Petrophysical Services

FRACMOD’s suite of integrated services includes Petrophysical analysis. As an integral part of the input into reservoir simulation models, petrophysical analysis experts in house provide the full suite of petrophysical services.

Petrophysical Services

  • Integration of open-hole logging data with conventional (CCA) and providing special core analysis (SCAL)
  • Deterministic and probabilistic petrophysical approaches
  • Common, dominant reservoir models include mineral modeling, porosity modeling, water saturation modeling, TOC modeling, permeability modeling and rock type modeling
  • Identification of flow units and flow barriers / baffles, characterize petrophysical properties of each flow unit, fluid saturation height / fluid contacts and flow unit versus facies relationships.

Mappable Petrophysical Results

  • Thickness (gross, reservoir, pay)
  • Porosity (total, effective)
  • Porosity Thickness
  • Permeability (absolute)
  • Permeability Thickness
  • Water Saturation (total, effective)
  • Hydrocarbon Pore Volume (HCPV)
  • Fluid Interface Contact Depths
  • Mineralogy

Conventional & Special Core Data

  • X-Ray Diffraction (XRD) – mineralogy and volume percentages
  • Scanning Electron Microscope (SEM) – pore size, clay/mineral distribution, elemental analysis
  • Mercury Injection Capillary Pressure (MICP) – pore throat size distribution / classification
  • Petrography – mineralogy, diagenetic sequence / texture Tight Rock Analysis (TRA)
  • QEMSCAN – mineralogy
  • Pyrolysis – TOC, S1, S2, S3, HI, OI, PI, vitrinite reflectance

Multi-Well Study Execution

  • Porosity Modeling
  • Water Saturation Modeling
  • TOC Modeling
  • Permeability Modeling
  • Rock Type Modeling

What is Petrophysics?

Petrophysics is the study of the physical and chemical properties of rocks and their contained fluids. Petrophysical analysis emphasizes the calculation of reservoir storage and deliverability based on lithology, porosity, thickness, fluid saturation, and permeability.

Petrophysics requires integration of log data with rock data generally in the form of core measurements that can be either routine measurements or special core measurements. The purpose of this association is to calibrate the log derived reservoir parameters to those same parameters measured in the laboratory. When agreement on these parameters is achieved, predictive log based models can be established. These models can then be applied at well locations where cores are not available.