The physics that describes the seismic response of an interval of saturated porous rocks with
known petrophysical properties is relatively well understood and includes rock physics …

There are various approaches for quantitative estimation of reservoir properties from seismic
inversion. A general Bayesian formulation for the inverse problem can be implemented in …

The Earth below ground is the subject of interest for many geophysical as well as geological
investigations. Even though most practitioners would agree that all available information …

The main motivation for writing this book is to report on an existing repertoire of geostatistical
methods for handling the integration of geophysical information in reservoir modeling and …

We have built convolutional neural networks (CNNs) to obtain petrophysical properties in
the depth domain from prestack seismic data in the time domain. We compare two workflows …

摘要储层物性参数是储层描述的重要参数, 常规的基于贝叶斯理论的储层物性参数反演方法大多
是通过反演获得的弹性参数进一步转换而获得物性参数, 本文提出一种基于弹性阻抗数据预测储 …

Among the large variety of mathematical and computational methods for estimating reservoir
properties such as facies and petrophysical variables from geophysical data, deep machine …

Sediment porosity and saturation affect bulk modulus, shear modulus, and density.
Consequently, estimating hydrocarbon saturation and reservoir porosity from seismic data is …

储层物性的地震预测技术综述 Page 1 2021 年第36 卷第2 期 2021,36( 2) : 0595-0610 地球
物理学进展Progress in Geophysics http: //www.progeophys.cn ISSN 1004-2903 CN 11-2982 …

Gathering the right kind and the right amount of information is crucial for any decision-
making process. This book presents a unified framework for assessing the value of potential …