Through ensemble-based methods, we employ insights from a diverse set of geologically consistent reservoir models. These models are history-matched and serve as the foundation for production forecasts.
ResX software allows subsurface teams to embrace uncertainties in the reservoir modeling and history-matching process. This can help increase team efficiency and provide more time to perform a deeper reservoir analysis.
Webinar
In this webinar, we will demonstrate how our innovative approach uses both static and dynamic data concurrently. This allows you to explore and visualize the subsurface across various scales and resolutions while consistently accounting for geological uncertainties at every stage.
Watch nowAutomated and updatable reservoir modeling workflows can reduce turnaround time. Users can use a dedicated simulation manager to submit and monitor simulations and pause and resume simulations easily. The solution also enables the quick creation of new studies from previous iterations.
Through uncertainty-centric workflows that consider both static and dynamic data, we can significantly reduce user bias and enhance confidence in the results. Users can utilize adaptive pluri-Gaussian facies modeling capability with ResX software to consistently incorporate new data. The software can also condition facies realizations to dynamic data by updating the inputs to the facies modeling algorithm. This can help ensure consistent and geologically reasonable history-matched modes.
Capture, quantify, and retain uncertainties throughout the interpretation and modeling process. ResX software can help evaluate statistical attributes of model properties and scalers and compare statistics between the initial and conditioned ensembles. Users can also automate data ingestion into an IRMA analytics solution to generate aggregated ensemble statistics and provide specific ensemble-oriented analytics.
