Digital rock physics and machine learning

Digital rock physics and machine learning PDF Author: Mingliang Liu
Publisher: Frontiers Media SA
ISBN: 2832522149
Category : Science
Languages : en
Pages : 145

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Book Description

Digital rock physics and machine learning

Digital rock physics and machine learning PDF Author: Mingliang Liu
Publisher: Frontiers Media SA
ISBN: 2832522149
Category : Science
Languages : en
Pages : 145

Get Book

Book Description


The Rock Physics Handbook

The Rock Physics Handbook PDF Author: Gary Mavko
Publisher: Cambridge University Press
ISBN: 0521861365
Category : Nature
Languages : en
Pages : 525

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Book Description
A significantly expanded new edition of this practical guide to rock physics and geophysical interpretation for reservoir geophysicists and engineers.

Machine Learning and Data Science in the Oil and Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry PDF 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)

Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle

Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle PDF Author: Kurt J. Marfurt
Publisher: SEG Books
ISBN: 1560803517
Category : Petroleum
Languages : en
Pages : 509

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Book Description
Useful attributes capture and quantify key components of the seismic amplitude and texture for subsequent integration with well log, microseismic, and production data through either interactive visualization or machine learning. Although both approaches can accelerate and facilitate the interpretation process, they can by no means replace the interpreter. Interpreter “grayware” includes the incorporation and validation of depositional, diagenetic, and tectonic deformation models, the integration of rock physics systematics, and the recognition of unanticipated opportunities and hazards. This book is written to accompany and complement the 2018 SEG Distinguished Instructor Short Course that provides a rapid overview of how 3D seismic attributes provide a framework for data integration over the life of the oil and gas field. Key concepts are illustrated by example, showing modern workflows based on interactive interpretation and display as well as those aided by machine learning.

Petro-physics and Rock Physics of Carbonate Reservoirs

Petro-physics and Rock Physics of Carbonate Reservoirs PDF Author: Kumar Hemant Singh
Publisher: Springer Nature
ISBN: 9811312117
Category : Technology & Engineering
Languages : en
Pages : 299

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Book Description
This book presents selected articles from the workshop on "Challenges in Petrophysical Evaluation and Rock Physics Modeling of Carbonate Reservoirs" held at IIT Bombay in November 2017. The articles included explore the challenges associated with using well-log data, core data analysis, and their integration in the qualitative and quantitative assessment of petrophysical and elastic properties in carbonate reservoirs. The book also discusses the recent trends and advances in the area of research and development of carbonate reservoir characterization, both in industry and academia. Further, it addresses the challenging concept of porosity portioning, which has huge implications for exploration and development success in these complex reservoirs, enabling readers to understand the varying orders of deposition and diagenesis and also to model the flow and elastic properties.

Statistical Rock Physics

Statistical Rock Physics PDF Author: Gabor Korvin
Publisher: Springer Nature
ISBN: 3031467000
Category :
Languages : en
Pages : 541

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Book Description


The Rock Physics Handbook

The Rock Physics Handbook PDF Author: Gary Mavko
Publisher: Cambridge University Press
ISBN: 1108420265
Category : Business & Economics
Languages : en
Pages : 741

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Book Description
Brings together widely scattered theoretical and laboratory rock physics relations critical for modelling and interpretation of geophysical data.

The use of geosciences for exploring and predicting natural resources

The use of geosciences for exploring and predicting natural resources PDF Author: Ahmed M. Eldosouky
Publisher: Frontiers Media SA
ISBN: 2832516742
Category : Science
Languages : en
Pages : 277

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Book Description


Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks

Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks PDF Author: Behzad Ghanbarian
Publisher: John Wiley & Sons
ISBN: 1119729904
Category : Technology & Engineering
Languages : en
Pages : 388

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Book Description
Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks Understanding and predicting fluid flow in hydrocarbon shale and other non-conventional reservoir rocks Oil and natural gas reservoirs found in shale and other tight and ultra-tight porous rocks have become increasingly important sources of energy in both North America and East Asia. As a result, extensive research in recent decades has focused on the mechanisms of fluid transfer within these reservoirs, which have complex pore networks at multiple scales. Continued research into these important energy sources requires detailed knowledge of the emerging theoretical and computational developments in this field. Following a multidisciplinary approach that combines engineering, geosciences and rock physics, Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks provides both academic and industrial readers with a thorough grounding in this cutting-edge area of rock geology, combining an explanation of the underlying theories and models with practical applications in the field. Readers will also find: An introduction to the digital modeling of rocks Detailed treatment of digital rock physics, including decline curve analysis and non-Darcy flow Solutions for difficult-to-acquire measurements of key petrophysical characteristics such as shale wettability, effective permeability, stress sensitivity, and sweet spots Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks is a fundamental resource for academic and industrial researchers in hydrocarbon exploration, fluid flow, and rock physics, as well as professionals in related fields.

Quantitative Hydrogeology

Quantitative Hydrogeology PDF Author: Ghislain de Marsily
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 472

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Book Description
This book attempts to combine two separate themes: a description of one of the links in the chain of the water cycle inside the earth's crust i.e., the subsurface flow; and the quantification of the various types of this flow, obtained by applying the principles of fluid mechanics in porous media. The first part is the more descriptive, and geological of the two. It deals with the concept of water resources, which then leads us on to other links in the cycle: rainfall, infiltration, evaporation: runoff, and surface water resources. The second part is necessary to quantify groundwater resources. It points the way to other applications, such as solutions to civil engineering problems including drainage and compaction; and transport problems in porous media, including aquifer pollution by miscible fluids, multiphase flow of immiscible fluids, and heat transfer in porous media, i.e., geothermal problems. However, the qualitative and the quantitative aspects are not treated separately but combined and blended together, just as geology and hydrology are woven together in hydrogeology.