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Borehole acoustic loggingtheory and ...

Fehler, Michael C.

Borehole acoustic loggingtheory and methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Borehole acoustic loggingby Hua Wang, M. Nafi Toksoz, Michael C Fehler.
Reminder of title:	theory and methods /
Author:	Wang, Hua.
other author:	Toksoz, M. Nafi.
Published:	Cham :Springer International Publishing :2020.
Description:	xi, 317 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Oil well logging, Acoustic.
Online resource:	https://doi.org/10.1007/978-3-030-51423-5
ISBN:	9783030514235$q(electronic bk.)

Borehole acoustic loggingtheory and methods /
Wang, Hua.

Borehole acoustic loggingtheory and methods /[electronic resource] :by Hua Wang, M. Nafi Toksoz, Michael C Fehler. - Cham :Springer International Publishing :2020. - xi, 317 p. :ill., digital ;24 cm. - Petroleum engineering,2366-2646. - Petroleum engineering..

Introduction -- Simulation Methods -- Treatment on the Challenges of Large Material Contrasts for Numerical Simulation -- Advanced Data Processing Method on Array Data -- Wave Propagation in Logging-While-Drilling Environment: Centralized Tool Cases -- The Wavefield of a Multipole Acoustic LWD Tool in Horizontal and Highly Deviated Wells -- A Geosteering Logging Technique: Acoustic Reflection Imaging Method -- Understanding Acoustic Methods for Cement Bond Logging -- Summary.

This book covers the principles, historical development, and applications of many acoustic logging methods, including acoustic logging-while-drilling and cased-hole logging methods. Benefiting from the rapid development of information technology, the subsurface energy resource industry is moving toward data integration to increase the efficiency of decision making through the use of advanced big data and artificial intelligence technologies, such as machine/deep learning. However, wellbore failure may happen if evaluations of risk and infrastructure are made using data mining methods without a complete understanding of the physics of borehole measurements. Processed results from borehole acoustic logging will constitute part of the input data used for data integration. Therefore, to successfully employ modern techniques for data assimilation and analysis, one must fully understand the complexity of wave mode propagation, how such propagation is influenced by the well, and the materials placed within the well (i.e., the cement, casing, and drill strings), and ultimately how waves penetrate into and are influenced by geological formations. State-of-the-art simulation methods, such as the discrete wavenumber integration method (DWM) and the finite difference method (FDM), are introduced to tackle the numerical challenges associated with models containing large material contrasts, such as the contrasts between borehole fluids and steel casings. Waveforms and pressure snapshots are shown to help the reader understand the wavefields under various conditions. Advanced data processing methods, including velocity analyses within the time and frequency domains, are utilized to extract the velocities of different modes. Furthermore, the authors discuss how various formation parameters influence the waveforms recorded in the borehole and describe the principles of both existing and potential tool designs and data acquisition schemes. This book greatly benefits from the research and knowledge generated over four decades at the Earth Resources Laboratory (ERL) of the Massachusetts Institute of Technology (MIT) under its acoustic logging program. Given its scope, the book is of interest to geophysicists (including borehole geophysicists and seismologists), petrophysicists, and petroleum engineers who are interested in formation evaluation and cementation conditions. In addition, this book is of interest to researchers in the acoustic sciences and to 4th-year undergraduate and postgraduate students in the areas of geophysics and acoustical physics.

ISBN: 9783030514235$q(electronic bk.)

Standard No.: 10.1007/978-3-030-51423-5doiSubjects--Topical Terms:

874232
Oil well logging, Acoustic.

LC Class. No.: TN871.35

Dewey Class. No.: 622.18282

Borehole acoustic loggingtheory and methods /
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245 1 0 $a Borehole acoustic logging $h [electronic resource] : $b theory and methods / $c by Hua Wang, M. Nafi Toksoz, Michael C Fehler.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xi, 317 p. : $b ill., digital ; $c 24 cm.
490 1 $a Petroleum engineering, $x 2366-2646
505 0 $a Introduction -- Simulation Methods -- Treatment on the Challenges of Large Material Contrasts for Numerical Simulation -- Advanced Data Processing Method on Array Data -- Wave Propagation in Logging-While-Drilling Environment: Centralized Tool Cases -- The Wavefield of a Multipole Acoustic LWD Tool in Horizontal and Highly Deviated Wells -- A Geosteering Logging Technique: Acoustic Reflection Imaging Method -- Understanding Acoustic Methods for Cement Bond Logging -- Summary.
520 $a This book covers the principles, historical development, and applications of many acoustic logging methods, including acoustic logging-while-drilling and cased-hole logging methods. Benefiting from the rapid development of information technology, the subsurface energy resource industry is moving toward data integration to increase the efficiency of decision making through the use of advanced big data and artificial intelligence technologies, such as machine/deep learning. However, wellbore failure may happen if evaluations of risk and infrastructure are made using data mining methods without a complete understanding of the physics of borehole measurements. Processed results from borehole acoustic logging will constitute part of the input data used for data integration. Therefore, to successfully employ modern techniques for data assimilation and analysis, one must fully understand the complexity of wave mode propagation, how such propagation is influenced by the well, and the materials placed within the well (i.e., the cement, casing, and drill strings), and ultimately how waves penetrate into and are influenced by geological formations. State-of-the-art simulation methods, such as the discrete wavenumber integration method (DWM) and the finite difference method (FDM), are introduced to tackle the numerical challenges associated with models containing large material contrasts, such as the contrasts between borehole fluids and steel casings. Waveforms and pressure snapshots are shown to help the reader understand the wavefields under various conditions. Advanced data processing methods, including velocity analyses within the time and frequency domains, are utilized to extract the velocities of different modes. Furthermore, the authors discuss how various formation parameters influence the waveforms recorded in the borehole and describe the principles of both existing and potential tool designs and data acquisition schemes. This book greatly benefits from the research and knowledge generated over four decades at the Earth Resources Laboratory (ERL) of the Massachusetts Institute of Technology (MIT) under its acoustic logging program. Given its scope, the book is of interest to geophysicists (including borehole geophysicists and seismologists), petrophysicists, and petroleum engineers who are interested in formation evaluation and cementation conditions. In addition, this book is of interest to researchers in the acoustic sciences and to 4th-year undergraduate and postgraduate students in the areas of geophysics and acoustical physics.
650 0 $a Oil well logging, Acoustic. $3 874232
650 0 $a Borehole mining. $3 848164
650 1 4 $a Fossil Fuels (incl. Carbon Capture) $3 515750
650 2 4 $a Engineering Acoustics. $3 357294
650 2 4 $a Geotechnical Engineering & Applied Earth Sciences. $3 542182
700 1 $a Toksoz, M. Nafi. $3 874231
700 1 $a Fehler, Michael C. $3 338649
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Petroleum engineering. $3 839062
856 4 0 $u https://doi.org/10.1007/978-3-030-51423-5
950 $a Energy (SpringerNature-40367)