Technological Innovations In Hydrocarbon Exploration And Production Market

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Mathematical Methods and Modelling in Hydrocarbon Exploration and Production

Hydrocarbon exploration and production incorporate great technology challenges for the oil and gas industry. In order to meet the world's future demand for oil and gas, further technological advance is needed, which in turn requires research across multiple disciplines, including mathematics, geophysics, geology, petroleum engineering, signal processing, and computer science. http://www.bharatbook.com/oil-and-gas-market-research-reports/mathematical-methods-and-modelling-in-hydrocarbon-exploration-and-production.html

This book addresses important aspects and fundamental concepts in hydrocarbon exploration and production. Moreover, new developments and recent advances in the relevant research areas are discussed, whereby special emphasis is placed on mathematical methods and modelling. The book reflects the multi-disciplinary character of the hydrocarbon production workflow, ranging from seismic data imaging, seismic analysis and interpretation and geological model building, to numerical reservoir simulation. Various challenges concerning ...
... the production workflow are discussed in detail. The thirteen chapters of this joint work, authored by international experts from academic and industrial institutions, include survey papers of expository character as well as original research articles.

Large parts of the material presented in this book were developed between November 2000 and April 2004 through the European research and training network NetAGES, "Network for Automated Geometry Extraction from Seismic". The new methods described here are currently being implemented as software tools at Schlumberger Stavanger Research, one of the world's largest service providers to the oil industry.

Part I Seismic Interpretation
Introduction to Seismic Texture
Jürgen Schlaf, Trygve Randen, Lars Sønneland .
Atlas of 3D Seismic Attributes
Trygve Randen, Lars Sønneland .
The Use of Structure Tensors in the Analysis of Seismic Data
Maria Faraklioti, Maria Petrou . .
Automated Structural Interpretation Through Classification of Seismic Horizons
Hilde G. Borgos, Thorleif Skov, Lars Sønneland . . . .
Automatic Fault Extraction Using Artificial Ants
Stein Inge Pedersen, Thorleif Skov, Trygve Randen, Lars Sønneland . .

Part II Geological Model Building
Geological Modelling and Reservoir Simulation
Chris L. Farmer . . .
Geological Model Building: A Hierarchical Segmentation Approach
Erik Monsen, Trygve Randen, Lars Sønneland, Jan E. Odegard .
Mapping 3D Geo-Bodies Based on Level Set and Marching Methods
Stine Kjersti Richardsen, Trygve Randen. . . .
Modern Techniques in Seismic Tomography
Alexander A. Boukhgueim

Part III Reservoir Modeling and Simulation
From 3D Seismic Facies to Reservoir Simulation: An Example From the Grane Field
Alexis Carrillat, Brice Vallès . . 297
ADER Schemes for the Solution of Conservation Laws on Adaptive Triangulations
Martin Käser, Armin Iske .335
Optimal Multivariate Interpolation
Tobias Werther . . . 385
A Method for Ranking CO2 Flow Models Using Seismic Modeling and Time-Lapse Data
Magne Lygren, Erik Lindeberg, Per Bergmo, Geir Vaaland Dahl,
Kristine Årland Halvorsen, Trygve Randen, Lars Sønneland . . . 405
Index . .415

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