Services-Upstream Petroleum-Petrophysics

APG’s workflow for multi-physics, multi-frequency, and multi-scale modeling and inversion

Our experts bring the following technologies to the table and help clients to fully characterize their resource plays:

  • Data review and quality control – Log normalization, depth shifting, and project setup – Well log interpretation and well summary calculations

  • Rock typing and permeability calculations – Borehole image log interpretations – Resistivity modeling and geosteering post processing

  • Production log analysis – Deterministic and probabilistic (Neural Network) methods to predict pseudo logs

  • Log-derived geomechanical properties – Rock properties data from well logs

  • Diagnosis and modeling of Formation tester measurement and fluid sampling – Pore pressure and fracture gradient analysis

  • Python programming and workflow development

  • Advanced carbonate formation evaluation using multi-physics modeling and stochastic inversion

  • Global optimization to estimate petrophysical properties of shaly sandstones

  • Low resistivity pay (LRP) zone detection using model-based and data-driven algorithms

  • Detecting and quantifying fractured carbonates using conventional logs (Without core, FMI, UBI)

  • Retrieving petrophysical properties (TOC, frackability, etc.) of unconventional resource plays

  • Pore pressure and fracture gradient (PPFG) prediction using conventional well logs

  • Applications of machine learning techniques in well log processing and interpretation

  • Bayesian rock typing using well logs calibrated with core data

  • Joint inversion of NMR and other well logs to simultaneously estimate petrophysical properties


The philosophy behind APG’s stochastic multi-physics inversion


Rock typing

Dual porosity carbonate: stochastic well log inversion

Dual porosity carbonate: micro-porosity and vugs clearly seen in micro-CT and NMR