Blog

Insights from ARC Forum 2023: Navigating the Path to a Sustainable Future

At the annual ARC Forum meeting in Orlando, we highlight the dual challenge of meeting the growing demand for resources while addressing sustainability goals.

Blog

Taming the Downtime Scheduling Beast

Achieve supply chain resilience with downtime scheduling that leverages prescriptive maintenance and advanced scheduling optimization to minimize impact on production.

Press Release

Aspen Technology Combines inmation Software and AIoT Hub to Advance Customers’ Digital Transformation Strategies

A global leader in industrial data management from the shopfloor to the boardroom, we accelerate data-driven value creation in asset-intensive industries through robust data software offerings. 

Blog

Exploring the African Heritage in our Daily Cuisine

To celebrate Black History Month, Byron Gautier, a member of the AspenTech Black Leadership Forum, explores how African culture has shaped our food, drink and American popular culture.

Blog

Introducing the AspenTech DataWorks Business Unit

AspenTech DataWorks is purpose-built to be the global leader in industrial data management.

Technical Paper

Unsupervised Machine Learning for Seismic Facies Classification Applied in Presalt Carbonate Reservoirs of the Búzios Field, Brazil

Seismic data can provide useful information for prospect identification and reservoir characterization. Combining seismic attributes helps identify different patterns, for improved geological characterization. Machine learning applied to seismic interpretation is very useful in assisting with data classification limitations.

Technical Paper

Hybrid Approach in Velocity Model Building: A Case Study from Western Offshore Basin, India

In depth imaging, depth calibration using well-tie updated velocity is generally applied to poststack data. This is the most correct type of depth calibration as it positions structures in their proper places.

Technical Paper

Anisotropic Full-Azimuth Velocity Model Building Using Joint Reflection-Refraction Tomography

One of the main challenges in seismic imaging, especially of land data, is building the near surface velocity model, as it is normally characterized by very low velocity values with different types of local anomalies. Resolving the near surface velocity model using only refraction data is insufficient, as it does not provide the required lateral resolution. Using only reflection data is equally insufficient, as it does not provide the required vertical resolution.

Technical Paper

Mitigation of Geothermal Induced Seismicity Through Data Integration and 3D Geomodeling in a Cloud-Hosted Environment

Geothermal energy is a key resource for providing clean, reliable and sustainable energy. Induced seismicity events, with magnitudes large enough to be felt by local communities and impact surface infrastructures, are an undesirable potential result of geothermal operations, and significantly impact social acceptance. Mitigating adverse effects is of upmost importance if one wishes to increase the number of safe, sustainable geothermal projects.

Technical Paper

Drilling Simulation and Risk Assessment of the IDDP-2 Geothermal Well in Iceland

The Reykjanes reservoir, lying in a volcanic environment in Iceland, is assumed to contain supercritical fluids, whose energy content is about ten times higher than conventional geothermal systems. Drilling a well in this environment has to cope with very high temperature and pressure as well as an intensely fractured subsurface. A detailed well design can help minimize the likelihood of drilling and completion problems that could compromise the success of the project.

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