Reservoir parameter estimation based on model-constrained inverse modeling

Qian Liu, Ning Dong, Yuxin Ji, Tiansheng Chen

Research output: Contribution to journalArticlepeer-review

Abstract

Reservoir parameter estimation is indispensable in reservoir characterizations. Accurate estimation of reservoir parameter from elastic parameters is helpful for evaluation of reservoir quality. In the framework of rock physics theories, a model-constrained inverse modeling method based on seismic rock physics modeling theory has been proposed in this paper. According to the rock physical characteristics of target reservoir, the relationship between elastic parameters and reservoir parameters can be built with rock physics models. Isosurfaces of input elastic parameters can be calculated in 3D reservoir parameter domain according to the relationship. Estimation of reservoir parameters is implemented by combining spatial intersections of isosurfaces. There are usually some errors or uncertainties in the elastic parameters. Constraints are added to enhance stability and reduce the errors brought by the input elastic parameters. Model tests have shown that the accuracy and stability. A real data test has proved the rationality and applicability.

Original languageEnglish
Pages (from-to)539-546
Number of pages8
JournalWutan Huatan Jisuan Jishu
Volume40
Issue number4
DOIs
Publication statusPublished - Jul 2018
Externally publishedYes

Keywords

  • Elastic parameter
  • Reservoir parameter domain
  • Reservoir parameters
  • Rock physics

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