View source for 17643993. RESERVOIR SIMULATION BASED ON CAPACITANCE-RESISTANCE MODELING FOR HYDROCARBON EXPLORATION simplified abstract (Saudi Arabian Oil Company)

=RESERVOIR SIMULATION BASED ON CAPACITANCE-RESISTANCE MODELING FOR HYDROCARBON EXPLORATION=


==Organization Name==

[[:Category:Saudi Arabian Oil Company|Saudi Arabian Oil Company]]


[[Category:Saudi Arabian Oil Company]]

==Inventor(s)==

[[:Category:Cenk Temizel of Dhahran (SA)|Cenk Temizel of Dhahran (SA)]][[Category:Cenk Temizel of Dhahran (SA)]]

[[:Category:Hasan O. Yildiz of Dhahran (SA)|Hasan O. Yildiz of Dhahran (SA)]][[Category:Hasan O. Yildiz of Dhahran (SA)]]

==RESERVOIR SIMULATION BASED ON CAPACITANCE-RESISTANCE MODELING FOR HYDROCARBON EXPLORATION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17643993 titled 'RESERVOIR SIMULATION BASED ON CAPACITANCE-RESISTANCE MODELING FOR HYDROCARBON EXPLORATION

==Simplified Explanation==

The patent application describes methods and systems for predicting oil production from a reservoir. Here are the key points:

* The system collects production data from a hydrocarbon reservoir, specifically data representing the fractional oil flow.
* Based on this production data, the system determines a relationship between the fractional oil flow and cumulative liquid production.
* The system then identifies a post-water breakthrough point using this relationship.
* Using the post-water breakthrough point, the system estimates a value for a group parameter at a reference point occurring after the breakthrough.
* Based on this value, the system generates predictions for future fractional oil flow and rate of oil production from the reservoir.

Potential applications of this technology:

* Oil and gas industry: This technology can be used by oil and gas companies to predict future oil production from reservoirs, helping them make informed decisions about drilling, production planning, and resource management.

Problems solved by this technology:

* Uncertainty in oil production: By accurately predicting future oil production, this technology helps address the uncertainty associated with oil reservoirs, allowing companies to better plan and optimize their operations.

Benefits of this technology:

* Improved decision-making: The predictions generated by this technology enable companies to make more informed decisions about resource allocation, production planning, and investment strategies.
* Cost savings: By optimizing production and resource management, companies can potentially reduce costs and maximize the value of their oil reservoirs.
* Increased efficiency: This technology helps streamline operations by providing accurate predictions, allowing companies to optimize production and minimize downtime.


==Original Abstract Submitted==

Methods and systems for predicting oil production from a reservoir are configured for obtaining production data from a hydrocarbon reservoir, the production data comprising data representing a fractional oil flow; determining, based on the production data, a relationship between the fractional oil flow and cumulative liquid production; identifying, based on the relationship between the fractional oil flow and cumulative liquid production, a post-water breakthrough point; estimating a value for a group parameter at a reference point of the relationship occurring after the post-water breakthrough point; and based on the value of the group parameter, generating a prediction of a future fractional oil flow and a future rate of production of oil from the hydrocarbon reservoir.



[[Category:E21B43/20]]
[[Category:E21B49/08]]
[[Category:G01V99/00]]