This volume describes how controlled-source electromagnetic (CSEM) methods are used to determine the electrical conductivity and hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. The authors show how the signal-to-noise ratio of the measured data may be maximised via suitable choice of acquisition and processing parameters and selection of subsequent data analysis procedures. Complete impulse responses for every electric and magnetic source and receiver configuration are derived, providing a guide to the expected response for real data. 1-D, 2-D and 3-D modelling and inversion procedures for recovery of Earth conductivity are presented, emphasising the importance of updating model parameters using complementary geophysical data and rock physics relations. Requiring no specialist prior knowledge of electromagnetic theory, and providing a step-by-step guide through the necessary mathematics, this book provides an accessible introduction for advanced students, researchers and industry practitioners in exploration geoscience and petroleum engineering.
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Anton Ziolkowski is Professor of Petroleum Geoscience at the University of Edinburgh. He co-invented the Multichannel Transient Electromagnetic (MTEM) surveying method for hydrocarbon reservoir detection and co-led the technology spin-out. He is a member of the Institute of Electrical and Electronics Engineers and the American Geophysical Union, an honorary member of the Society of Exploration Geophysicists, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society of Edinburgh. He has received the Conrad Schlumberger and Desiderius Erasmus awards of the European Association of Geoscientists and Engineers.
Evert Slob is Professor of Geophysical Electromagnetic Methods at theTechnische Universiteit Delft, The Netherlands, where he teaches undergraduate and graduate classes. He was Editor-in-chief of the journal Geophysics and on the board of directors of the Society of Exploration Geophysicists from 2013–15, of which he remains a member. He is also a member of the European Association of Geoscientists and Engineers, and the American Geophysical Union.
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Hardcover. Condición: new. Hardcover. This volume describes how controlled-source electromagnetic (CSEM) methods are used to determine the electrical conductivity and hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. The authors show how the signal-to-noise ratio of the measured data may be maximised via suitable choice of acquisition and processing parameters and selection of subsequent data analysis procedures. Complete impulse responses for every electric and magnetic source and receiver configuration are derived, providing a guide to the expected response for real data. 1-D, 2-D and 3-D modelling and inversion procedures for recovery of Earth conductivity are presented, emphasising the importance of updating model parameters using complementary geophysical data and rock physics relations. Requiring no specialist prior knowledge of electromagnetic theory, and providing a step-by-step guide through the necessary mathematics, this book provides an accessible introduction for advanced students, researchers and industry practitioners in exploration geoscience and petroleum engineering. This accessible volume shows how controlled-source electromagnetic (CSEM) methods are used to determine the electrical conductivity and hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. Complemented by Python codes for reproducing model results, it is an excellent resource for exploration geoscientists and petroleum engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781107058620
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This accessible volume shows how controlled-source electromagnetic (CSEM) methods are used to determine the electrical conductivity and hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. Complemented by Python codes for reprod. Nº de ref. del artículo: 257152633
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