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Competency Programs to Maximize Value of AspenTech® Digital Solutions

Learn how AspenTech University can help organizations to navigate challenges and compete at the highest level with our end-to-end competency development curriculum. AspenTech University offers flexible, expert-led classes that teach the in-depth knowledge and skills required to fully apply AspenTech solutions. Learn by solving real-world problems through hands-on exercises.

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Increase Exploration Success with Innovative Digital Geoscience Solutions

The future of the upstream industry lies in the adoption of innovative geoscience digitalization solutions to optimize operations. Machine learning applications for geoscience data have been in use for more than 25 years but have recently become critical due to massive growth in the amount of petrotechnical data being acquired. As machine learning evolves, it will play an increasingly visible role in analyzing surface and subsurface data.

Data Sheet

Subsurface Science & Engineering Product Overview

Global energy companies trust the AspenTech® Subsurface Science & Engineering portfolio to solve their most complex exploration and production challenges while reducing geological risks and minimizing impact on the environment. Get a quick look at our products, with QR codes linking to more details. Download now.

Technical Paper

Improved Imaging and Subtle Faults and Fracture Characterization using Full Azimuth Angle Domain Imaging: A Case Study from Cambay Basin, India

Full azimuth angle domain imaging provides an alternate way to map events in structurally complex areas. Information about continuous surfaces can be derived from specular gathers, while diffraction gathers are used to derive information about discontinuity i.e., faults and small-scale fractures.

Technical Paper

Enhancing the Imaging Quality of Pay Sands and Improving the Deeper Paleocene and Cretaceous Sediments Through Advancements in Seismic Processing and Full Azimuth Imaging from Land & OBC Data - a Case Study from KG Basin, India

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.

Technical Paper

Maximize the Value of Vintage 3D Seismic Data Through Accurate Velocity Model Building and State-of-the-Art Data Conditioning and Imaging Tools - Case Studies from Cauvery On-Land and KG Offshore Basins

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.

Technical Paper

Application of AVAZ and VVAZ Study to Predict Fractured Reservoir Using Full-Azimuth Seismic Data - A Case Study in a Field of Cauvery Basin, India

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.

Technical Paper

Improved Imaging Below the Deccan Trap: An Attempt to See Sub-Trappean Mesozoic Sediments

Sub-basalt imaging is difficult due to loss of seismic energy, attenuation, absorption, scattering and mode conversion.

Technical Paper

Improving Underlying Image by Resolving High Velocity Anomaly Using Sonic Log in Velocity Model Building

In the presence of complex geology and lateral velocity variations, unresolved velocity anomalies in the overburden degrade deeper imaging.

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.

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