3D Anatoli P-Wave Simultaneous Inversion
for Wattenberg Facies Modeling
Objectives
Seismic Inversion
Petrophysical Model
Sheila Harryandi
3D Facies Model
Conclusions
-
Use the information from the wells to model the
heterogeneous litho-facies within Wattenberg
reservoir interval
-
Upscale the Rock Quality Index (RQI) information
and heterogeneity from the wells to seismic scale to
distribute the heterogeneity in the inter-well space
Low Frequency Model
- 4 horizons
- 4 input wells
- Global kriging
- Conformable stratigraphy
1 0 Zp Zp Zp- Petrophysical model shows good correlation between
Rock Quality Index (RQI), facies clusters and impedances. The most optimum location for hydraulic fracturing target (chalk) can be modeled from seismic inversion
- Cross-plot of Zp and Zs from wells inside seismic survey shows relatively linear relationship, which makes Zs less significant. However, inversion result shows more
scattered distribution which could be useful as additional constraint for facies distribution
- Seismic inversion provides a good estimation of geologic properties that will be an essential input for future facies model with more complexity (incorporates structural
framework and geostatistical approach to achieve higher resolution)
*) Constrain the chalk distribution to the
higher Zs values
Zp Facies
Pure Chalk with high Vp, Vs, Resistivity
low GR, Density, Neutron Porosity
Pure Marl with the lowest Vp, Vs
the highest GR
Mixed marl-chalk with low Vp, Vs, Resistivity
high GR, Density, Neutron Porosity
RQI = Rock Composition + Rock Fabric – Stress State
A tool to assess the optimal locations for drilling and hydraulic fracturing (Davey, 2012; Mabrey, 2016)
