Data analytics for drilling engineering : theory, algorithms, experiments, software /: theory, algorithms, experiments, software. (2020)
- Record Type:
- Book
- Title:
- Data analytics for drilling engineering : theory, algorithms, experiments, software /: theory, algorithms, experiments, software. (2020)
- Main Title:
- Data analytics for drilling engineering : theory, algorithms, experiments, software
- Further Information:
- Note: Qilong Xue.
- Other Names:
- Xue, Qilong
- Contents:
- Intro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Application of Data Processing in Drilling Engineering: A Review -- 1.1 Theory -- 1.2 Experiments -- 1.3 Algorithms and Software -- References -- Chapter 2: Signal Detection and Processing of Downhole Information Transmission -- 2.1 Introduction -- 2.2 Characteristics and Processing Methods of Sinusoidal Pressure Wave Signal -- 2.2.1 Rotary Valve Mud Pulse Generator -- 2.2.2 Mechanism of Pressure Wave Signal Generation -- 2.2.3 Transmission Characteristics of Continuous Pulse Signal 2.2.4 Drilling Fluid Pulse Signal Transmission Characteristics and Noise Analysis -- 2.2.5 The Encoding and Modulation of the Pulse Signal Carrier Data -- 2.2.6 Ground Signal Receiving and Data Processing -- 2.3 Acoustic Signal Transmission Technology -- 2.3.1 Acoustic Transmission System Model of Data while Drilling -- 2.3.2 Types and Characteristics of Acoustic Wave through Pipeline Transmission -- 2.3.3 Attenuation Characteristics of Acoustic Propagation along Tubing String -- 2.3.4 Noise Interference Characteristics and Model -- 2.4 Electromagnetic Transmission Mode 2.4.1 EM-MWD Electromagnetic Communication Channel -- 2.4.2 The Transmission Characteristics of Electromagnetic Wave in Formation -- 2.4.3 The Transmission Characteristics of Electromagnetic Wave in Drill Pipe -- 2.4.4 The Attenuation Model of Downhole Electromagnetic Signal -- 2.5 Remote Transmission System of the IntelliPipe Data -- 2.5.1 Principle of Signal InductiveIntro -- Preface -- Acknowledgments -- Contents -- Chapter 1: Application of Data Processing in Drilling Engineering: A Review -- 1.1 Theory -- 1.2 Experiments -- 1.3 Algorithms and Software -- References -- Chapter 2: Signal Detection and Processing of Downhole Information Transmission -- 2.1 Introduction -- 2.2 Characteristics and Processing Methods of Sinusoidal Pressure Wave Signal -- 2.2.1 Rotary Valve Mud Pulse Generator -- 2.2.2 Mechanism of Pressure Wave Signal Generation -- 2.2.3 Transmission Characteristics of Continuous Pulse Signal 2.2.4 Drilling Fluid Pulse Signal Transmission Characteristics and Noise Analysis -- 2.2.5 The Encoding and Modulation of the Pulse Signal Carrier Data -- 2.2.6 Ground Signal Receiving and Data Processing -- 2.3 Acoustic Signal Transmission Technology -- 2.3.1 Acoustic Transmission System Model of Data while Drilling -- 2.3.2 Types and Characteristics of Acoustic Wave through Pipeline Transmission -- 2.3.3 Attenuation Characteristics of Acoustic Propagation along Tubing String -- 2.3.4 Noise Interference Characteristics and Model -- 2.4 Electromagnetic Transmission Mode 2.4.1 EM-MWD Electromagnetic Communication Channel -- 2.4.2 The Transmission Characteristics of Electromagnetic Wave in Formation -- 2.4.3 The Transmission Characteristics of Electromagnetic Wave in Drill Pipe -- 2.4.4 The Attenuation Model of Downhole Electromagnetic Signal -- 2.5 Remote Transmission System of the IntelliPipe Data -- 2.5.1 Principle of Signal Inductive Coupling Transmission -- 2.5.2 The Circuit Model of an Inductive Coupler -- 2.5.3 The Circuit Model of the Magnetic Inductive Transmission -- 2.5.4 Advantages and Disadvantages of Intelligent Drillpipe Transmission Technology 2.6 Summary -- References -- Chapter 3: Dynamic Measurement of Spatial Attitude at the Bottom Rotating Drillstring -- 3.1 Introduction -- 3.2 Construction of Measurement System -- 3.3 Stationary Surveying -- 3.4 Dynamic Solver of Inclination and Azimuth -- 3.4.1 Magnetic Basis Measurement System -- 3.4.2 Gyro Based Measurement System -- 3.4.3 Quaternion Solution Method -- 3.5 Calibration Model for Installation Error -- 3.5.1 Mathematical Model -- 3.5.2 Experimental Methods -- 3.5.3 Performance Results after Calibration -- 3.6 Dynamic Algorithm for Stick-Slip Motion (DAS) -- 3.6.1 Experiment Data 3.6.2 Field Data Analysis -- 3.6.2.1 Measurement Data Performance -- 3.6.2.2 Analysis of Stick-Slip Vibration Phenomena -- 3.6.3 Utilizing Stick-Slip Vibration to Improve Measurement Accuracy -- 3.6.3.1 Application Methodology of Stick-Slip Vibration -- 3.6.3.2 Kalman Filter Approach -- 3.6.4 Simulation Results -- 3.7 New Kalman Filter Approach -- 3.7.1 State-Space Model for KF-1 -- 3.7.2 Calculating the Inclination and Azimuth -- 3.7.3 State-Space Model for KF-2 -- 3.7.4 Experimental Results -- 3.7.4.1 Laboratory Testing -- 3.7.4.2 Field-Drilling Testing -- 3.8 Conclusion -- References … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (324 pages)
- Subjects:
- 622/.33810285
Oil well drilling -- Data processing
Data mining
Data mining
Oil well drilling -- Data processing
Electronic books - Languages:
- English
- ISBNs:
- 9783030340353
- Related ISBNs:
- 303034035X
9783030340346
3030340341 - Notes:
- Note: Includes bibliographical references.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.480932
- Ingest File:
- 03_032.xml