Technical Content

Full waveform inversion (FWI) using diving waves has in recent years become a standard model-building tool in the Central North Sea (CNS). Below the maximum depth of diving wave penetration however, we have remained reliant on ray based tomographic methods, which although powerful, have ...

Full-waveform inversion has been established as a standard tool for building high-resolution velocity models. To take full advantage of such models, the migration algorithm must be capable of handling fine-scale geo-bodies and sharp contrasts while affordably producing high-frequency migration stacks and gathers. Even though ...

High-quality depth images typically require accurate high resolution representations of the earth model. Full-waveform inversion (FWI) has recently justified its value throughout the industry in providing high-resolution velocity models. However, obtaining an accurate FWI velocity model using narrow-azimuth streamer data can still be challenging ...

Recently, land full-waveform inversion (FWI) has shown great potential in resolving near-surface complexity in the Delaware Basin, providing significant imaging uplift and useful information for shallow hazard identification. However, deep section updates beyond diving wave penetration remain challenging. We present an application of land ...

Machine learning (ML) has garnered great attention within the field of seismic processing due to its vast achievements for quality and efficiency in the area of computer vision. Recent academic papers have demonstrated some potential for the use of machine learning in processing seismic ...

Seismic images obtained through conventional migration methods have limitations as amplitude distortions and migration artifacts. To mitigate these limitations, we can generate FWI Images by computing the reflector-normal derivatives of the high-frequency FWI velocities. Given the resolution, accuracy, and geological consistency of the velocities ...

Compared with towed-streamer acquisitions, ocean bottom nodes (OBN) generally provide fuller-azimuth illumination of the subsurface, longer offsets, higher signal-to-noise ratio (S/N), and improved low frequencies. These advantages provide the necessary ingredients for two key elements of seismic exploration and monitoring: (i) full-waveform inversion (FWI) ...

Seismic time-lapse (4D) surveys have been widely used to quantitatively monitor the geophysical property changes within hydrocarbon reservoirs due to production effects. Full-waveform inversion (FWI), which has become one of the most reliable tools for velocity model building (VMB), is a natural technology choice ...

After many years of processing seismic streamer data acquired over the Shenzi field in deep-water Gulf of Mexico (GOM) with the best available technology, the workflows have remained highly interpretive, far from robust, often time-consuming, and ultimately proved inadequate for resolving the complexity of ...