine Learning Applications In Subsurface Energy Resource Management
DOWNLOAD
Author : Srikanta Mishra
language : en
Publisher: CRC Press
Release Date : 2022-12-27
Machine Learning Applications In Subsurface Energy Resource Management written by Srikanta Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-27 with Technology & Engineering categories.
The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance) Offers a variety of perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest applications of several ML techniques Includes a literature review and future outlook for each application domain This book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.
Managed Pressure Drilling Fundamentals Methods And Applications
DOWNLOAD
Author : Eric van Oort
language : en
Publisher: Elsevier
Release Date : 2025-05-30
Managed Pressure Drilling Fundamentals Methods And Applications written by Eric van Oort and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Technology & Engineering categories.
Managed Pressure Drilling Fundamentals, Methods and Applications, First Edition provides the basic infrastructure and extended support necessary for drilling engineers to apply managed pressure drilling to their operations. Enhanced with multiple new chapters and contributions from both academic and corporate authors, this reference provides engineers with the basic processes and equipment behind MPD. Other sections explain the latest technology and real-world case studies, such as how to optimize the managed pressure drilling system, how to choose the best well candidate for MPD, and how to lower costs for land-based operations. Packed with a glossary, list of standards, and a well classification system, this book is a flagship reference for drilling engineers on how to understand basics and advances in this fast-paced area of oil and gas technology. - Demonstrates the value in safety improvement, time and cost savings, sustainability and reduced carbon footprint that adoption of MPD brings to well construction. - Delivers a fundamental collection on managed pressure drilling equipment, methods, procedures, best practices, and field cases. - Presents a balance of information that ranges from historical details and background theory to practical application - Includes multiple critical chapters dealing with all major MPD variants, MPD event detection, control systems and automation, how to plan and risk MPD, where MPD fits in the well delivery process, and its future outlook.
Geothermal Energy Engineering
DOWNLOAD
Author : Silviu Livescu
language : en
Publisher: Elsevier
Release Date : 2025-02-13
Geothermal Energy Engineering written by Silviu Livescu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Technology & Engineering categories.
Geothermal Energy Engineering: Technology Transfer from the Oil and Gas Industry focuses on geothermal energy technology, engineering, field and operational topics, as seen from an oil and gas industry perspective. To accelerate development of an important source of clean energy during the energy transition, proven oil and gas technologies can pivot towards geothermal energy production, for both power generation and direct heat applications. Geothermal Energy Engineering includes chapters written by world-renewed subject matter experts addressing practical applications optimized in the oil and gas industry that can be adapted to accelerate geothermal energy production. The book will progress from an introduction to geothermal energy, cover types of geothermal and hybrid systems, address geothermal subsurface characterization, exploration, drilling, completion and production, facilities and project management, and includes analysis of technical and economic aspects of geothermal systems, gaps and future opportunities. Geothermal Energy Engineering: Technology Transfer from the Oil and Gas Industry delivers key guidance for energy professionals to apply mature oilfield technologies to accelerate geothermal energy production. With a strong focus on technology transfer from the oil and gas industry, case studies and application, this book, compiled by leading experts, serves as a contemporary reference for students, researchers and energy engineers that addresses the critical need for new technologies, innovation and collaboration to support the growth of geothermal energy applications. It is intended to foster interdisciplinary innovation, training, and field practices needed to exponentially scale up the geothermal energy supply in the next critical decade of the energy transition. - Explores recent developments in geothermal energy systems - Addresses practical applications that have been optimized in the oil and gas industry - Covers topics that include engineering and operations, innovation models, and oil and gas technologies that can be applied to optimize and accelerate geothermal energy
Artificial Intelligence For A More Sustainable Oil And Gas Industry And The Energy Transition
DOWNLOAD
Author : Mohammadali Ahmadi
language : en
Publisher: Elsevier
Release Date : 2024-07-13
Artificial Intelligence For A More Sustainable Oil And Gas Industry And The Energy Transition written by Mohammadali Ahmadi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Technology & Engineering categories.
