Abstract: There is disclosed a system and method for analyzing geological features of a reservoir, such as a subterranean hydrocarbon reservoir undergoing changes during different stages of its production, by utilizing an artificial neural network to learn from hydrocarbon reservoir production project. In an aspect, there is provide a system and method for utilizing data collected from 4D seismic studies in order to train an artificial neural network to recognize how physical properties of a hydrocarbon reservoir change over time, as the hydrocarbon reservoir is produced. In an embodiment, the system and method are adapted to generate and obtain a plurality of image slices or image planes derived from a 3D seismic baseline and at least one monitor acquired over the course production of the hydrocarbon reservoir.

Abstract: Systems and methods for field of reservoir characterization, and more specifically to more accurate and processor efficient methods of permeability modeling. The systems efficiently determine a permeability of a reservoir using a deep convolution neural network and core photographs and Vshale logs. In some aspects, the core photographs are windowed to determine a continuous permeability ratio for the reservoir.

Abstract: There is disclosed a system and method for analyzing geological features of a reservoir, such as a subterranean hydrocarbon reservoir undergoing changes during different stages of its production, by utilizing an artificial neural network to learn from hydrocarbon reservoir production project. In an aspect, there is provide a system and method for utilizing data collected from 4D seismic studies in order to train an artificial neural network to recognize how physical properties of a hydrocarbon reservoir change over time, as the hydrocarbon reservoir is produced. In an embodiment, the system and method are adapted to generate and obtain a plurality of image slices or image planes derived from a 3D seismic baseline and at least one monitor acquired over the course production of the hydrocarbon reservoir.

Abstract: Systems and methods for field of reservoir characterization, and more specifically to more accurate and processor efficient methods of permeability modeling. The systems efficiently determine a permeability of a reservoir using a deep convolution neural network and core photographs and Vshale logs. In some aspects, the core photographs are windowed to determine a continuous permeability ratio for the reservoir.