Cenovus Energy Inc.

Husky Oil Operations Limited

Behrang Koushavand

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. Corresponding 2D image slices derived from the 3D seismic baseline and a subsequent monitor are correlated and matched and are then used to train an artificial neural network to create a predictive model of how the reservoir may change over time.

System and method for analyzing reservoir changes during production

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.

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Calgary, Canada

Behrang Koushavand