Geostatistical quantification of geological information for a fluvial-type North Sea reservoir

Jef K. Caers, S. Srinivasan, Andre G. Journel

Research output: Contribution to conferencePaperpeer-review

8 Scopus citations

Abstract

Accurate prediction of petroleum reservoir performance requires reliable models of the often complex reservoir heterogeneity. Geostatistical simulation techniques generate multiple realizations of the reservoir model, all equally likely to be drawn. Traditional to geostatistics, geological continuity is represented through the variogram. The variogram is limited in describing complex geological structures as it measures correlation between rock properties at two locations only: it is a two-point statistic. Reservoir analogs such as outcrops can serve as training images depicting the interpreted geological structure. Due to scarcity of well data, the variogram models are often borrowed from such training sets. However, the same training images could be utilized to extract more complex information in the form of multiple point statistics measuring the joint dependency between multiple locations. This paper compares a traditional variogram-based geostatistical model versus a novel geostatistical method utilizing multiple point statistics borrowed from training images. The comparison is made on the basis of flow performance for a typical North Sea reservoir. To obtain such comparison a `true' reference reservoir is generated using object-based simulation that depicts the complex intertwining of fluvial channels. Next, a different but similar reservoir is generated, termed the `training reservoir'. The latter is used to extract the necessary structural information, be it variograms or multiple-point statistics, to build multiple geostatistical models of the `true' reservoir conditioned to sparse well data. A water flood flow scenario with inverted 5-spot pattern is simulated using ECLIPSE on the true reference and the various geostatistical models. Water breakthrough characteristics and water saturation distributions are used for comparison.

Original languageEnglish (US)
Pages369-384
Number of pages16
StatePublished - Dec 1 1999
Event1999 SPE Annual Technical Conference and Exhibition: 'Formation Evaluation and Reservoir Geology' - Houston, TX, USA
Duration: Oct 3 1999Oct 6 1999

Other

Other1999 SPE Annual Technical Conference and Exhibition: 'Formation Evaluation and Reservoir Geology'
CityHouston, TX, USA
Period10/3/9910/6/99

All Science Journal Classification (ASJC) codes

  • Fuel Technology
  • Energy Engineering and Power Technology

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