Leverage machine learning to perform quick and accurate amplitude inversions and rock property estimations when short project timelines exist. Aspen SeisEarth’s Neural Network Inversion feature provides a step-by-step workflow available for interpreters and non-specialists.

In this article, legacy 3D seismic data from the KG deep water basin underwent broadband reprocessing using state-of-the-art-software.

This paper presents a method for maximizing fault information from depth migrated narrow-azimuth as well as full-azimuth seismic data. The study demonstrates that depth domain diffraction imaging can be used to generate higher resolution fault definition than conventional reflectivity volumes, or their derivative post-stack attributes.

The latest advancements in seismic processing and imaging, such as geostatistical interval velocity derivation and full-azimuth imaging, have improved many geologically complex and structurally deeper sediments.

High-quality subsurface images are critical for uncovering geological and geophysical aspects of the subsurface. Much vintage data was acquired in areas where no new surveys are available for a variety of reasons, so that reprocessing existing data may be the only option. The reprocessing results discussed in this paper have tremendously improved image quality and increased the interpreter’s confidence by resolving depth issues, fault positioning and reservoir connectivity.

Natural and induced fractures play a vital role in determining hydrocarbon producibility in basement exploration. An accurate understanding of fracture networks is critical for optimizing development in naturally fractured reservoirs, since the intensity and orientation of fractures significantly affect fluid flow in the reservoir rocks. Assorted techniques are available to characterize these fractures.

Learn how Aspen Geolog Multimin was used to help a company in Switzerland find a suitable site for the deep geological disposal of radioactive waste. Aspen Geolog Multimin provided detailed and precise information, enabling accurate rock characterization in a highly detailed acquisition.

Interested in learning how digital solutions support end-to-end gas exploration and production to meet the increased demand for natural gas? Watch AspenTech’s Subsurface Science & Engineering experts discuss how you can optimize operations across your assets’ lifecycle to offset threats of sustainability and energy security.

Aspen Big Loop™ is an application-agnostic ecosystem for setting up automated, reproducible and auditable workflows that help propagate uncertainties and capture their dependencies, resulting in reliable probabilistic predictions. The workflow is easy to update and enables asset teams to spend more time analyzing the results and building a common understanding of the reservoir. Watch this video for an overview of the unique characteristics of Big Loop - evergreen, ensemble-based and collaborative.

A major operator providing oil and gas exploration and extraction services in the Caspian Sea region deployed an ensemble simulation workflow utilizing the Aspen Big Loop technology to perform uncertainty and risk estimation as part of the project feasibility assessment, with Aspen Tempest as an orchestrator.