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Books > Earth & environment > Earth sciences > Geology & the lithosphere > Geological surface processes (geomorphology)
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Remote Sensing for Hydrocarbon Exploration (Hardcover, 1st ed. 2022)
Loot Price: R4,154
Discovery Miles 41 540
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Remote Sensing for Hydrocarbon Exploration (Hardcover, 1st ed. 2022)
Series: Springer Remote Sensing/Photogrammetry
Expected to ship within 12 - 17 working days
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This book provides insights into the benefits of using remote
sensing data from a geoscientist's perspective, by integrating the
data with the understanding of Earth's surface and subsurface. In 3
sections, the book takes a detailed look at what data
explorationists use when they explore for hydrocarbon resources,
assess different terrain types for planning and hazards and extract
present-day geologic analogs for subsurface geologic settings. The
book presents the usage of remote sensing data in exploration in a
structured way by detecting individual geologic features as
building blocks for complex geologic systems. This concept enables
readers to build their own workflows for the assessment of complex
geologic systems using various combinations of remote sensing data.
Section 1 introduces readers to the foundations of remote sensing
for exploration, covers various methods of image processing and
studies different digital elevation and bathymetry models. Section
2 presents the concept of geomorphology as a means to integrate
surface and subsurface data. Different aspects of rendering in 2D
and 3D are explained and used for the interpretation and extraction
of geologic features that are used in exploration. Section 3
addresses remote sensing for hydrocarbon exploration in detail,
from geophysical data acquisition to development and infrastructure
planning. The organization of this chapter follows an exploration
workflow from regional to local modeling studying basin and
petroleum system modeling as well as logistics planning of seismic
surveys and near-surface modeling. Aspects of field development and
infrastructure planning comprise multi-temporal and dynamic
modeling. The section closes with a structured approach to
extracting geologic analogs from interpreted remote sensing data.
The book will be of interest to professionals and students working
in exploration for hydrocarbons and water resources, as well as
geoscientists and engineers using remote sensing for infrastructure
planning, hazard assessment and dynamic environmental studies.
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