Contributions from the Geological Department of Columbia University ...
Author: Columbia University. Dept. of Geology
Publisher:
Published: 1903
Total Pages: 506
ISBN-13:
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Author: Columbia University. Dept. of Geology
Publisher:
Published: 1903
Total Pages: 506
ISBN-13:
DOWNLOAD EBOOKAuthor: Georgia. Department of Mines, Mining, and Geology
Publisher:
Published: 1894
Total Pages: 168
ISBN-13:
DOWNLOAD EBOOKAuthor: Geological Survey (U.S.)
Publisher:
Published: 1987
Total Pages: 672
ISBN-13:
DOWNLOAD EBOOKAuthor: OHIO. DEPT. OF NATURAL RESOURCES. DIVISION OF GEOLOGICAL SURVEY.
Publisher:
Published:
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: William Harmon Norton
Publisher: Book Jungle
Published: 2009-03-31
Total Pages: 304
ISBN-13: 9781603031691
DOWNLOAD EBOOKWilliam Harmon Norton was Professor of geology at Cornell University. Norton wrote this textbook wanting to develop the relationship between causes and their effects in a clear cut manner. Norton stresses the importance of the teacher using field study and observation along with the text. The book is divided into three sections. External geology concentrates on weather, glaciers, wind etc. Internal geology studies the earthżs crust, earthquakes, volcanoes etc. The final section, historical geology, covers carboniferous, Mesozoic, tertiary, etc.
Author: Mysore (India : State). Dept. of Mines and Geology
Publisher:
Published: 1923
Total Pages: 1118
ISBN-13:
DOWNLOAD EBOOKAuthor: University of California, Berkeley. Dept. of Geology
Publisher:
Published: 1902
Total Pages: 566
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1964
Total Pages: 458
ISBN-13:
DOWNLOAD EBOOKAuthor: David Samuel Tucker
Publisher: Mountain Press
Published: 2015
Total Pages: 0
ISBN-13: 9780878426409
DOWNLOAD EBOOKIn Geology Underfoot in Western Washington, the most recent addition to the Geology Underfoot series, author and geoscientist Dave Tucker narrates western Washington�s geologic tales, covering sites from it�s low-lying shorelines to its rugged mountaintops. The book�s 22 chapters, or vignettes, lead you to easily accessible stops along Washington�s highways�and some trails, too.
Author: Dario Grana
Publisher: John Wiley & Sons
Published: 2021-05-04
Total Pages: 256
ISBN-13: 1119086205
DOWNLOAD EBOOKSeismic reservoir characterization aims to build 3-dimensional models of rock and fluid properties, including elastic and petrophysical variables, to describe and monitor the state of the subsurface for hydrocarbon exploration and production and for CO2 sequestration. Rock physics modeling and seismic wave propagation theory provide a set of physical equations to predict the seismic response of subsurface rocks based on their elastic and petrophysical properties. However, the rock and fluid properties are generally unknown and surface geophysical measurements are often the only available data to constrain reservoir models far away from well control. Therefore, reservoir properties are generally estimated from geophysical data as a solution of an inverse problem, by combining rock physics and seismic models with inverse theory and geostatistical methods, in the context of the geological modeling of the subsurface. A probabilistic approach to the inverse problem provides the probability distribution of rock and fluid properties given the measured geophysical data and allows quantifying the uncertainty of the predicted results. The reservoir characterization problem includes both discrete properties, such as facies or rock types, and continuous properties, such as porosity, mineral volumes, fluid saturations, seismic velocities and density. Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies.