Integrated Reservoir Understanding — From Core to Model
Transform core, log, petrographic, HPMI/MICP and reservoir data into a clear, defensible reservoir framework for static modelling, petrophysics and simulation-ready decisions.
We combine reservoir geoscience, core description, rock typing, pore-system analysis and model calibration to help operators understand reservoir architecture, quality, connectivity, saturation and flow behaviour.
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Reservoir models are only as reliable as the evidence behind them.
Reservoir teams often work with strong datasets but disconnected interpretations. Core descriptions, petrography, logs, BHI, CT scans, RCA, SCAL and HPMI/MICP data may each answer part of the problem, but the value comes when they are integrated into one reservoir understanding.
Uncertain architecture
Facies, stratigraphy and connectivity are not always captured clearly in the static model.
Weak property prediction
Porosity, permeability and saturation may rely on generic transforms rather than reservoir-specific calibration.
Limited simulation confidence
Pc, Kr and saturation assumptions may not fully reflect the measured pore-system behaviour.
Two specialist service streams. One integrated reservoir framework.
From evidence to model-ready decisions
Step 1 — Data review & project framing
Review available core, RCA, SCAL, HPMI/MICP, petrography, logs, BHI, CT, pressure data and existing models
Step 2 — Geological and pore-system interpretation
Define facies, depositional elements, rock types, pore systems, fractures, cements, clay content and reservoir quality controls.
Step 3 — Core-log and property calibration
Connect measured core and pore-system data to logs, permeability transforms, hydraulic rock types and saturation-height behaviour.
Step 4 — Reservoir architecture and model rules
Translate interpretation into static model rules, facies distributions, property trends, connectivity concepts and uncertainty cases.
Step 5 — Dynamic and simulation-facing outputs
Where data support it, generate saturation functions, Pc tables, Kr screening, SCAL QC and simulation-ready inputs.
Our Services
Practical outputs for subsurface, petrophysics and modelling team
Integrated reservoir architecture framework
ConFacies, stratigraphy, connectivity and heterogeneity model.
Core-log calibration
Reservoir interpretation tied to logs and uncored intervals.
Rock type and hydraulic rock type definitions
Geological and pore-system classes that support prediction.
Permeability model inputs
Reservoir-specific permeability transforms and QC plots
Saturation-height inputs
Capillary pressure and saturation-height functions by rock type or property class.
PHIE and clay-bound water calibration
Especially useful for clastic and clay-bearing reservoirs
3D model implementation rules
Property population guidance, uncertainty cases and grid-versus-well QC.
Simulation-facing options
SCAL review, Pc/Kr functions, saturation endpoints and simulator-ready tables where justified.
Designed for complex reservoir decisions
Practical outputs for subsurface, petrophysics and modelling team
New field appraisal
Build the first reservoir framework from core, logs, petrography and pore-system data.
Mature field redevelopment
Revisit architecture, permeability, saturation and unswept volume risk.
Static model refresh
Improve facies, rock type, property and saturation inputs before model update
Petrophysical recalibration
Improve permeability, PHIE, net pay and saturation assumptions.
SCAL and simulation screening
Use HPMI/MICP and rock typing to guide Pc/Kr assumptions and additional SCAL planning.
Carbonate, clastic and mixed reservoirs
Carbonate, clastic and clay-bearing reservoirs may need different levels of calibration and PHIE/CEC treatment
Detailed core description and core-log calibration can define depositional elements, key stratigraphic surfaces and reservoir architecture.
Petrography, core data and logs can be used together to predict permeability and reservoir quality in uncored intervals.
Borehole image and CT data can improve understanding of internal heterogeneity, fracture systems, directional trends and permeability anisotropy.
Build a clearer line of sight from core data to reservoir decisions
Whether you need a targeted review or a full integrated core-to-model workflow, we can help turn reservoir evidence into practical inputs for petrophysics, static modelling and simulation.
👉 Let's discuss your project