Machine learning and data science in the oil and gas industry, Patrick Bangert
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 66520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.
Автор: Kevin Murphy Название: Machine Learning ISBN: 0262018020 ISBN-13(EAN): 9780262018029 Издательство: MIT Press Рейтинг: Цена: 124150.00 T Наличие на складе: Невозможна поставка. Описание:
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.
The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Автор: Keith R. Holdaway Название: Enhance Oil & Gas Exploration with Data-Driven Geo physical and Petrophysical Models ISBN: 1119215102 ISBN-13(EAN): 9781119215103 Издательство: Wiley Рейтинг: Цена: 55440.00 T Наличие на складе: Есть Описание: 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.
Автор: Ramasubramanian Karthik, Singh Abhishek Название: Machine Learning Using R: With Time Series and Industry-Based Use Cases in R ISBN: 1484242149 ISBN-13(EAN): 9781484242148 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R.As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning.What You'll Learn Understand machine learning algorithms using RMaster the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithmsSee industry focused real-world use casesTackle time series modeling in RApply deep learning using Keras and TensorFlow in RWho This Book is ForData scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.
Автор: Torben Lund Skovhus (Editor) et all Название: Microbiologically Influenced Corrosion in the Upstream Oil and Gas Industry ISBN: 1498726569 ISBN-13(EAN): 9781498726566 Издательство: Taylor&Francis Рейтинг: Цена: 234790.00 T Наличие на складе: Невозможна поставка. Описание: Microorganisms are ubiquitously present in petroleum reservoirs and the facilities that produce them. Pipelines, vessels, and other equipment used in upstream oil and gas operations provide a vast and predominantly anoxic environment for microorganisms to thrive. The biggest technical challenge resulting from microbial activity in these engineered environments is the impact on materials integrity. Oilfield microorganisms can affect materials integrity profoundly through a multitude of elusive (bio)chemical mechanisms, collectively referred to as microbiologically influenced corrosion (MIC). MIC is estimated to account for 20 to 30% of all corrosion-related costs in the oil and gas industry. This book is intended as a comprehensive reference for integrity engineers, production chemists, oilfield microbiologists, and scientists working in the field of petroleum microbiology or corrosion. Exhaustively researched by leaders from both industry and academia, this book discusses the latest technological and scientific advances as well as relevant case studies to convey to readers an understanding of MIC and its effective management.
The international petroleum industry has long been known the world over as a "good old boys' club" and nowhere is the oil and gas industry's gender imbalance more apparent than offshore. The untold story, shared in these pages, is about the women who have been among the first to inhabit this world, and whose stories previously have been a missing part of the history of the industry.
"As a CEO, I believe it is imperative for today's generation of young women to realize there is a seat for them in the boards of oil & gas companies as the "gas ceiling" can be broken quicker and easier than before. Reading this book, they will think about these women who have gone before them and broken down those barriers in order to give them new opportunities." -- Maria Mor us Hanssen, CEO, DEA Deutsche Erdoel AG
"My belief is that diversity is key to both creativity and solid long-term business results. Even in a country like Norway, where professional gender diversity is greater than in any other country I have had interactions with, we have an underrepresentation of women in top management positions. I would therefore like to express my appreciation to Rebecca Ponton for keeping this important subject on the agenda by presenting to us positive, impressive and, at the same time, obtainable role models." -- Grethe K. Moen, CEO and President, Petoro AS
"As the industry now is more complex and faces more uncertainty, women will be more important contributors, especially in management and communication. Women could be just what is needed " -- Karen Sund, Founder Sund Energy AS
"Everyone needs role models - and role models that look like you are even better. For women, the oil and gas industry has historically been pretty thin on role models for young women to look up to. Rebecca Ponton has provided an outstanding compilation of role models for all women who aspire to success in one of the most important industries of modern times." -- Dave Payne, Chevron VP Drilling & Completions
Learn more at www.BreakingTheGasCeiling.com From the World Voices Series at Modern History Press www.ModernHistoryPress.com
Автор: Dunkle Melissa N., Winniford William L. Название: Analytical Techniques in the Oil and Gas Industry for Environmental Monitoring ISBN: 1119523303 ISBN-13(EAN): 9781119523307 Издательство: Wiley Рейтинг: Цена: 163630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Muso DJ music playlist game, streaming music card game, adult card game for music lovers, students, friends and family, party music game where you`re the DJ, use with any music streaming app.Muso DJ is the music playlist party game you will want to play again and again. Play music you love and score points while others guess the artist, track and category. A music board game; ideal at parties and dinners. Unlike some music games/party games, you don`t need a DJ app for this quiz game with a twist. More than a trivia game for adults, Muso DJ is the ideal music-based card game for dinner guests, friends, families or students - whether at home or on holiday. As a music quiz game, it`s easy to learn: Take it in turns to pick tunes that relate to categories and tell your stories if you want to. Everyone plays at once: You`re always either playing a tune or taking a guess and yes: You all get to be the DJ. Use music-streaming services including Spotify, Apple Music, YouTube, Amazon Music and Deezer to play your favourite tunes. Even if you are not a popular music fan or a fan of quiz games, this DJ game is one of the few music games for adults that everyone from teens to adults can enjoy. A music party game with a difference; guess, chat and play with Muso DJ: The music playlist party game.
