Technical Content

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 ...

Driven by the notion that blending noise may materially increase the background noise level and obscure the interpretation of weak time-lapse (4D) signals related to subtle reservoir changes, the industry has not yet seen any simultaneous-source (sim-source) surveys acquired for reservoir monitoring. Thus, whether ...

Shear wave velocity model building (S-wave VMB) is a critical and difficult processing step for converted wave imaging. Conventional S-wave VMB depends on PP-PS joint interpretation-based image registration and PP-PS joint tomography-based residual moveout flattening which have certain advantages and drawbacks. We introduce PS ...

Although the resolution of a seismic image is ultimately bound by the spatial and temporal sampling of the acquired seismic data, the seismic images obtained through conventional imaging methods normally fall far short of this limit. In addition to attenuation in the Earth, factors ...

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 ...

Time-lapse (4D) seismic surveys are devised to detect subsurface changes resulting from hydrocarbon production and fluid injection. Full-waveform inversion (FWI) of time-lapse seismic data has been reported to provide high-resolution estimates of 4D changes. However, successful applications of 4D FWI on field data have ...