White Paper

Near-Field Exploration and Development: A Holistic Look at Leveraging Digital Technologies to Increase Productivity and Profitability

Upstream companies today must achieve operational excellence by reducing emissions and utility demands, improving production at existing assets and replacing and expanding reserves while exhibiting capital discipline.

Technical Paper

Successful Reconstruction of the Fluvial Conceptual Model on Gullfaks Sør with Object Modelling M.L.

To make better reservoir management decisions, workflows covering the entire geosciences and reservoir engineering domains are customarily used. Facies modeling is an important part of these workflows, as it defines the main flow pattern in the reservoir and represents a geological understanding of the depositional environment.

User Conference

OPTIMIZE™ | 24

We are excited to announce OPTIMIZE 24, our worldwide user conference, taking place April 29–May 3 in Houston, Texas.

Case Study

AspenTech® Modeling Technology Reduces Risk and Cost in Industrial Reclamation Project

To turn a waste oil handling site into a seaside residential and commercial gem, it was necessary to assess the near surface. This case study explains how Aspen RMS™ geologic modeling software was used to conduct a geological analysis of the area through an integrated geological modeling process.

Case Study

AspenTech® Reservoir Modeling Capabilities Used to Achieve Accurate Results with Less Effort

Aspen RMS™ reservoir modeling software was used to improve a model of the Heidrun field in the Norwegian North Sea, to help create a reservoir management strategy and increase production. A precise and watertight model accommodated all available data and geological complexities.

Improve Production Performance for Upstream

Optimize production from upstream assets from the reservoir to separation and processing plants to maximize profitability and ensure ESG compliance.

Brochure

Aspen Big Loop

Aspen Big Loop™ is an open ecosystem for setting up automated, reproducible and auditable subsurface workflows. The workflows help propagate uncertainties and capture their dependencies while calibrating reservoir models to observed data. The result is reliable probabilistic predictions.

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