Quantitative Geosciences Data Analytics Geostatistics Reservoir Characterization And Modeling

Author : Y. Z. Ma
Publisher : Springer
Page : 640 pages
File Size : 48,6 Mb
Release : 2019-07-15
Category : Technology & Engineering
ISBN : 9783030178604

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Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling by Y. Z. Ma Pdf

Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.

Author : Srikanta Mishra,Akhil Datta-Gupta
Publisher : Elsevier
Page : 250 pages
File Size : 50,8 Mb
Release : 2017-10-27
Category : Science
ISBN : 9780128032800

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Applied Statistical Modeling and Data Analytics by Srikanta Mishra,Akhil Datta-Gupta Pdf

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 : Jeffrey M. Yarus,R. L. Chambers
Publisher : AAPG
Page : 432 pages
File Size : 47,5 Mb
Release : 2006
Category : Petroleum
ISBN : STANFORD:36105128337347

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Stochastic Modeling and Geostatistics by Jeffrey M. Yarus,R. L. Chambers Pdf

Author : Michael J. Pyrcz,Clayton V. Deutsch
Publisher : Oxford University Press
Page : 449 pages
File Size : 52,9 Mb
Release : 2014-04-16
Category : Mathematics
ISBN : 9780199358830

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Geostatistical Reservoir Modeling by Michael J. Pyrcz,Clayton V. Deutsch Pdf

Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasized the interaction between geophysicists, geologists, and engineers, and was received well by professionals, academics, and both graduate and undergraduate students. In this revised second edition, Deutsch collaborates with co-author Michael Pyrcz to provide an expanded (in coverage and format), full color illustrated, more comprehensive treatment of the subject with a full update on the latest tools, methods, practice, and research in the field of petroleum Geostatistics. Key geostatistical concepts such as integration of geologic data and concepts, scale considerations, and uncertainty models receive greater attention, and new comprehensive sections are provided on preliminary geological modeling concepts, data inventory, conceptual model, problem formulation, large scale modeling, multiple point-based simulation and event-based modeling. Geostatistical methods are extensively illustrated through enhanced schematics, work flows and examples with discussion on method capabilities and selection. For example, this expanded second edition includes extensive discussion on the process of moving from an inventory of data and concepts through conceptual model to problem formulation to solve practical reservoir problems. A greater number of examples are included, with a set of practical geostatistical studies developed to illustrate the steps from data analysis and cleaning to post-processing, and ranking. New methods, which have developed in the field since the publication of the first edition, are discussed, such as models for integration of diverse data sources, multiple point-based simulation, event-based simulation, spatial bootstrap and methods to summarize geostatistical realizations.

Author : Alexey Beskopylny,Mark Shamtsyan,Viktor Artiukh
Publisher : Springer Nature
Page : 3148 pages
File Size : 51,6 Mb
Release : 2023-02-24
Category : Technology & Engineering
ISBN : 9783031212192

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XV International Scientific Conference “INTERAGROMASH 2022” by Alexey Beskopylny,Mark Shamtsyan,Viktor Artiukh Pdf

The book contains proceedings of the XV International Scientific Conference INTERAGROMASH 2022, Rostov-on-Don, Russia. This conference is dedicated to the innovations in the field of precision agriculture, robotics and machines, as well as agriculture biotechnologies and soil management. It is a collection of original and fundamental research in such areas as follows: unmanned aerial systems, satellite-based applications, proximal and remote sensing of soil and crop, positioning systems, geostatistics, mapping and spatial data analysis, robotics, and automation. Potential and prospects for the use of hydrogen in agriculture, for example, in high-performance tractors with hybrid electric transmission, are disclosed in the research works of scientists from all over the world. It also includes such topics as precision horticulture, precision crop protection, differential harvest, precision livestock farming, controlling environment in animal husbandry, and other topics. One of the important issues raised in the book is to ensure the autonomy of local farms. The topic of the impact of the agro-industrial sector on the environment also received wide coverage. Ways to reduce the burden on the environment are proposed, and the use of alternative fuels and fertilizers is suggested. The research results presented in this book cover the experience and the latest studies on the sustainable functioning of agribusiness in several climatic zones. The tundra and taiga, forest-steppe, the steppe and semi-desert—all this is a unique and incredibly demanded bank of information, the main value of which is the real experience of the functioning of agribusiness in difficult climatic and geographic conditions. These materials are of interest for professionals and practitioners, for researchers, scholars, and producers. They are used in the educational process at specific agricultural universities or during vocational training at enterprises and also become an indispensable helper to farm managers in making the best agronomic decisions.

Author : Y. Zee Ma,Paul R. La Pointe
Publisher : AAPG
Page : 329 pages
File Size : 42,6 Mb
Release : 2011-12-20
Category : Science
ISBN : 9780891813781

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Uncertainty Analysis and Reservoir Modeling by Y. Zee Ma,Paul R. La Pointe Pdf

Author : Shuvajit Bhattacharya
Publisher : Springer Nature
Page : 172 pages
File Size : 53,8 Mb
Release : 2021-05-03
Category : Technology & Engineering
ISBN : 9783030717681

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A Primer on Machine Learning in Subsurface Geosciences by Shuvajit Bhattacharya Pdf

This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences.

