Seismic velocity is considered the best attribute related to formation pressure changes.
Integrating seismic attributes and well-logging data through seismic inversion predicts the …

Significant research has been done on estimating reference evapotranspiration (ET 0) from
limited climatic measurements using machine learning (ML) to facilitate the acquirement of …

The emergence and application of geological models have contributed to new assessment
schemes for oil and gas reservoir development. The model simulates stratigraphic …

In the seismic methods, estimation of the formation pressures is obtained by converting the
seismic velocity to the pore pressure, and comparing it with the effective pressure during the …

Automatic seismic image segmentation and further geological interpretation, requires
accurate detection of the target's boundary through applying image analysis techniques …

Geological structural and target stratigraphic units can be well distinguished and clearly
presented in seismic data based on their physical characteristics. However, due to the …

Seismic elastic parameter inversion translates seismic data into subsurface structures and
physical properties of formations. Traditional model-based inversion methods have …

Precise delineation of a salt dome's geobody in seismic data requires intelligent integration,
image fusion or combination of seismic attributes using advance methods. There are various …

The seismic data interpretation reveals properties of the subsurface structures, appropriate
for further geological or exploration investigations. The buried channels are desired …

To reveal the effect of faults in the deep and ultra-deep oil and gas reservoirs, based on the
comprehensive analysis of drilling logs and the core and seismic data, the development and …