Scenario Testing in 3D Geomodel Grid

Thin inter-bedded reservoirs are widely available in the North Sea and the world resulting from the depositional activity of fluvial and turbidite system. These reservoirs contain complex geo-bodies with varied thickness and internal structure above and below the seismic resolution. Forward modelling of seismic data of geological interpretation is an important tool to aid in the stratigraphic interpretation of an alternating sand and shale reservoir. Scenario testing is useful to infer layer thickness and stacking pattern of channel elements, with a systematic change in amplitude and wave shape correlating directly with sand thickness. 

Challenges

Often, the largest limiting factor on the accuracy of a forward model is not the method chosen to solve the problem, but rather the inappropriate use of one- or two-dimensional models of the geology when two- or three-dimensional models are necessary. The controlling factor for the model dimension is not the dimension of the data but rather the complexity of the geology. The presence of these complexities requires the use of two- or three-dimensional models. Failure to use models of the correct dimension can give rise to appreciable travel time and amplitude error, as well as misinterpretation. While the standard industry tools provide good one- and two-dimensional modelling functionalities, efficient tools allowing for three-dimensional scenario testings of interpretation are still not widely available. 

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Interactive scenario testing of stacking pattern of channelized sand and real-time seismic validation. 

Thin inter-bedded reservoirs are widely available in the North Sea and the world resulting from the depositional activity of fluvial and turbidite system. These reservoirs contain complex geo-bodies with varied thickness and internal structure above and below the seismic resolution. Forward modelling of seismic data of geological interpretation is an important tool to aid in the stratigraphic interpretation of an alternating sand and shale reservoir. Scenario testing is useful to infer layer thickness and stacking pattern of channel elements, with a systematic change in amplitude and wave shape correlating directly with sand thickness. 

Challenges

Often, the largest limiting factor on the accuracy of a forward model is not the method chosen to solve the problem, but rather the inappropriate use of one- or two-dimensional models of the geology when two- or three-dimensional models are necessary. The controlling factor for the model dimension is not the dimension of the data but rather the complexity of the geology. The presence of these complexities requires the use of two- or three-dimensional models. Failure to use models of the correct dimension can give rise to appreciable travel time and amplitude error, as well as misinterpretation. While the standard industry tools provide good one- and two-dimensional modelling functionalities, efficient tools allowing for three-dimensional scenario testings of interpretation are still not widely available. 

ezgif-5-a231cd7fff5f

Interactive scenario testing of stacking pattern of channelized sand and real-time seismic validation. 

Example-sequential-Gaussian-realization-obtained-based-on-simple-collocated-cokriging.lnk

Benefits

  • Fast & Efficient – building a new three-dimensional scenario within minutes, refine it within in seconds
  • Interactive – quickly testing of different stacking patterns of channels
  • Advanced seismic attribute analysis functionalities
  • Testing performed directly in fine-scale earth model grid enabling the verified results directly used for geomodelling

Benefits

  • Fast & Efficient – building a new three-dimensional scenario within minutes, refine it within in seconds
  • Interactive – quickly testing of different stacking patterns of channels
  • Advanced seismic attribute analysis functionalities
  • Testing performed directly in fine-scale earth model grid enabling the verified results directly used for geomodelling
Example-sequential-Gaussian-realization-obtained-based-on-simple-collocated-cokriging.lnk