Sweet spots identification for unconventional shale reservoirs involves detection of organic-
rich zones with abundant porosity. However, commonly used elastic attributes, such as P …

Lithology identification based on conventional well-logging data is of great importance for
geologic features characterization and reservoir quality evaluation in the exploration and …

Seismic prediction of fluid and lithofacies distribution is of great interest to reservoir
characterization, geologic model building, and flow unit delineation. Inferring fluids and …

Lithology classification in well logging plays a significant role in evaluating the quality of oil
and gas reservoirs. Conventionally, the manual interpretation method is of much more …

Seismic characterisation of deep carbonate reservoirs is of considerable interest for
reservoir distribution prediction, reservoir quality evaluation and reservoir structure …

Porosity prediction from seismic data in carbonate reservoirs is challenging because the
common presence of heterogeneities in carbonates makes it difficult to establish a clear …

Evaluating any subsurface CO 2 storage site comprises the reservoir, seal, and overburden
investigation to mitigate injection and storage-related complications. The Upper-Middle …

This study focuses on the origins, scale of occurrence, and predictability of reservoir
heterogeneities of the carbonates of the Upper Cretaceous Sarvak Formation in five oilfields …

In the field of seismic inversion, Convolutional Neural Network (CNN) has been extensively
applied for their powerful capability of feature extraction and nonlinear fitting. However, the …

As the accumulation of logging data and the enhancement of computational power, machine
learning technology has been progressively applied to logging interpretation field such as …