seismic

This paper presents a novel approach to predict reservoir porosity by conditioning seismic data, calibrating seismic impedance inversion, and tailoring rock-physics analysis.

The paper describes a project in which extremely challenging stimulations were performed in a fractured tight carbonate in a complex strike/slip stress faulting regime with high tectonic stresses.

Working with Dell Technologies and NVIDIA, the French supermajor is targeting improved seismic processing and artificial intelligence applications.

The paper describes the revalidation of a deepwater prospect that resulted in a no-drill decision.

Smart Seismic Solutions plans to use 50,000 nodes to examine storage potential for the Greenstore CCS project.

This paper provides an account of the design, implementation, and operational insights from an enhanced geothermal system proppant stimulation targeting a volcanic, dry rock setting with an approximately 330°C bottomhole temperature.

This paper describes the implementation of a one-way wave equation in slowness domain outputting gathers up to Nyquist frequency, which can be used to generate high-resolution seismic sections and amplitude-vs.-offset studies.

This paper presents a self-supervised approach for training a seismic foundation model and demonstrates scenarios in which it is used for seismic data conditioning, interpretation, and inversion through six real-use cases.

This paper provides an overview of an operator’s application of 4D time-lapse seismic technology over approximately a decade and includes future perspectives.