Fundamentals of Horizontal Wellbore Cleanout
Autor: | Xianzhi Song, Gensheng Li, Zhengming Xu, Subhash Shah |
---|---|
EAN: | 9780323858779 |
eBook Format: | ePUB/PDF |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 20.05.2022 |
Untertitel: | Theory and Applications of Rotary Jetting Technology |
Kategorie: | |
Schlagworte: | Cleanout fluids Cuttings transport efficiency Drag coefficient Experiment Explicit equation Horizontal well Micro-horizontal well drilling Particle settling Particle transport Research status Rotating jet Settling velocity Solids cleanout |
155,00 €*
Versandkostenfrei
Die Verfügbarkeit wird nach ihrer Bestellung bei uns geprüft.
Bücher sind in der Regel innerhalb von 1-2 Werktagen abholbereit.
Fundamentals of Horizontal Wellbore Cleanout delivers the latest methods regarding effective sand cleanout tools in horizontal wellbores. Providing the most relevant information, including sand bed formation, sand settling velocity, friction and hydraulics, this book covers the most effective tools and emerging technologies. Sections discuss the settling characteristics of sand and the effects of particle shape and size on drag coefficients, along with models for drag coefficients using experimental data. Numerical studies on sand transport efficiency as well as prediction models of sand concentration and an evaluation of friction between pipe and sand bed are also included. Illustrative case studies include cleanout with varying nozzle assemblies leading to optimum design on operation procedures, bottomhole assembly, and other lessons learned from known field experience. Rounding out with future research on cost-saving strategies including CO2 used as a washing fluid in water-sensitive formations, Fundamentals of Horizontal Wellbore Cleanout gives today's petroleum and drilling engineers alternative methods to hole cleaning in today's horizontal wells. - Presents flowcharts, methods and field studies to help readers develop cost-saving strategies and optimal performance - Helps users build their own models using the experimental data provided - Guides readers on how to build research and operation capabilities by providing extensive literature reviews and references
Dr. Xianzhi Song is the Professor of College of Petroleum Engineering and the Vice Dean of College of Artificial Intelligence, China University of Petroleum at Beijing (CUPB). He is also the Vice Director of CUPB Geothermal Research Center, and the Director of CNPC Key Laboratory of Drilling Engineering, etc. He has obtained the National Natural Science Funds for Excellent Young Scholars of China, the Awards of Science and Technology for the Excellent Youth by Sun Yue-Qi Foundation, and National Excellent Doctoral Dissertation. His research areas involve drilling and completion, geothermal exploitation, and artificial intelligence. He has authored more than 50 papers and earned 20 patents. He received his B.S degree in petroleum engineering from China University of Petroleum at East China and PHD degree in oil and gas well drilling engineering of CUPB in 2010.
Dr. Xianzhi Song is the Professor of College of Petroleum Engineering and the Vice Dean of College of Artificial Intelligence, China University of Petroleum at Beijing (CUPB). He is also the Vice Director of CUPB Geothermal Research Center, and the Director of CNPC Key Laboratory of Drilling Engineering, etc. He has obtained the National Natural Science Funds for Excellent Young Scholars of China, the Awards of Science and Technology for the Excellent Youth by Sun Yue-Qi Foundation, and National Excellent Doctoral Dissertation. His research areas involve drilling and completion, geothermal exploitation, and artificial intelligence. He has authored more than 50 papers and earned 20 patents. He received his B.S degree in petroleum engineering from China University of Petroleum at East China and PHD degree in oil and gas well drilling engineering of CUPB in 2010.