US 2026/0195623 A1Published application

Systems and methods for carbon dioxide storage

AssigneeSchlumberger Technology Corporation

InventorsMelanie Jensen, Jeffrey Miles, Peter Tilke, Smaine Zeroug

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Abstract

Systems and methods for carbon dioxide (CO2) storage are provided. A method includes: (a) selecting variables for parameters for a candidate storage site (CSS) to store CO2, (b) identifying relationships among the variables, (c) building a probabilistic graphical model (PGM) network graph, including nodes corresponding to the variables, (d) defining functions describing the relationships, (e) collecting information on the variables for the CSS, (f) inputting the collected information into the graph, (g) propagating the information through the graph according to the functions and relationships, (h) evaluating values on the nodes for whether there is sufficient information to determine whether the CSS is an adequate site for CO2 storage, (i) if not, then repeating from c), (j) if so, then using the propagated information to evaluate a CSS storage site potential, (k) determining whether the CSS is adequate for storage, (l) taking action for CO2 storage for the CSS.

Claims16

Dependent claims

A method, comprising:

(a) selecting variables corresponding to parameters that influence an ability of a candidate storage site to store CO2;
(b) identifying relationships among the selected variables;
(c) building a probabilistic graphical model (PGM) network graph, the PGM network graph comprising a plurality of nodes respectively corresponding to the selected variables;
(d) defining a set of functions in the PGM network graph describing the identified relationships;
(e) collecting information about the candidate storage site, the information corresponding to the selected variables;
(f) inputting the collected information into the PGM network graph;
(g) propagating the information through the PGM network graph according to the defined functions and the identified relationships;
(h) evaluating values on the nodes of the network graph that enable a target storage site potential for the candidate storage site by using the propagated information to determine whether there is sufficient information about the candidate storage site to determine whether the candidate storage site is an adequate site for CO2 storage;
(i) when it is determined that there is not sufficient information, then repeating the method from c);
(j) when it is determined that there is sufficient information, then using the propagated information to evaluate a CO2 storage site potential of the candidate storage site;
(k) based on the result of (j), determining whether the candidate storage site is adequate for CO2 storage;
(l) based on the result of (k), taking one or more actions for CO2 storage for the candidate storage site.

9 more elements

A system, comprising:

one or more processors;
a non-transitory computer-readable medium storing instructions that, when executed, cause the one or more processors to:
(a) select variables corresponding to parameters that influence an ability of a candidate storage site to store CO2;
(b) identify relationships among the selected variables;
(c) build a probabilistic graphical model (PGM) network graph, the PGM network graph comprising a plurality of nodes respectively corresponding to the selected variables;
(d) define a set of functions in the PGM network graph describing the identified relationships;
(e) collect information about the candidate storage site, the information corresponding to the selected variables;
(f) input the collected information into the PGM network graph;
(g) propagate the information through the PGM network graph according to the defined functions and the identified relationships;
(h) evaluate values on the nodes of the network graph that enable a target storage site potential for the candidate storage site by using the propagated information to determine whether there is sufficient information about the candidate storage site to determine whether the candidate storage site is an adequate site for CO2 storage;
(i) when it is determined that there is not sufficient information, then repeat the method from c);
(j) when it is determined that there is sufficient information, then use the propagated information to evaluate a CO2 storage site potential of the candidate storage site;
(k) based on the result of (j), determine whether the candidate storage site is adequate for CO2 storage;
(l) based on the result of (k), take one or more actions for CO2 storage for the candidate storage site.

11 more elements

Dependencies are inferred from the claim text.

Facts

Application: 19/079,500Filed 14 Mar 2025
Priority: 7 Jan 2025
Published: 9 Jul 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G06N 7/01
Computing arrangements based on specific mathematical models: probabilistic graphical models, e.g. probabilistic networks
E21B 43/164
Enhanced recovery methods for obtaining hydrocarbons: injecting CO2 or carbonated water
G06N 10/60
Quantum computing, i.e. information processing based on quantum-mechanical phenomena: quantum algorithms, e.g. based on quantum optimisation,…
G06N 20/00
Machine learning