On-Demand Webinar

Consider the “Planning & Scheduling Gap” Closed – the New Aspen Unified V14

In a rapidly evolving global market, energy and chemical companies are always looking for ways to squeeze the most margins out of operations—and meet planned targets. New innovations in planning and scheduling software are making that easier than ever.

Technical Paper

Efficacy of Diffraction Imaging for Identification of Faults and Fractures: A Case Study with (a) Full Azimuth 3D Land Data and (b) Narrow Azimuth 3D Marine Data

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.

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.

Blog

How Companies Can Get More From Their Data

As we move forward into a new era of energy data management, standards-based, data-driven solutions will play a pivotal role in shaping a more efficient, sustainable and resilient energy future.

Video

Increase Power Grid Visibility, Control and Optimization with an Enterprise DERMS

Utility providers are facing a period of intense change as the world makes its way through the energy transition. For those companies with the vision and determination to take advantage of the opportunity, DERMS software offers not just a solution to challenges, but a pathway to significant value for utilities.

On-Demand Webinar

How Iberdrola's Load Flexibility and DERMS Support Spain's Push for 100% Renewables

Recently, over a nine-hour period, Spain's electrical grid accomplished something significant: renewable generation—including wind, solar and hydropower—exceeded the nation's total electricity demand. While still far from the 2050 net-zero target, Spain is on its way thanks to the Iberdrola Group, a global energy leader that is taking bold action to achieve a 100% renewable electricity system.

Other

AspenTech and Azure Data Manager for Energy

Microsoft and AspenTech partner in advancing how energy companies optimize and interact with data.

Case Study

Infineum Increases Production Globally by 2,000 Tons per Year with Aspen InfoPlus.21®

Infineum, a world leader in the formulation, manufacturing and marketing of petroleum additives, embarked on a global manufacturing excellence program with the objectives of increasing capacity through improved manufacturing efficiency index (MEI) performance, improving data quality through standard processes for data collection and management and improving the efficiency of tools available for performance analysis.

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