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{ "item_title" : "Fractal Models in Exploration Geophysics", "item_author" : [" V. P. Dimri", "R. P. Srivastava", "Nimisha Vedanti "], "item_description" : "Researchers in the field of exploration geophysics have developed new methods for the acquisition, processing and interpretation of gravity and magnetic data, based on detailed investigations of bore wells around the globe. Fractal Models in Exploration Geophysics describes fractal-based models for characterizing these complex subsurface geological structures. The authors introduce the inverse problem using a fractal approach which they then develop with the implementation of a global optimization algorithm for seismic data: very fast simulated annealing (VFSA). This approach provides high-resolution inverse modeling results--particularly useful for reservoir characterization.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/08/045/158/0080451586_b.jpg", "price_data" : { "retail_price" : "165.00", "online_price" : "165.00", "our_price" : "165.00", "club_price" : "165.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Fractal Models in Exploration Geophysics|V. P. Dimri

Fractal Models in Exploration Geophysics : Applications to Hydrocarbon Reservoirs Volume 41

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Overview

Researchers in the field of exploration geophysics have developed new methods for the acquisition, processing and interpretation of gravity and magnetic data, based on detailed investigations of bore wells around the globe. Fractal Models in Exploration Geophysics describes fractal-based models for characterizing these complex subsurface geological structures.

The authors introduce the inverse problem using a fractal approach which they then develop with the implementation of a global optimization algorithm for seismic data: very fast simulated annealing (VFSA). This approach provides high-resolution inverse modeling results--particularly useful for reservoir characterization.

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Details

  • ISBN-13: 9780080451589
  • ISBN-10: 0080451586
  • Publisher: Elsevier Science
  • Publish Date: July 2012
  • Dimensions: 9.1 x 6 x 0.5 inches
  • Shipping Weight: 0.92 pounds
  • Page Count: 184

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