US 11,719,844 B2 · System and method for analyzing reservoir changes during production

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. 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.

Claims23

Dependent claims

A method of analyzing reservoir changes during production to increase reservoir production efficiency, comprising:

obtaining a seismic baseline of a reservoir prior to the production;
acquiring at least one seismic monitor of the reservoir after the production has started;
aligning the at least one seismic monitor with the seismic baseline to correlate one or more geological features of the reservoir;
generating a 3D seismic volume of differences by subtracting the seismic baseline from the aligned at least one seismic monitor;
utilizing a sliding window to generate a plurality of 2D image slices from the 3D seismic volume of differences and a mask;
training an artificial neural network utilizing the plurality of 2D image slices to generate a prediction model that predicts the reservoir changes during the production of the reservoir based on the seismic baseline and observed differences;
using the prediction model generated by the artificial neural network to generate actionable data to increase the reservoir production efficiency;
and
using the actionable data to alter production methods in order to increase the reservoir production efficiency.

6 more elements

Dependencies are inferred from the claim text.

System and method for analyzing reservoir changes during production

Life of this patent

System and method for analyzing reservoir changes during production

Life of this patent

Abstract

Claims23