An inversion algorithm is commonly used to estimate the elastic properties, such as P-wave
velocity (VP), S-wave velocity (VS), and density (ρ) of the earth's subsurface. Generally, the …

As one of the most important elastic parameters in seismic exploration, density plays an
important role in lithology identification and hydrocarbon indicator. Based on the …

Knowledge of the S-wave velocity (VS) and density (ρ) is essential for oil and gas reservoir
detection and characterization. However, reliable recovery of both parameters, especially …

Prestack seismic inversion is one of the most commonly used methods to describe
reservoirs. Deep learning (DL) has received wide attention because of its ability to handle …

ABSTRACT A pre-stack inversion is performed to estimate elastic properties like VP, VS, r of
the earth's subsurface. Pre-stack inversions are generally solved employing a global or local …

Elastic impedance (EI) and amplitude variation with offset or angle (AVO/AVA) inversion are
two cardinal methods to estimate elastic parameters underground with reflection seismic …

Obtaining interlayer weak reflection information that helps identify properties and accurate
density information from complex and elusive reservoirs is particularly important for reservoir …

As for a typical machine-learning method, large volume of labeled examples is required to
train and update neural parameters that are later used on new datasets. Well logs usually …

Prestack seismic data amplitude variation with angle (AVA) inversion is critical in identifying
oil and gas reservoirs. Recently, deep learning (DL) has gained significant popularity in AVA …

常规AVO 三参数反演通常存在密度反演不准确的问题, 而密度参数对常规油气藏中的流体识别,
流体饱和度计算, 孔隙度计算以及非常规油气藏中TOC 含量计算, 裂缝预测等都至关重要 …