An accessible guide to using the rock physics-based forward modeling approach for seismic subsurface mapping, for researchers and petroleum geologists.
Seismic 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.
An accessible guide to using the rock physics-based forward modeling approach for seismic subsurface mapping, for researchers and petroleum geologists.
A Sephardi Sea tells the story of Jews from the southern shore of the Mediterranean who, between the late 1940s and the mid-1960s, migrated from their country of birth for Europe, Israel, and beyond. It is a story that explores their contrasting memories of and feelings for a Sephardi Jewish world in North Africa and Egypt that is lost forever but whose echoes many still hear. Surely, some of these Jewish migrants were already familiar with their new countries of residence because of colonial ties or of Zionism, and often spoke the language. Why, then, was the act of leaving so painful and why, more than fifty years afterward, is its memory still so tangible? Dario Miccoli examines how the memories of a bygone Sephardi Mediterranean world became preserved in three national contexts—Israel, France, and Italy—where the Jews of the Middle East and North Africa and their descendants migrated and nowadays live. A Sephardi Sea explores how practices of memory- and heritage-making—from the writing of novels and memoirs to the opening of museums and memorials, the activities of heritage associations and state-led celebrations—has filled an identity vacuum in the three countries and helps the Jews from North Africa and Egypt to define their Jewishness in Europe and Israel today but also reinforce their connection to a vanished world now remembered with nostalgia, affection, and sadness.
One of the most significant events in the history of Western civilization was the cosmological revolution of the 16th and 17th centuries. Among the most salient factors in this change, described by Alexandre Koyré as the ‘destruction of the cosmos’ inherited from ancient Greece, were Copernican heliocentrism and the substitution of a homogeneous universe for the hierarchical cosmos of the Platonic and Aristotelian tradition. Starting with a new approach to the issue of the presence of Islamic astronomical devices in Copernicus’ work and a thorough reappraisal of the cosmological views of Paracelsus, the book deals mainly with the abolition of cosmological dualism and the ways in which it affected the decline of astrology over the 17th century. Other related topics include planetary order and theories of world harmony, the cause of planetary motion in the Tychonic world system or the discussion on comets in Germany through the first presentation of a manuscript treatise by Michael Maestlin on the great comet of 1618.
In Gold We Trust is a historical and sociological account of how, by the late 1960s, three small Italian towns had come to lead the world in the production of gold jewelry--even though they had virtually no jewelry industry less than a century before, and even though Italy had western Europe's most restrictive gold laws. It is a distinctive but paradigmatic story of how northern Italy performed its post-World War II economic miracle by creating localized but globally connected informal economies, in which smuggling, tax evasion, and the violation of labor standards coexisted with ongoing deliberation over institutional change and the benefits of political participation. The Italian gold jewelry industry thrived, Dario Gaggio argues, because the citizens of these towns--Valenza Po in Piedmont, Vicenza in the Veneto, and Arezzo in Tuscany--uneasily mixed familial affection, political loyalties, and the instrumental calculation of the market, blurring the distinction between private interests and public good. But through a comparison with the jewelry district of Providence, Rhode Island, Gaggio also shows that these Italian towns weren't unique in the ways they navigated the challenges posed by the embeddedness of economic action in the fabric of social life. By drawing from a variety of disciplinary backgrounds, ranging from economic sociology to political theory, Gaggio recasts the meanings of trust, embeddedness, and social capital, and challenges simple dichotomies between northern and southern Italy.
Seismic 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.
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