View source for 20240026778. SYSTEMS AND METHODS FOR APPLICATION OF STATISTICAL CLASSIFICATION AND PATTERN RECOGNITION FOR COMPARTMENT DESIGN IN HORIZONTAL OIL WELLS simplified abstract (Saudi Arabian Oil Company)

=SYSTEMS AND METHODS FOR APPLICATION OF STATISTICAL CLASSIFICATION AND PATTERN RECOGNITION FOR COMPARTMENT DESIGN IN HORIZONTAL OIL WELLS=


==Organization Name==

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


[[Category:Saudi Arabian Oil Company]]

==Inventor(s)==

[[:Category:Raheel R. Baig of Dhahran (SA)|Raheel R. Baig of Dhahran (SA)]][[Category:Raheel R. Baig of Dhahran (SA)]]

==SYSTEMS AND METHODS FOR APPLICATION OF STATISTICAL CLASSIFICATION AND PATTERN RECOGNITION FOR COMPARTMENT DESIGN IN HORIZONTAL OIL WELLS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240026778 titled 'SYSTEMS AND METHODS FOR APPLICATION OF STATISTICAL CLASSIFICATION AND PATTERN RECOGNITION FOR COMPARTMENT DESIGN IN HORIZONTAL OIL WELLS

==Simplified Explanation==

The patent application describes systems and methods for using statistical classification and pattern recognition techniques to design compartments in horizontal oil wells. The invention includes a drill for drilling the well and a computing device with a memory component that stores logic for processing data related to the well.

* The computing device receives input parameters for the target well and performs a log transformation on the permeability log data.
* The transformed data is used to calculate the mean and standard deviation.
* A classification flag is generated based on the standard deviation, which helps classify the permeability log and identify noise.
* The noise is then transformed using a predefined pattern library.
* A final transformed signal is created from the classification flag and the transformed noise.
* The final transformed signal is used to generate a compartment design, which provides recommended compartment intervals based on the measured depth of the target well.

Potential applications of this technology:

* Improved compartment design in horizontal oil wells.
* Enhanced understanding of permeability log data and noise classification.
* More accurate identification of compartment intervals based on measured depth.

Problems solved by this technology:

* Traditional compartment design methods may not effectively account for noise in permeability log data.
* Inaccurate compartment design can lead to inefficient oil recovery and increased costs.
* Difficulty in distinguishing noise from actual permeability data can impact decision-making in well design.

Benefits of this technology:

* More precise compartment design can optimize oil recovery and increase production efficiency.
* Improved understanding of permeability log data can lead to better decision-making in well design.
* Reducing noise in the data can enhance the accuracy of reservoir characterization and modeling.


==Original Abstract Submitted==

systems and methods for application of statistical classification and pattern recognition for compartment design in horizontal oil wells. one embodiment includes a drill for drilling a target well and a computing device that includes a memory component that stores logic that causes the computing device to receive an input parameter for the target well, perform a log transformation on the permeability log to create transformed data, and calculate a mean and a standard deviation of the transformed data. some embodiments generate a classification flag that classifies the permeability log, based on the standard deviation, classify noise from the permeability log, and transform the noise based on a predefined pattern library. some embodiments create a final transformed signal from the classification flag and the noise and generate a compartment design from the final transformed signal that provides recommended compartment intervals versus measured depth of the target well.



[[Category:E21B47/12]]
[[Category:E21B49/00]]