1st Edition
by Wilson C. Chin (Author), Yinao Su (Author), Limin Sheng (Author), Lin Li (Author), Hailong Bian (Author), Rong Shi (Author)
Trade magazines and review articles describe MWD in casual terms,
e.g., positive versus negative pulsers, continuous wave systems,
drilling channel noise and attenuation, in very simple terms absent of
technical rigor. However, few truly scientific discussions are
available on existing methods, let alone the advances necessary for
high-data-rate telemetry. Without a strong foundation building on solid
acoustic principles, rigorous mathematics, and of course, fast,
inexpensive and efficient testing of mechanical designs, low data rates
will impose unacceptable quality issues to real-time formation
evaluation for years to come.
This book promises to change all of
this. The lead author and M.I.T. educated scientist, Wilson Chin, and
Yinao Su, Academician, Chinese Academy of Engineering, and other team
members, have written the only book available that develops mud
pulse telemetry from first principles, adapting sound acoustic
principles to rigorous signal processing and efficient wind tunnel
testing. In fact, the methods and telemetry principles developed in the
book were recently adopted by one of the world’s largest industrial
corporations in its mission to redefine the face of MWD.
The entire engineering history for continuous wave telemetry is covered: anecdotal stories and their fallacies, original hardware problems and their solutions, different noise mechanisms and their signal processing solutions, apparent paradoxes encountered in field tests and simple explanations to complicated questions, and so on, are discussed in complete “tell all” detail for students, research professors and professional engineers alike. These include signal processing algorithms, signal enhancement methods, and highly efficient “short” and “long wind tunnel” test methods, whose results can be dynamically re-scaled to real muds flowing at any speed. A must read for all petroleum engineering professionals!
