Carbonates

Unleashing Potential in Carbonate Reservoirs

Characterizing Carbonate Reservoirs

Carbonate rocks (i.e. limestone, dolomite) are deposited and formed in subaqueous environments through various chemical and biological processes. As a result, they exhibit a wide array of different structures and textures that give rise to highly heterogeneous deposits. Due to their highly chemically reactive composition, carbonate rocks undergo extensive chemical, physical, and textural changes during burial and diagenesis. For this reason, carbonates are amongst some of the most challenging rocks to characterize in the subsurface.

Carbonate rocks are a vitally important component of today’s energy sector, with approximately 60% of the world’s oil and 40% of the world’s gas reserves held in such reservoir types. In many cases, these reservoirs exhibit marked vertical and lateral heterogeneity caused by permeability barriers, natural fractures, and complex mineralogical and porosity distributions. These variations can be particularly challenging to geoscientists and engineers responsible for performing detailed and effective exploration, appraisal, field development, and production programs and strategies.

Improving models to predict performance in heterogeneous carbonate reservoirs

Well and Seismic Interpretation
Identify and characterize distinct rock formations to reconstruct the subsurface history and identify potential reservoirs and formations of interest.
Rapidly evaluate carbonate sequences
  • Execute probabilistic workflows that quantify carbonate rock mineralogical and textural variations and uncertainties
  • Determine fracture characteristics and relation to carbonate facies using image logs
  • Identify and classify productive facies through comprehensive poro-perm analysis
Interpret carbonates with confidence
  • Predict seismic amplitude behaviors and rock properties using sophisticated petrophysical and carbonate rock physics models
  • Calibrate well and seismic data using advanced methods for conventional and broadband seismic datasets
  • Improve geological understanding by modeling the impact of carbonate facies and fractures on the seismic response
  • Incorporate core analysis into the petrophysical workflow for accurate prediction of permeability and its relationship with porosity
Deliver greater value from legacy and modern seismic and reveal geology
  • Enhance amplitude fidelity and thin layer detection through comprehensive seismic data conditioning workflows
  • Minimize acquisition and processing artifacts to reveal internal carbonate architectures
  • Leverage azimuthal and multi-component data to identify areas and zones of potential fracturing and associated permeability
Build the geological framework and gain subsurface insights
  • Reduce time spent on manual structural interpretation using automated fault extraction workflows to rapidly identify structural framework
  • Confidently extract subtle carbonate features and internal variability by removing the structure and revealing the chronostratigraphic history of the carbonate bodies
  • Identify and extract fracture planes and correlate to well based fracture interpretations
Estimate in place rock and net pore volumes
  • Execute volumetric calculations on identified structures
  • Rank features according to gross rock volume

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