Biosimulytics focuses on developing a platform that enables
biopharma companies to shorten the time to market of new drug compounds by simulating lead optimization, one of the most challenging steps of the drug development process. This process
relies on tedious laboratory experiments to crystallize ...
A primary motivator for users to turn to HPC resources in the cloud has been to provision temporary capacity for jobs that surge and exceed the available utilization of on-premises systems. While that is still a driver for consuming HPC cloud resources, an increasing ...
In this paper, we show, first, how a high-resolution 65 Hz Vp model, obtained using Time-Lag FWI, can improve the imaging from the shallow to the deep. Similar improvements are then shown for PS data using a 30 Hz Vs model obtained from PS ...
This paper illustrates a robust methodology for achieving detailed mapping of sand injectites in the Greater Fram area using seismic attribute analysis and integrating machine learning techniques that are specifically targeted at injectites and fault prediction. Key to our methodology is the use of ...
We propose a more accurate alternative to Gassmann's equation for the modeling of the undrained bulk compressibility of a reservoir rock with moderate to high crack density. The new model combines the Vernik-Kachanov model and Brown-Korringa's equation. A practical quantification of the applicability of ...
Exploring the Middle East’s energy landscape in an exclusive chat with CGG’s Ramez Refaat
A major challenge in the US Gulf of Mexico is transforming disparate public datasets into a quality-controlled database. CGG has successfully created and used the database for its Storage Play Quality Index (SPQI) carbon storage screening methodology and applied its latest imaging technologies to ...
This whitepaper summarizes the marine geothermal system and co-production opportunities, an overview of where geothermal can be deployed, best practices for responsible development of offshore geothermal, and growth opportunities that offshore geothermal can bring to developing nations.
This article discusses how machine learning and artificial intelligence methods can screen a large corpus of unstructured documents, locating and analysing core and thin section images for the purposes of porosity quantification, assignment of core and thin section scale sedimentary facies and the detection ...