We incorporated all available data (surface and subsurface) to construct a true static model which benefits our Client.
Characterization and modeling of a subsurface reservoir is typically carried out using sparse data-sets:
Sources of Data for Modeling:
- Standard sources of data used in modeling are from wells and, ideally, seismic,
- Wire-line logs,
- Production data,
Modeling frame work
A structural framework forms the main background to the model. Best accuracy comes from structural interpretation of 3-D seismic data which were adjusted by well data. Wire-line log picks integrated with production data can be used to build a less-robust model. Structure model is included Contour top surface and structural attributes are run on this, e.g. structural dip.
Ideally nothing can substitute the real core samples, especially when these incorporated with wire-line logs and seismic data but if no core is available, facies/depositional environments can be detect from wire-line logs and seismic data.
In petrophysical model, Best case workflow is to integrate core with log data. (Need an accurate core-to-log shift). It is important to choose correct parameters to be used in any calculation. In addition, Seismic inversion integrates wire-line log data with seismic volume to extract petrophysical properties from the volume.
After assembling and integrating data, and making the subsurface interpretation, several decisions need to be made prior to modeling:
- Model scaling–grid size in x, y, z to capture the relevant stratigraphic and elemental heterogeneity.
- Modeling variograms and algorithms – choice of simple kriging, stochastic modeling, and object based modeling.
Modeling for Faults and Fractures
Fault and fracture modeling are very important especially in carbonate reservoirs. These models could improve the dynamic modeling in case of dual pro/perm reservoirs.