Statistics for Petroleum Engineers and Geoscientists PDF Download
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Author: Jerry L. Jensen
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 424
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Book Description
Author: Jerry L. Jensen
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 424
Get Book Here
Book Description
Author: Jerry Jensen
Publisher: Gulf Professional Publishing
ISBN: 9780444505521
Category : Business & Economics
Languages : en
Pages : 370
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Book Description
For many engineers, statistics is the method of last resort, when no deterministic method can be found to make sense of geological complexities. This volume shows that geological data and geology often have a mutually beneficial effect especially in the diagnosis of complex geological phenomena.
Author: Srikanta Mishra
Publisher: Elsevier
ISBN: 0128032804
Category : Science
Languages : en
Pages : 252
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Book Description
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
Author: Sathish Sankaran
Publisher:
ISBN: 9781613998205
Category :
Languages : en
Pages : 108
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Book Description
Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.
Author: Moshood Sanni
Publisher: John Wiley & Sons
ISBN: 1119387949
Category : Science
Languages : de
Pages : 518
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Book Description
Ein ausführlicher Praxisleitfaden zu Methoden für die Lösung komplexer Probleme in der Erdöltechnik. In der Erdöltechnik dominieren übergreifende wissenschaftliche und mathematische Prinzipien. Allerdings gibt es immer wieder Lücken zwischen Theorie und praktischer Anwendung. Petroleum Engineering: Principles, Calculations, and Workflows stellt Methoden für die Lösung einer Vielzahl praktischer Probleme in der Erdöltechnik vor. Jedes Kapitel beschäftigt sich mit einer spezifischen Problemstellung, beschreibt Formeln zur Erläuterung der primären Prinzipien dieses Problems und zeigt im Anschluss einfach nachvollziehbare Handreichungen für die praktische Anwendung. Hauptmerkmale dieses Bandes: - Fundierter und integrierter Ansatz für die Lösung inverser Probleme. - Ausführliche Untersuchung der Abläufe, einschließlich Modell- und Parametervalidierung. - Einfache Ansätze für die Lösung komplexer mathematischer Probleme. - Komplexe Berechnungen, die sich mit einfachen Methoden leicht implementieren lassen. - Überblick über wichtige Herangehensweisen, die für die Software- und Anwendungsentwicklung notwendig sind. - Formel- und Modellhandreichungen für die Diagnose, erstmalige Parametermodellierung, Simulation und Regression. Petroleum Engineering: Principles, Calculations, and Workflows ist ein wertvolles Referenzwerk für die Praxis und richtet sich an eine breite Zielgruppe: Geowissenschaftler, Explorationsgeologen und Ingenieure. Dieser zugängliche Leitfaden, ein fundiertes Nachschlagewerk für die Lösung alltäglicher Probleme in der Eröltechnik, eignet sich ebenfalls gut für Studenten im Hauptstudium, Postgraduierte, Berater, Softwareentwickler und Berufspraktiker.
Author: William C. Lyons
Publisher: Gulf Professional Publishing
ISBN: 0884156427
Category : Technology & Engineering
Languages : en
Pages : 1450
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Book Description
Volume 1 presents the mathematics and general engineering and science of petroleum engineering. It also examines the auxiliary equipment and provides coverage of all aspects of drilling and well completion.
Author: James G. Speight
Publisher: John Wiley & Sons
ISBN: 1119403634
Category : Technology & Engineering
Languages : en
Pages : 718
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Book Description
The most comprehensive and thorough reference work available for petroleum engineers of all levels. Finally, there is a one-stop reference book for the petroleum engineer which offers practical, easy-to-understand responses to complicated technical questions. This is a must-have for any engineer or non-engineer working in the petroleum industry, anyone studying petroleum engineering, or any reference library. Written by one of the most well-known and prolific petroleum engineering writers who has ever lived, this modern classic is sure to become a staple of any engineer's library and a handy reference in the field. Whether open on your desk, on the hood of your truck at the well, or on an offshore platform, this is the only book available that covers the petroleum engineer's rules of thumb that have been compiled over decades. Some of these "rules," until now, have been "unspoken but everyone knows," while others are meant to help guide the engineer through some of the more recent breakthroughs in the industry's technology, such as hydraulic fracturing and enhanced oil recovery. The book covers every aspect of crude oil, natural gas, refining, recovery, and any other area of petroleum engineering that is useful for the engineer to know or to be able to refer to, offering practical solutions to everyday engineering problems and a comprehensive reference work that will stand the test of time and provide aid to its readers. If there is only one reference work you buy in petroleum engineering, this is it.
Author: Patrick Bangert
Publisher: Gulf Professional Publishing
ISBN: 0128209143
Category : Science
Languages : en
Pages : 290
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Book Description
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)
Author: Johannes Fink
Publisher: Gulf Professional Publishing
ISBN: 0123838452
Category : Technology & Engineering
Languages : en
Pages : 809
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Book Description
Petroleum Engineer's Guide to Oil Field Chemicals and Fluids is a comprehensive manual that provides end users with information about oil field chemicals, such as drilling muds, corrosion and scale inhibitors, gelling agents and bacterial control. This book is an extension and update of Oil Field Chemicals published in 2003, and it presents a compilation of materials from literature and patents, arranged according to applications and the way a typical job is practiced. The text is composed of 23 chapters that cover oil field chemicals arranged according to their use. Each chapter follows a uniform template, starting with a brief overview of the chemical followed by reviews, monomers, polymerization, and fabrication. The different aspects of application, including safety and environmental impacts, for each chemical are also discussed throughout the chapters. The text also includes handy indices for trade names, acronyms and chemicals. Petroleum, production, drilling, completion, and operations engineers and managers will find this book invaluable for project management and production. Non-experts and students in petroleum engineering will also find this reference useful. - Chemicals are ordered by use including drilling muds, corrosion inhibitors, and bacteria control - Includes cutting edge chemicals and polymers such as water soluble polymers and viscosity control - Handy index of chemical substances as well as a general chemical index
Author: Hoss Belyadi
Publisher: Gulf Professional Publishing
ISBN: 0128219300
Category : Science
Languages : en
Pages : 478
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Book Description
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. - Helps readers understand how open-source Python can be utilized in practical oil and gas challenges - Covers the most commonly used algorithms for both supervised and unsupervised learning - Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques
