Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance
Language: English
Published by Springer Dez 2026, 2026
- Hardcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 160.97
Quantity: 1 available
Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. It begins with transformer models for forecasting rate of penetration in geothermal wells, followed by methods for predicting both penetration and downhole shock in coiled tubing drilling. A variational autoencoder framework is introduced for diagnosing resistivity tool anomalies to support reliable geosteering. Subsequent chapters examine the use of deep autoencoders and separation networks to improve electromagnetic telemetry signals. This book also details synthetic data driven models combined with physics-based degradation approaches to forecast the remaining useful life of drilling equipment. Hybrid strategies for generating synthetic data are discussed to extend model training in scenarios with limited failure records. Each chapter blends technical insights with real-world case studies, demonstrating how these methods reduce non-productive time, improve tool reliability, and strengthen decision making in drilling operations.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.…
Seller Inventory # 9783032266477
- Title
- Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance
- Author
- Xuqing Wu
- Publisher
- Springer Dez 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3032266475
- ISBN 13
- 9783032266477
- Item weight
- 458 grams
- Dimensions
- 260x183x13 mm
This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. It begins with transformer models for forecasting rate of penetration in geothermal wells, followed by methods for predicting both penetration and downhole shock in coiled tubing drilling. A variational autoencoder framework is introduced for diagnosing resistivity tool anomalies to support reliable geosteering. Subsequent chapters examine the use of deep autoencoders and separation networks to improve electromagnetic telemetry signals. This book also details synthetic data driven models combined with physics-based degradation approaches to forecast the remaining useful life of drilling equipment. Hybrid strategies for generating synthetic data are discussed to extend model training in scenarios with limited failure records. Each chapter blends technical insights with real-world case studies, demonstrating how these methods reduce non-productive time, improve tool reliability, and strengthen decision making in drilling operations.
"Synopsis" may belong to another edition of this title.
About the Author
Carlos Urdaneta received his Masters degree in Electrical Engineering from Rice University. He has worked for SLB in new product development since 2011. He is a Ph.D. candidate at the department of Electrical and Computer Engineering, University of Houston. His current research focuses on integrating AI models into drilling workflows, emphasizing predictive maintenance, dynamic forecasting, and telemetry signal improvement.
Aamir Bader Shah received his BS. degree in Electrical Engineering at the NUST University and a Masters degree in Embedded System and Controls from the University of Leicester. He is currently a Ph.D. candidate at the department of Electrical and Computer Engineering at the University of Houston. His current research focuses on predicting remaining useful life in downhole drilling equipment.
Xuqing Wu received the Ph.D. degree in Computer Science from the University of Houston. He is currently an Associate Professor of Computer Information Systems with the College of Technology, University of Houston. Prior to joining the University of Houston in 2015, he was a Data Scientist and Software Engineer of the Energy and IT industry. His research interests include scientific machine learning, probabilistic modeling, and subsurface sensing.
Xin Fu received the Ph.D. degree in computer engineering from the University of Florida, Gainesville, in 2009. She is currently a Professor with the Electrical and Computer Engineering Department, University of Houston, Houston, TX, USA. Her research interests include computer architecture, high-performance computing, hardware reliability and variability, energy-efficient computing, and mobile computing.
Jiefu Chen is an Associate Professor with the Department of Electrical and Computer Engineering, University of Houston. He received the Ph.D. degree in Electrical Engineering from Duke University. From 2011 to 2015, he was a Staff Scientist with Weatherford. He has published over 100 papers in computational electromagnetics, inverse problems, machine learning, oilfield data analytics, seismic data processing, subsurface wireless communication, and well logging.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
Shipping rates from Germany to U.S.A.
| Item | 60 to 60 business days | 60 to 60 business days |
|---|---|---|
| First item | £ 51.55 | £ 64.44 |
Payment methods
- Check
- Paypal
Store description
Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur
Specialty
Modernes Antiquariat - Bücher von 1960 bis heuteSeller's business information
buchversandmimpf2000
Germany
Terms of sale
Impressum
Gesetzliche Anbieterkennung:
Thorsten Retsch
Buchversand Mimpf2000
Oberölschnitz 16
95517 Emtmannsberg
Deutschland
Telefon: 092092023188
E-Mail: order@buchversandmimpf2000.de
USt-IdNr.: DE 235096871
Alternative Streitbeilegung:
Die Europäische Kommission stellt eine Plattform für die außergerichtliche Online-Streitbeilegung (OS-Plattform) bereit, aufrufbar unter http://ec.europa.eu/odr.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to buchversandmimpf2000, Emtmannsberg, BAYE, Germany, +49 09209-2023188, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Soweit in der Artikelbeschreibung keine andere Frist angegeben ist, erfolgt die Lieferung der Ware innerhalb von 3-5 Werktagen nach Vertragsschluss, bei Vorauszahlung erst nach Eingang des vollständigen Kaufpreises und der Versandkosten. Alle Preise inkl. MwSt.