Numerical methods of exploration seismology : with algorithms in MATLAB / Gary F. Margrave, Michael P. Lamoureux.
By: Margrave, Gary F [author.]
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Contributor(s): Lamoureux, Michael P [author.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2019Description: 1 online resource (xi, 444 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9781316756041 (ebook).Subject(s): Geological mapping -- Data processing | Three-dimensional imaging in geology | Imaging systems in geology | Earth (Planet) -- Crust | Geology, Structural -- Data processing | Seismic reflection method | MATLABAdditional physical formats: Print version: : No titleDDC classification: 551.801/5186 Online resources: Click here to access online Summary: Exploration seismology uses seismic imaging to form detailed images of the Earth's interior, enabling the location of likely petroleum targets. Due to the size of seismic datasets, sophisticated numerical algorithms are required. This book provides a technical guide to the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. The first part introduces an extensive online library of MATLAB® seismic data processing codes maintained by the CREWES project at the University of Calgary. Later chapters then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic migration methods. Presenting a rigorous explanation of how to construct seismic images, it provides readers with practical tools and codes to pursue research projects and analyses. It is ideal for advanced students and researchers in applied geophysics, and for practicing exploration geoscientists in the oil and gas industry.
Title from publisher's bibliographic system (viewed on 04 Jan 2019).
Exploration seismology uses seismic imaging to form detailed images of the Earth's interior, enabling the location of likely petroleum targets. Due to the size of seismic datasets, sophisticated numerical algorithms are required. This book provides a technical guide to the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. The first part introduces an extensive online library of MATLAB® seismic data processing codes maintained by the CREWES project at the University of Calgary. Later chapters then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic migration methods. Presenting a rigorous explanation of how to construct seismic images, it provides readers with practical tools and codes to pursue research projects and analyses. It is ideal for advanced students and researchers in applied geophysics, and for practicing exploration geoscientists in the oil and gas industry.
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