Automated vertical-curve-lateral drilling
A method may include dividing a wellplan into one or more section using a section detection algorithm, receiving a depth measurement of a drill bit or a bottom hole assembly located in a wellbore, utilizing the section detection algorithm and the depth measurement to identify a section of the wellplan from the one or more sections of the wellplan, and identifying a target based at least in part on the identified section. The method may further include determining one or more steering commands based at least in part on the target and a control algorithm and steering the bottom hole assembly to the target using the one or more steering commands.
1. A method comprising:
dividing a wellplan into one or more sections using a section detection algorithm in real-time during drilling operations;
receiving a depth measurement of a drill bit or a bottom hole assembly located in a wellbore;
determining a current section of the wellplan with the section detection algorithm based on a depth measurement as a vertical section, a tangent section, a curve section, and a lateral section;
identifying a target based at least in part on the current section;
determining one or more steering commands based at least in part on the target and a control algorithm; and
steering the bottom hole assembly to the target using the one or more steering commands.
2. The method of claim 1 , further comprising identifying one or more constraints based at least in part on the current section and determining the one or more steering commands based at least in part on the one or more constraints.
3. The method of claim 1 , wherein the target is located within a same section of the wellplan from where the drill bit or the bottom hole assembly is located.
4. The method of claim 1 , wherein the target is located within a different section of the wellplan from where the drill bit or the bottom hole assembly is located.
5. The method of claim 1 , wherein dividing the wellplan into one or more sections further comprises dividing the wellplan according to a vertical threshold, a lateral threshold, and a dog-leg severity threshold.
6. The method of claim 5 wherein the vertical threshold is about 0 degrees to about 3 degrees, the lateral threshold is about 80 degrees to about 95 degrees, and the dog-leg severity threshold is about 0 degrees per 100 feet to about 0.5 degrees per 100 feet.
7. The method of claim 1 , wherein the target comprises at least one target selected from the group consisting of a location, an attitude, a curvature, a build rate, a walk rate, or a combination thereof.
8. The method of claim 1 , wherein the control algorithm further comprises a model-based control or a model-free control.
9. The method of claim 8 wherein the model-based control comprises at least one model-based control selected from the group consisting of linear quadratic regulators, model predictive control, and combinations thereof.
10. The method of claim 8 , wherein the model-free control is a proportional-integral-derivative.
11. A system comprising:
a bottom hole assembly comprising at least one sensor configured to take at least one measurement; and
an information handling system configured to:
divide a wellplan into one or more sections based at least in part on a section detection algorithm and one or more thresholds in real-time during drilling operations;
receive a depth measurement from the at least one sensor, wherein the depth measurement corresponds to a location of a drill bit or a bottom hole assembly;
determine a current section of the wellplan with the section detection algorithm based on a depth measurement to be a vertical section, a tangent section, a curve section, or a lateral section;
identify a target based at least in part on the determined section of the wellplan; and
determine one or more steering commands based at least in part on the target and a control algorithm; and
direct the bottom hole assembly to advance through a subterranean formation to the target in accordance with the one or more steering commands.
12. The system of claim 11 , wherein the information handling system is further configured to identify one or more constraints based at least in part on the current section and determine the one or more steering commands based at least in part on the one or more constraints.
13. The system of claim 11 , wherein the one or more thresholds include at least one of a vertical threshold, a lateral threshold, and a dog-leg severity threshold, and wherein the vertical threshold is about 0 to about 3 degrees, the lateral threshold is about 80 degrees to about 95 degrees, and the dog-leg severity threshold is about 0 degrees per 100 feet to about 0.5 degrees per 100 feet.
14. The system of claim 11 , wherein the target comprises at least one target selected from the group consisting of a location, an attitude, a curvature, a build rate, a walk rate, or a combination thereof.
15. The system of claim 11 , wherein the control algorithm further comprises a model-based control algorithm.
16. The system of claim 15 , wherein the model-based control algorithm comprises at least one model-based control algorithm selected from the group consisting of linear quadratic regulators, model predictive control, and combinations thereof.
17. The system of claim 11 , wherein the control algorithm is a model-free control algorithm.
18. The system of claim 17 , wherein the model-free control is a proportional-integral-derivative.