Автор: Ahmed Usman, Meehan D. Nathan Название: Unconventional Oil and Gas Resources ISBN: 1498759408 ISBN-13(EAN): 9781498759403 Издательство: Taylor&Francis Рейтинг: Цена: 224570.00 T Наличие на складе: Невозможна поставка. Описание:
As the shale revolution continues in North America, unconventional resource markets are emerging on every continent. In the next eight to ten years, more than 100,000 wells and one- to two-million hydraulic fracturing stages could be executed, resulting in close to one trillion dollars in industry spending. This growth has prompted professionals experienced in conventional oil and gas exploitation and development to acquire practical knowledge of the unconventional realm.
Unconventional Oil and Gas Resources: Exploitation and Development provides a comprehensive understanding of the latest advances in the exploitation and development of unconventional resources. With an emphasis on shale, this book:
Addresses all aspects of the exploitation and development process, from data mining and accounting to drilling, completion, stimulation, production, and environmental issues
Offers in-depth coverage of sub-surface measurements (geological, geophysical, petrophysical, geochemical, and geomechanical) and their interpretation
Discusses the use of microseismic, fiber optic, and tracer reservoir monitoring technologies and JewelSuite(TM) reservoir modeling software
Presents the viewpoints of internationally respected experts and researchers from leading exploration and production (E&P) companies and academic institutions
Explores future trends in reservoir technologies for unconventional resources development
Unconventional Oil and Gas Resources: Exploitation and Development aids geologists, geophysicists, petrophysicists, geomechanic specialists, and drilling, completion, stimulation, production, and reservoir engineers in the environmentally safe exploitation and development of unconventional resources like shale.
Автор: Raschka, Sebastian Mirjalili, Vahid Название: Python machine learning - ISBN: 1787125939 ISBN-13(EAN): 9781787125933 Издательство: Неизвестно Цена: 53940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you`ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
Автор: Bangert, Patrick Название: Machine Learning And Data Science In The Power Generation Industry ISBN: 0128197420 ISBN-13(EAN): 9780128197424 Издательство: Elsevier Science Рейтинг: Цена: 121270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies explores current best practices and quantifies the value-add in developing data-oriented computational programs in the energy industry, with a focus on real-world case studies selected from modern practice. The book provides a set of realistic pathways for organizations seeking to develop machine learning methods, with discussion on data selection and curation, as well as organizational implementation in terms of staffing and continuing operationalization. The book articulates a body of case study-driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, emissions credits, and forecasting.
Data Room Management and Rapid Asset Evaluation - Theory and Case Studies in Oil and Gas, Volume 66 introduces frameworks and workflows that help streamline the data room process, highlight the essential data that must be assembled in the permitted time window, and accelerate the subsequent assessment of the opportunity. The book combines theory with case studies, some of which describe lessons learned directly by the author himself. Methodologies are presented that can be used immediately by those involved in the technical and commercial evaluation of oil and gas exploration and production ventures.
The book is suitable for readers with a wide spectrum of experience, from those who are newcomers to the strange world of data rooms, to those diehards who may have spent too many hours in them. The purposes, strategies, and tactics of data rooms are explained, along with some suggestions on how to survive them, and how to get a fit-for-purpose evaluation in front of the decision makers in the shortest timeframe possible.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
