{"product_id":"seismic-reservoir-modeling-dario-grana-9781119086185","title":"Seismic Reservoir Modeling: Theory, Examples, and Algorithms","description":"\u003cp\u003eSeismic 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. \u003c\/p\u003e \u003cp\u003e\u003ci\u003eSeismic Reservoir Modeling: \u003c\/i\u003e\u003ci\u003eTheory, Examples and Algorithms\u003c\/i\u003e 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. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Dario Grana, Tapan Mukerji, Philippe Doyen\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1119086183\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781119086185\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-Blackwell\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/19\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 272\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.47lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.63d","brand":"Dario Grana","offers":[{"title":"Hardcover","offer_id":44149498577151,"sku":"9781119086185","price":118.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_1cf93147-c9ca-47ef-9e1c-bc3749ec7a54.jpg?v=1688457035","url":"https:\/\/www.whiterainbookhouse.com\/products\/seismic-reservoir-modeling-dario-grana-9781119086185","provider":"WR Book House","version":"1.0","type":"link"}