ResX

ResX allows asset teams to embrace uncertainties in the reservoir modelling and history matching process, and this is key to making improved reservoir management decisions.

ResX is the industry’s first commercially available software grounded in ensemble based methods, where the full range of geologically consistent reservoir models are history matched and used as basis for production forecasts.

By continuous data conditioning between static and dynamic data, ResX dramatically increases the team’s efficiency.

ResX provides reliable reservoir models, in time for your reservoir management decisions.

An automated workflow, using ResX, makes the reservoir modelling and history matching process repeatable and greatly simplifies the process of updating models as new data arrives.

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Features

  • Carries the full-range of geological realizations throughout the history matching process
  • Quantifies uncertainty in predictions based on full range of matched models
  • Low computational cost for large and complex models (# simulation runs)
  • Full scaling to geomodel resolution
  • Honors the geological concepts and prior interpretation
  • Provides an excellent quality of history match resulting in more accurate forecast
  • Integrates with Petrel*, ECLIPSE* and INTERSECT*
*Mark of Schlumberger

ResX - Papers and Case Studies

Improved History Matching and Uncertainty Quantification for Gas Condensate Fields Using an Ensemble Based Approach
(A. Barliansyah, Bayerngas Norge, T. Skåre, Bayerngas Norge, T.F. Munck, Resoptima and J. Sætrom, Resoptima)

SPE 181352
Consistent Integration of Drill-Stem Test Data into Reservoir Models on a Giant Field Offshore Norway
(J. Sætrom, Resoptima, H. Selseng, A. MacDonald, T. Kjølseth, O. Kolbjørnsen, Lundin Norway)

SPE 175668
Improved Reservoir Management Decisions Using Ensemble Based Methods
(J. Sætrom, K. Klemens, T. F. Munck, Resoptima)

IPTC-18868-MS
Consistently Integrating Static and Dynamic Data in the Facies Model Description Using an Ensemble Based Approach
(J. Sætrom, A. Phade, M. L. Vinther, T. F. Munck, Resoptima)

Selection of papers on the ensemble methodology:

SPE 164902
History Matching Of The Norne Full Field Model Using An Iterative Ensemble Smoother
(Yan Chen, SPE, IRIS, and Dean S. Oliver, SPE, Uni CIPR)

SPE 141929
An Ensemble Smoother for Assisted History Matching 
(J.-A. Skjervheim and G. Evensen, Statoil Research Centre, Bergen, Norway, Mohn Sverdrup Center at Nansen Environmental and Remote Sensing Center, Bergen, Norway)

SPE 107161
History Matching and Production Forecast Uncertainty by Means of the Ensemble Kalman Filter
(A. Bianco, A. Cominelli, L. Dovera, Eni E&P Division, G. Naevdal and B. Valles, Iris)

Incorporation of geological uncertainty:
Full range of realizations is
included in the history match,
capturing the geological
uncertainty.
Incorporation of geological uncertainty: Full range of realizations is included in the history match, capturing the geological uncertainty.
Robust quantification of uncertainty in predictions: All models are conditioned to the observed data and used to generate predictions. Uncertainty in the predictions are quantified and P10, P50 and P90 estimates are easy to extract directly from ResX.
Robust quantification of uncertainty in predictions: All models are conditioned to the observed data and used to generate predictions. Uncertainty in the predictions are quantified and P10, P50 and P90 estimates are easy to extract directly from ResX.
Achieve a set of reliable and high quality history matched models:
The full set of geological
realizations are history matched
by making minor adjustments, making sure to preserve the prior geological interpretations.
Achieve a set of reliable and high quality history matched models: The full set of geological realizations are history matched by making minor adjustments, making sure to preserve the prior geological interpretations.
Avoid anchoring to a single base case: The full range of models with different static and dynamic characteristics, covering the full range of uncertainty, are prepared for history matching.
Avoid anchoring to a single base case: The full range of models with different static and dynamic characteristics, covering the full range of uncertainty, are prepared for history matching.