Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software

Description

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. Front Matter ....Pages i-xiii Application of Data Processing in Drilling Engineering: A Review (Qilong Xue)....Pages 1-12 Signal Detection and Processing of Downhole Information Transmission (Qilong Xue)....Pages 13-60 Dynamic Measurement of Spatial Attitude at the Bottom Rotating Drillstring (Qilong Xue)....Pages 61-114 Analysis of Vibration Noise on the Fiber-Optic Gyroscope (Qilong Xue)....Pages 115-137 Measurement and Analysis of Drillstring Dynamics (Qilong Xue)....Pages 139-204 Data Processing and Mining in Seismic While Drilling (Qilong Xue)....Pages 205-246 Signal Processing in Logging While Drilling (Qilong Xue)....Pages 247-278 Prospect of Big Data Application in Drilling Engineering (Qilong Xue)....Pages 279-312