| Description |
1 online resource (324 pages) |
| Series |
Information Fusion and Data Science |
|
Information Fusion and Data Science
|
| 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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists |
| Notes |
Chapter 4: Analysis of Vibration Noise on the Fiber-Optic Gyroscope |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Oil well drilling -- Data processing
|
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Data mining.
|
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Data mining
|
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Oil well drilling -- Data processing
|
| Form |
Electronic book
|
| ISBN |
9783030340353 |
|
303034035X |
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