New Multi-Client PVT

Field-wide EOS models.
Built together.
Collaborative, multi-operator studies delivering robust EOS models for entire basins โ€” built from 100s of lab-quality PVT samples and validated across black oils, condensates, and gas systems. Choose your basin, join the consortium, and save thousands of dollars with a ready-to-use EOS model you can trust.
Field-wide EOS models.
Built together.
Collaborative, multi-operator studies delivering robust EOS models for entire basins โ€” built from 100s of lab-quality PVT samples and validated across black oils, condensates, and gas systems. Choose your basin, join the consortium, and save thousands of dollars with a ready-to-use EOS model you can trust.
Why Field-Wide EOS Models?
A field-wide EOS model acts like a field-wide "PVT correlation" applicable for all fluids in a given basin (black oils | volatile oils | near-critical fluids | gas condensates | wet gases | dry gases). By pooling PVT samples and funding across operators, we build a model calibrated and tuned to the unique thermodynamics of each basin. The result? A consistent, ready-to-use fluid model that saves time, reduces uncertainty, and eliminates the need for costly lab work on your wells.

๐Ÿ”ฌ Data-Driven: 100+ PVT samples incorporated across studies
๐Ÿค Collaborative: Built in partnership with leading operators
๐Ÿงช Validated: Tuned to lab data (CCE, CVD, DLE, separator tests)
๐Ÿ’ธ Cost-Efficient: Robust EOS for a fraction of the cost
๐ŸŒ Field-Wide Utility: One model for many formations and well types
๐Ÿ”„ Consistently predict PVT data: Saturation pressures, formation volume factors (FVF), solution GORs/CGRs, densities, compressibilities and viscosities across a field
UNCONVENTIONAL FLUID SYSTEMS
Unconventional fluid systems demonstrate strong field-wide PVT consistency although the reservoir fluid (i.e. composition) varies significantly. Reservoir fluid differences are dominantly determined by thermal maturity, which is the main reason behind the consistent fluid characteristics over large areas. What this means in practice, is that we can use one fluid model (i.e. EOS model) for the entire field, but what changes from area-to-area/well-to-well is the GOR (i.e. composition). This has been one of the key findings in all our studies.
Anadarko Basin
The SCOOP/STACK/Merge multi-client project was first initiated in February 2019, and has continued to grow as more data has been incorporated โ€” resulting in a progressively more robust thermodynamic description.

Number of PVT Samples
In this study, 52 PVT samples from 43 different well locations were included in the EOS model development work. Of the 52 samples, 26 are bubble point samples and the other 26 samples are dew point. There is no dry gas sample in this study. The minimum C7+ component is 1.5 mol% and the maximum is 37.6 mol%. The production comes from Woodford, Springer, Meramec, Osage and Cunningham formation, with recombined GOR ranging from 700 to 54,000 scf/STB and API ranging from 38 to 61.

Participating Companies
New companies are joining the study every single year.
  • 89 Energy (Casillas Petroleum)
  • Camino Natural Resources
  • Coterra Energy (Cimarex Energy)
  • Continental Resources
  • Devon Energy
  • Marathon Oil
  • Roan Resources

Experimental Overview
Table below summarizes PVT experiments performed on all samples.

Experiments

#

CCE

52

CVD

23

DLE

16

Separator test

7

Oil viscosity

14

Single stage flash of Separator Oil

30

Recombination with multiple GORs

4

Contact Us
Want to know more? Send an e-mail to sales@whitson.com and we'll be happy to talk you through our multi-client EOS studies or work with you on a single client solutions
Seamless EOS integration into whitson+
All multi-client EOS models can be directly imported into whitson+ โ€” allowing your team to apply field-wide fluid models instantly across workflows, from forecasting to simulation.
  • Web-based software
    No IT involvement required, instantly access when needed
  • One-click import
    Full compatibility with forecasting, RTA, and fluid diagnostics workflows in whitson+
  • Version control of models
    Track changes and updates
  • Share, collaborate, or discuss
    Get everyone on the same page
  • Matt Padgham
    Reservoir Engineering Advisor, Ascent Resources
    A reservoir simulation study or sensitivity that took hours or days historically can now be completed with confidence in the matter of minutes.
  • Saul Rivera Barraza
    Reservoir Engineer, Murphy Oil
    The whitson+ team and software have made a significant impact at Murphy, demonstrated by the ability to model over 1,000 South Texas wells, some with a vintage dating back to 2010.
  • Brian Collins
    Staff Engineer, Continental Resources
    Combining solid PVT with both numerical RTA and multiphase FMB gives a lot of freedom to investigate well performance and find โ€œconsensus.โ€