Automated Pattern Analysis in Petroleum Exploration (eBook, PDF)

Redaktion: Palaz, Ibrahim; Sengupta, Sailes K.

• Format: PDF

Produktbeschreibung

Here is a state-of-the-art survey of artificial intelligence in modern exploration programs. Focussing on standard exploration procedures, the contributions examine the advantages and pitfalls of using these new techniques, and, in the process, provide new, more accurate and consistent methods for solving old problems. They show how expert systems can provide the integration of information that is essential in the petroleum industry when solving the complicated questions facing the modern petroleum geoscientist.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 296
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461243885
• Artikelnr.: 44181326

Inhaltsangabe

1 The Use of Artificial Intelligence for Model Identification in Well Test Interpretation.- 2 Artificial Intelligence in Formation Evaluation.- 3 Intelligent Knowledge Based Systems and Seismic Interpretation.- 4 An Expert System for the Design of Array Parameters for Onshore Seismic Surveys.- 5 An Expert System to Assist in Processing Vertical Seismic Profiles.- 6 Expert Systems for Seismic Interpretations and Validation of Simulated Stacking Velocity Functions.- 7 Pattern Recognition to Seismic Exploration.- 8 Pattern Recognition for Marine Seismic Exploration.- 9 Clustering of Attributes by Projection Pursuit for Reservoir Characterization.- 10 Exploring the Fractal Mountains.- 11 Image Analysis of Particle Shape.- 12 Interactive Image Analysis of Borehole Televiewer Data.- 13 Petrographic Image Analysis: An Alternate Method for Determining Petrophysical Properties.- 14 Image Processing of Magnetic Data and Application of Integrated Interpretation for Mineral Resources Detection in Yiesan Area, East China.- 15 Interactive Three-Dimensional Seismic Display by Volumetric Rendering.