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry's pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. - Reviews the use and applications of AI in energy transition of the oil and gas sectors - Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts - Showcases the successful implementation of AI in the industry (including geothermal energy)
Encyclopedia Of Renewable Energy Sustainability And The Environment
DOWNLOAD
Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-09
Encyclopedia Of Renewable Energy Sustainability And The Environment written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Science categories.
Encyclopedia of Renewable Energy, Sustainability and the Environment, Four Volume Set comprehensively covers all renewable energy resources, including wind, solar, hydro, biomass, geothermal energy, and nuclear power, to name a few. In addition to covering the breadth of renewable energy resources at a fundamental level, this encyclopedia delves into the utilization and ideal applications of each resource and assesses them from environmental, economic, and policy standpoints. This book will serve as an ideal introduction to any renewable energy source for students, while also allowing them to learn about a topic in more depth and explore related topics, all in a single resource.Instructors, researchers, and industry professionals will also benefit from this comprehensive reference. - Covers all renewable energy technologies in one comprehensive resource - Details renewable energies' processes, from production to utilization in a single encyclopedia - Organizes topics into concise, consistently formatted chapters, perfect for readers who are new to the field - Assesses economic challenges faced to implement each type of renewable energy - Addresses the challenges of replacing fossil fuels with renewables and covers the environmental impacts of each renewable energy
Artificial Intelligence Applications In Water Treatment And Water Resource Management
DOWNLOAD
Author : Shikuku, Victor
language : en
Publisher: IGI Global
Release Date : 2023-08-25
Artificial Intelligence Applications In Water Treatment And Water Resource Management written by Shikuku, Victor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-25 with Computers categories.
The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management. Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Applied Statistical Modeling And Data Analytics
DOWNLOAD
Author : Srikanta Mishra
language : en
Publisher: Elsevier
Release Date : 2017-10-27
Applied Statistical Modeling And Data Analytics written by Srikanta Mishra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-27 with Science categories.
Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal. - Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains - Written by practitioners for practitioners - Presents an easy to follow narrative which progresses from simple concepts to more challenging ones - Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences - Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications
Advances In Environmental Sustainability Energy And Earth Science
DOWNLOAD
Author : Pankaj Pathak
language : en
Publisher: Springer Nature
Release Date : 2024-11-25
Advances In Environmental Sustainability Energy And Earth Science written by Pankaj Pathak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Science categories.
This book presents the proceedings of the 1st International Conference on Advances in Environmental Sustainability, Energy and Earth Science (AESEE-2024), held on March 14 - 16, in Amaravati, Andhra Pradesh, India. The conference offers a platform to discuss frontier areas of research and disseminate scientific information in the fields of environmental sustainability, energy and earth science, and it also offers an opportunity to learn and connect with the leading experts from academia, industry, policy makers, scientists and other professionals. These proceedings report on environmental challenges and the latest sustainable solutions by discussing biodiversity, climate action, water resources, biogeochemistry, biotechnology, and perspectives from diverse fields. The book outlines cutting-edge solutions like carbon sequestration strategies, and smart agricultural practices, emphasizing the role of innovation in achieving sustainability goals. Particular attention is given to green technologies and applications of biotechnology for pollution prevention. The inclusion of topics such as Women in Science & Engineering underscores the importance of diversity in environmental research. The book not only outlines scientific advancements but also recognises and celebrates the contributions of underrepresented groups, promoting inclusivity in the pursuit of sustainable solutions for the future. This book has a broad appeal, and students, researchers, professionals and policymakers interested in the fields of environmental sustainability, energy and earth science will find it a valuable account.
Machine Learning For Subsurface Characterization
DOWNLOAD
Author : Siddharth Misra
language : en
Publisher: Gulf Professional Publishing
Release Date : 2020
Machine Learning For Subsurface Characterization written by Siddharth Misra and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Big data categories.
An Introduction To Machine Learning
DOWNLOAD
Author : Gopinath Rebala
language : en
Publisher:
Release Date : 2019
An Introduction To Machine Learning written by Gopinath Rebala and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Machine learning categories.
Just like electricity, Machine Learning will revolutionize our life in many ways - some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with.