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Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction

By: (Author) Juliana Y. Leung , (Author) Sanjay Srinivasan

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Ksh 17,800.00

Format: Hardback or Cased Book

ISBN-10: 1259834298

ISBN-13: 9781259834295

Publisher: McGraw-Hill Education

Imprint: McGraw-Hill Education

Country of Manufacture: US

Country of Publication: GB

Publication Date: Mar 7th, 2022

Print length: 464 Pages

Weight: 770 grams

Dimensions (height x width x thickness): 16.20 x 23.70 x 3.30 cms

Product Classification: Mechanical engineering & materials

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Reservoir engineering fundamentals and applications along with well testing proceduresThis practical resource lays out the tools and techniques necessary to successfully construct petroleum reservoir models of all types and sizes. You will learn how to improve reserve estimations and make development decisions that will optimize well performance. Written by a pair of experts, Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction offers comprehensive coverage of quantitative modeling, geostatistics, well testing principles, upscaled models, and history matching. Throughout, special attention is paid to shale, carbonate, and subsea formations. Coverage includes:An overview of reservoir engineeringSpatial correlationSpatial estimationSpatial simulationGeostatistical simulation constrained to higher-order statisticsNumerical schemes for flow simulationGridding schemes for flow simulationUpscaling of reservoir modelsHistory matchingDynamic data integration

Reservoir engineering fundamentals and applications along with well testing procedures

This practical resource lays out the tools and techniques necessary to successfully construct petroleum reservoir models of all types and sizes. You will learn how to improve reserve estimations and make development decisions that will optimize well performance. Written by a pair of experts, Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction offers comprehensive coverage of quantitative modeling, geostatistics, well testing principles, upscaled models, and history matching. Throughout, special attention is paid to shale, carbonate, and subsea formations.

Coverage includes:

  • An overview of reservoir engineering
  • Spatial correlation
  • Spatial estimation
  • Spatial simulation
  • Geostatistical simulation constrained to higher-order statistics
  • Numerical schemes for flow simulation
  • Gridding schemes for flow simulation
  • Upscaling of reservoir models
  • History matching
  • Dynamic data integration


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