Systems and methods for application of statistical classification and pattern recognition for compartment design in horizontal oil wells

A system for application of statistical classification and pattern recognition for compartment design in horizontal oil wells comprising:

• drilling equipment for drilling a target well, wherein the target well is a horizontal well, wherein the drilling equipment includes a special purpose computing device that includes a memory component that stores logic, that when executed by the special purpose computing device, causes the system to perform at least the following:
• receive an input parameter for the target well, wherein the input parameter includes a permeability log for the target well;
• perform a log transformation on the permeability log to create transformed data;
• calculate a mean and a standard deviation of the transformed data;
• generate a classification flag that classifies the permeability log, based on the standard deviation;
• classify noise from the permeability log;
• transform the noise based on a predefined pattern library;
• create a final transformed signal from the classification flag and the noise;
• generate a compartment design from the final transformed signal that provides recommended compartment intervals versus measured depth of the target well;
• calculate a maximum compartment interval that can be physically installed in the target well, wherein the maximum compartment interval is a function of a joint length of completions tubing received as user input, wherein the maximum compartment interval, Imax is calculated as:
• I
• max
• =
• ⌈
• N
• S
• *
• J
• ⌉
• ,
• where “J” is a joint length given in feet, “S” is a number of samples per feet and “N” is a total number of data sample values in an input permeability array;
• and
• drill, using the drilling equipment, the target well based on the compartment design and the maximum compartment interval.

Drilling equipment for application of statistical classification and pattern recognition for compartment design in horizontal oil wells comprising:

• a drill for drilling a target well, wherein the target well is a horizontal well;
• and
• a computing device that includes a memory component that stores logic, that when executed by the computing device, causes the computing device to perform at least the following:
• receive an input parameter for the target well, wherein the input parameter includes a permeability log for the target well;
• perform a log transformation on the permeability log to create transformed data;
• calculate a mean and a standard deviation of the transformed data;
• generate a classification flag that classifies the permeability log, based on the standard deviation;
• classify noise from the permeability log;
• transform the noise based on a predefined pattern library;
• create a final transformed signal from the classification flag and the noise;
• generate a compartment design from the final transformed signal that provides recommended compartment intervals versus measured depth of the target well;
• calculate a maximum compartment interval that can be physically installed in the target well, wherein the maximum compartment interval is a function of a joint length of completions tubing received as user input, wherein the maximum compartment interval, Imax is calculated as:
• I
• max
• =
• ⌈
• N
• S
• *
• J
• ⌉
• ,
• where “J” is a joint length given in feet, “S” is a number of samples per feet and “N” is a total number of data sample values in an input permeability array;
• and
• drill, using the drill, the target well based on the compartment design and the maximum compartment interval.