Distributed Acoustic Sensing for Seismic Measurements

What Geophysicists and Engineers Need to Know

Häftad, Engelska, 2023

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Geoscientists and engineers are very comfortable using seismic data sets acquired with geophones, hydrophones, and accelerometers because we have a long, well-defined set of standards for acquiring, processing, and interpreting them. However, distributed acoustic sensing (DAS) seismic measurements are rapidly augmenting, and in some cases replacing, the data from these conventional tools. Technologists are frequently unaccustomed to using DAS seismic data sets since it directly acquires relative strain or strain rate measurements and not the more familiar pressure, displacement, velocity, and acceleration data. There are also acquisition parameter selections that must be made to optimize the acquired data to accomplish the purpose of the seismic survey. This book is designed to build an intuition and understanding of the value, limitations, and applications of DAS seismic technology.

Produktinformation

Utgivningsdatum2023-01-30
Mått270 x 280 x 190 mm
Vikt510 g
FormatHäftad
SpråkEngelska
SerieDistinguished Instructor
Antal sidor174
FörlagSociety of Exploration Geophysicists
ISBN9781560803843

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Mark E. Willis is the Chief Scientific Advisor of Borehole Seismics at Halliburton. He is responsible for mentoring technologists, developing and promoting geophysical innovations, and fostering long-term client relationships. Previous to joining Halliburton in 2011, he worked in various research technology, supervisory, and management positions at Mobil Oil, Cambridge GeoSciences, Massachusetts Institute of Technology (MIT) Earth Resources Laboratory, and ConocoPhillips. In his career, he has performed research and development in distributed acoustic sensing, vertical seismic profiling (VSP) technology, deep sonic log imaging, fracture identification using seismic data (time lapse VSP, microseismics, and surface seismic scattering), interferometric imaging, Kirchhoff and reverse time depth migration, full waveform inversion, machine learning, velocity model building, and sonic waveform processing. Willis holds a B.S. in applied math and physics from the University of Wisconsin–Milwaukee and a Ph.D. in geophysics from MIT. He has written more than 100 papers, publications, and presentations, and he holds multiple patents. He is a member of SEG, SPE, EAGE, SSA, SPWLA, and ASA.