Simulation of permeability field conditioned to well test data

Sanjay Srinivasan, Andre G. Journel

Research output: Contribution to conferencePaperpeer-review

Abstract

Well testing provides critical information about the effective permeability value around the well being tested. That information must be integrated with higher resolution, smaller scale, well log data. The difference of scale is handled by kriging with `block' averages, while the non-linear averaging of permeability values is addressed by working on specific non-linear power transform of the original permeability data. A case study shows the simulated permeability fields to honor, in expected value, the well test-derived effective permeability values in addition to honoring the smaller scale well log data and statistics. Ignoring the well test information would result in permeability fields that are imprecise around the well being tested and which display too large uncertainty. The necessity of data integration, even when data are of widely different scales, is demonstrated. The paper also discusses cases when the well test-derived effective permeability appears inconsistent with the well-log derived Smaller scale permeability data. The paper points out the limitation of the linear power-averaging formulation for capturing the dynamics of fluid flow.

Original languageEnglish (US)
Pages63-77
Number of pages15
StatePublished - Jan 1 1999
EventProceedings of the 1999 Exploration and Production Environmental Conference, SPE/EPA - Austin, TX, USA
Duration: Mar 1 1999Mar 3 1999

Other

OtherProceedings of the 1999 Exploration and Production Environmental Conference, SPE/EPA
CityAustin, TX, USA
Period3/1/993/3/99

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Geotechnical Engineering and Engineering Geology

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