seismic

The authors develop a collocated finite-volume method to study induced seismicity as a result of pore-pressure fluctuations.

This paper describes the application of a synthetic seismic-catalog-generation method followed by application of a neural network on a seismic data set for an oil-producing field in the North Sea.

This paper describes an integrated work flow developed for 3D seismic reservoir characterization of deep and thin layers without sufficient well data in a South China Sea formation.

The past couple of years has been a rollercoaster for energy professionals, but it did not stop the incredible achievements in machine-learning (ML) techniques, particularly neural networks to improve seismic imaging.

Planned seismic survey will cover shallow water acreage ahead of a planned bid round in 2023.

The proposed restructuring plan aims to eliminate about $74 million of the company’s debt.

The controversial surveying technique has been used around Australia to look for oil and gas, but some environmentalists and scientists have warned the effects on marine life could be deadly.

Happily, in this past year, we witnessed several examples of marriage between two themes—exciting technology advances and the recent economic downturn. In other words, necessity for survival in hard times provided the impetus for innovation.

In this study, the authors use a quantitative seismic interpretation work flow (QSI) based on a rock-physics template in estimating the uncertainty of the geochemical properties of organic mudrocks of the Shublik formation of the Alaskan North Slope.

This paper demonstrates how maintaining investment in high-quality 3D seismic during the last downturn, together with selective exploration, quality geoscience, application of new technologies, and efficiently maturing discoveries to early cash flow, was successful in sustaining future production.