Author : John R. Fanchi
Publisher : Gulf Professional Publishing
Page : 320 pages
File Size : 49,8 Mb
Release : 2002-07-31
Category : Business & Economics
ISBN : 9780750675222

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Shared Earth Modeling by John R. Fanchi Pdf

Introduction to shared earth modeling -- Geology -- Petrophysics -- Well logging -- Geophysics -- Fluid properties -- Measures of rock-fluid interactions -- Applications of rock-fluid interactions -- Fluid flow equations -- Fundamentals of reservoir characterization -- Modern reservoir characterization Techniques -- Well testing -- Production analysis -- Reservoir flow simulation -- Reservoir management -- Improved recovery.

Author : Nader C. Dutta,Ran Bachrach,Tapan Mukerji
Publisher : Cambridge University Press
Page : 549 pages
File Size : 40,9 Mb
Release : 2021-03-11
Category : Business & Economics
ISBN : 9781107194113

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Quantitative Analysis of Geopressure for Geoscientists and Engineers by Nader C. Dutta,Ran Bachrach,Tapan Mukerji Pdf

An overview of the processes related to geopressure development, prediction and detection using state-of-the-art tools and technologies.

Author : Sathish Sankaran,Sebastien Matringe,Mohamed Sidahmed
Publisher : Unknown
Page : 108 pages
File Size : 44,9 Mb
Release : 2020-10-29
Category : Electronic
ISBN : 1613998201

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Data Analytics in Reservoir Engineering by Sathish Sankaran,Sebastien Matringe,Mohamed Sidahmed Pdf

Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.

Author : Professor Gregoire Mariethoz,Jef Caers
Publisher : John Wiley & Sons
Page : 376 pages
File Size : 55,8 Mb
Release : 2014-10-16
Category : Science
ISBN : 9781118662939

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Multiple-point Geostatistics by Professor Gregoire Mariethoz,Jef Caers Pdf

This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed.

Author : Enwenode Onajite
Publisher : Elsevier
Page : 252 pages
File Size : 41,5 Mb
Release : 2013-09-26
Category : Technology & Engineering
ISBN : 9780124200296

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Seismic Data Analysis Techniques in Hydrocarbon Exploration by Enwenode Onajite Pdf

Seismic Data Analysis Techniques in Hydrocarbon Exploration explains the fundamental concepts and skills used to acquire seismic data in the oil industry and the step-by-step techniques necessary to extract the sections that trap hydrocarbons as well as seismic data interpretation skills. It enhances the ability to interpret seismic data and use that data for basin evaluation, structural modeling of a fault, reservoir characterization, rock physics analysis, field development, and production studies. Understanding and interpreting seismic data is critical to oil and gas exploration companies. Arming young geoscientists with a reference that covers the key principles of seismic data analysis will enhance their job knowledge, skills and performance. A fundamental grasp of seismic data enhances employability and aids scientists in functioning effectively when working with seismic data in industry. Edited by a team of petroleum geoscientists with more than 30 years of experience in hydrocarbon exploration and data analysis at O&G companies. More than 200 figures, photographs, and illustrations aid in the understanding of the fundamental concepts and techniques used to acquire seismic data Takes an easy-to-follow, step-by-step approach to presenting the techniques and skills used to extract the geologic sections from acquired seismic data. Enhances the geoscientist’s effectiveness when using seismic data for field development and other exploration and production studies

Author : Iraj Ershaghi
Publisher : Unknown
Page : 0 pages
File Size : 45,8 Mb
Release : 2023
Category : Electronic
ISBN : 3031473019

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Solved Problems in Well Testing by Iraj Ershaghi Pdf

This book is about the technology of using fluid production or injection and pressure measurement signals from wellbores and relating those signals to the subsurface geology and subterranean reservoir properties. It is aimed at students of well-testing and practicing petroleum engineers or geoscience professionals for subsurface characterization and modeling.The topics include the art and science of well-test analysis, pattern recognition of rate and pressure signals, and a quantitative approach for estimating important subsurface geological parameters for subsurface aquifers and reservoirs containing oil, gas, and geothermal resources. The book is also particularly of value as a guide to asset managers actively developing unconventional reservoirs and CCUS.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 50,9 Mb
Release : 1986
Category : Electronic
ISBN : OCLC:257392359

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Statistics and Data Analysis in Geology by Anonim Pdf

Author : Philippe Doyen,Philippe M. Doyen
Publisher : Unknown
Page : 260 pages
File Size : 44,5 Mb
Release : 2007
Category : Geology
ISBN : STANFORD:36105133370051

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Seismic Reservoir Characterization by Philippe Doyen,Philippe M. Doyen Pdf