Title
Characterization of Fluvial Reservoir Analogs: Modeling and Inversion of Petrophysical and Electrical Properties,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 3–5 business days
- Estimated Delivery: 6–10 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
3D GPR data tested stratigraphic and structural imaging of the nearsurface. These data were integrated with geologic data to characterize a reservoir analog. GPR reflection times and amplitude distributions were used to generate a geostatistical model of sedimentary structures. Fluid permeabilities were assigned to sedimentary structures and were constrained by borehole and outcrop data. Reservoir properties were analyzed and petrographic analysis produced data on porosity, lithology, and cementation. Clay fraction, permeability, porosity, and water content were predicted from electrical properties. Permittivities were predicted by effective medium models. Dissociated phase models and coated grain models inverted for water saturation and water permittivity. Effective permittivities are lithology dependent and porosity influences permittivity sensitivity. Permittivity from the Maxwell_Garnett (MG) theory and the differential effective medium (DEM) theory were compared with a finiteelement (FE) implementation of multipole theory. MG model predictions in a porous medium are inadequate for multipole polarization. Permittivity predictions for DEM and FE models are very similar.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.