A Geostatistical Approach to Integrating Data from Multiple and Diverse Sources: an Application to the Integration of Well Data, Geological Information, 3D/4D Geophysical and Reservoir-Dynamics Data in a North-Sea Reservoir

  1. David W. Hyndman,
  2. Frederick D. Day-Lewis and
  3. Kamini Singha
  1. Jef Caers and
  2. Scarlet Castro

Published Online: 18 MAR 2013

DOI: 10.1029/171GM07

Subsurface Hydrology: Data Integration for Properties and Processes

Subsurface Hydrology: Data Integration for Properties and Processes

How to Cite

Caers, J. and Castro, S. (2007) A Geostatistical Approach to Integrating Data from Multiple and Diverse Sources: an Application to the Integration of Well Data, Geological Information, 3D/4D Geophysical and Reservoir-Dynamics Data in a North-Sea Reservoir, in Subsurface Hydrology: Data Integration for Properties and Processes (eds D. W. Hyndman, F. D. Day-Lewis and K. Singha), American Geophysical Union, Washington, D. C.. doi: 10.1029/171GM07

Author Information

  1. Stanford University, Department of Energy Resources Engineering Stanford, California, USA

Publication History

  1. Published Online: 18 MAR 2013
  2. Published Print: 1 JAN 2007

ISBN Information

Print ISBN: 9780875904375

Online ISBN: 9781118666463

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Keywords:

  • Groundwater flow—Mathematical models

Summary

This chapter contains sections titled:

  • Introduction

  • Subsurface Data and Spatial Modeling

  • Integration of Static and Dynamic Data

  • Conclusions