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Chris Page, EVP New Businesses Development, Viridien, explains how technologies used to support oil and gas exploration and development are enabling innovations in the energy transition and beyond.

In ocean bottom acquisition, receiver side deghosting is normally done by summing together the hydrophone P and geophone Z data. A prerequisite for this method to work effectively is the precise calibration of geophones to hydrophones, so as to compensate for the differences in sensitivity and coupling. A “cross-ghosting” approach has been proposed to extrapolate geophone and hydrophone data to have the same manner for matching. However, as far as we know, existing cross-ghosting methods are based on a 1D geology assumption. In this paper, we describe a cross-ghosting method using 2D wave-equation extrapolation, which accurately predicts the ghost according to the structure of the seafloor.

This paper demonstrates how generative artificial intelligence (AI) enhances geoscientific document processing by improving text analysis, table extraction, and figure classification.

Low frequency information is required for quantitative reservoir characterization. Because borehole measurements are often (laterally) sparse and preferential towards reservoir locations, there is much uncertainty on the low frequency models away from well control. Methods to improve the reliability of the low frequency data include the use of low frequency update schemes or seismic attribute maps. The use of seismic velocity data for trend modeling is well recognized, but the methodology for incorporating the velocity is not always clearly described. Especially in case of an AVO/AVA study, a rigorous workflow is desired. Here, we propose a method to include seismic velocity data. The methodology uses local geological knowledge through rock physics relations. We validate by comparing results of a more common method with our proposed workflow at blind wells. This shows that a low frequency model that does not use the velocity data misses significant (lateral) variations that are representative for the local geology.

A case study of the acquisition and background to the integrated multi-client geoscience project over the Gabon South basin.The deepwater area of the Gabon South basin is one of the last underexplored areas of the West Africa Atlantic Margin. CGG is acquiring and imaging a large broadband, multi-client 3D survey, covering over 25,000 km2 in this area, which will form the cornerstone of a major, integrated G&G study of the region.

Successful development of known fields requires high-quality seismic data in order to accurately delineate the reservoir through processes such as seismic inversion and reservoir characterization studies. In the new oil price regime this has become even more important as oil companies try to keep the total cost of production down while at the same time optimizing the life of the field. Tailored seismic acquisition designs with complementary imaging technology matched to the local geology provide seismic data that better meets the objectives for each reservoir.

ELEM Biotech creates the fastest and most accurate virtual humans and virtual trials technology for the biomedical industry. Integrating its solutions in the development of new drugs and devices empowers companies to scale their capacity to test in human models, generate scientific evidence when it matters most, and de-risk innovation. ELEM Biotech’s human twins, crafted from real patient data, produce critical insights quickly and efficiently to support important decisions that protect patient and business interests. Solutions are cloud-deployed for easy access by pharmaceutical laboratories, medtechs or hospitals.

Article describes application of TomoML to our 35,000 km2 Cornerstone survey in the North Sea. Also make reference to broadband deghosting, dip-constrained channel tomography and dual azimuth.

Full-waveform inversion (FWI) has found great success in different geologic settings and has become a must-have tool for velocity model building (VMB), particularly in salt environments where geology and velocity are often highly complex. While still acoustic, FWI has already significantly improved salt models and marked a step-change in subsalt imaging compared to conventional VMB workflows driven by manual salt interpretation.