441,53 €
490,59 €
-10% with code: EXTRA
Sustainable Geoscience for Natural Gas Subsurface Systems
Sustainable Geoscience for Natural Gas Subsurface Systems
441,53
490,59 €
  • We will send in 10–14 business days.
Sustainable Geoscience for Natural Gas SubSurface Systems delivers many of the scientific fundamentals needed in the natural gas industry, including coal-seam gas reservoir characterization and fracture analysis modeling for shale and tight gas reservoirs. Advanced research includes machine learning applications for well log and facies analysis, 3D gas property geological modeling, and X-ray CT scanning to reduce environmental hazards. Supported by corporate and academic contributors, along wit…
490.59
  • Publisher:
  • ISBN-10: 0323854656
  • ISBN-13: 9780323854658
  • Format: 19.1 x 23.5 x 2.2 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Sustainable Geoscience for Natural Gas Subsurface Systems (e-book) (used book) | bookbook.eu

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Sustainable Geoscience for Natural Gas SubSurface Systems delivers many of the scientific fundamentals needed in the natural gas industry, including coal-seam gas reservoir characterization and fracture analysis modeling for shale and tight gas reservoirs. Advanced research includes machine learning applications for well log and facies analysis, 3D gas property geological modeling, and X-ray CT scanning to reduce environmental hazards. Supported by corporate and academic contributors, along with two well-distinguished editors, the book gives today's natural gas engineers both fundamentals and advances in a convenient resource, with a zero-carbon future in mind.

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  • Publisher:
  • ISBN-10: 0323854656
  • ISBN-13: 9780323854658
  • Format: 19.1 x 23.5 x 2.2 cm, minkšti viršeliai
  • Language: English English

Sustainable Geoscience for Natural Gas SubSurface Systems delivers many of the scientific fundamentals needed in the natural gas industry, including coal-seam gas reservoir characterization and fracture analysis modeling for shale and tight gas reservoirs. Advanced research includes machine learning applications for well log and facies analysis, 3D gas property geological modeling, and X-ray CT scanning to reduce environmental hazards. Supported by corporate and academic contributors, along with two well-distinguished editors, the book gives today's natural gas engineers both fundamentals and advances in a convenient resource, with a zero-carbon future in mind.

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