Well planning system
A system and method that include receiving a digital well plan and issuing drilling instructions for drilling a well based at least in part on the digital well plan. The system and method also include comparing acquired information associated with drilling of the well with well plan information of the digital well plan to determine if there is at least one deviation from the digital well plan. The system and method additionally include performing a search of a database upon determining that there is the at least one deviation, wherein the search generates results that comprise at least one outcome that is classified as being a positive outcome or a negative outcome. The system and method further include training a neural network as a machine learning model based on the results to electronically adjust the digital well plan to increase a likelihood of at least one positive outcome.
1. A method comprising:
receiving a digital well plan;
issuing drilling instructions for drilling a well based at least in part on the digital well plan;
comparing acquired information associated with drilling of the well with well plan information of the digital well plan to determine if there is at least one deviation from the digital well plan;
determining that there is the at least one deviation;
performing a search of a database upon the determining that there is the at least one deviation, wherein the search generates results that comprise at least one outcome that is classified as being a positive outcome or a negative outcome;
analyzing the at least one deviation to determine at least one factor of the digital well plan as being at least in part an underlying cause of the at least one deviation; and
training a neural network as a machine learning model based on the results to electronically adjust the digital well plan to increase a likelihood of at least one positive outcome.
2. The method of claim 1 , wherein the digital well plan comprises at least one member selected from a group consisting of a trajectory factor, a bottom hole assembly factor, and an operational factor.
3. The method of claim 1 , wherein the determining if there is the at least one deviation includes determining if there is a difference between the acquired information and the well plan information.
4. The method of claim 1 , wherein the at least one deviation is associated with difference between a planned factor value and an actual factor value, wherein the difference is classified as the positive outcome or the negative outcome based on a numeric difference being a positive difference or a negative difference.
5. The method of claim 1 , wherein the at least one deviation pertains to at least one of: an equipment, an operation of equipment, and timing of operations of equipment.
6. The method of claim 1 , wherein the positive outcome is associated with a shorter period to drill the well than planned.
7. The method of claim 1 , wherein the at least one deviation comprises a difference in a rate of penetration of the drilling or a difference in a dogleg of a wellbore of the well.
8. The method of claim 1 , comprising providing instructions to control at least one piece of equipment to adjust a drilling operation based on a classification of the at least one outcome.
9. A system comprising:
a processor;
memory accessible by the processor;
processor-executable instructions stored in the memory and executable to instruct the system to:
receive a digital well plan;
issue drilling instructions for drilling a well based at least in part on the digital well plan;
compare acquired information associated with drilling of the well with well plan information of the digital well plan to determine if there is at least one deviation from the digital well plan;
determine that there is the at least one deviation;
perform a search of a database upon the determination that there is the at least one deviation, wherein the search generates results that comprise at least one outcome that is classified as being a positive outcome or a negative outcome;
analyze the at least one deviation to determine at least one factor of the digital well plan as being at least in part an underlying cause of the at least one deviation; and
train a neural network as a machine learning model based on the results to electronically adjust the digital well plan to increase a likelihood of at least one positive outcome.
10. The system of claim 9 , wherein the digital well plan comprises at least one member selected from a group consisting of a trajectory factor, a bottom hole assembly factor, and an operational factor.
11. The system of claim 9 , wherein to determine if there is the at least one deviation includes determining if there is a difference between the acquired information and the well plan information.
12. The system of claim 9 , wherein the at least one deviation is associated with difference between a planned factor value and an actual factor value, wherein the difference is classified as the positive outcome or the negative outcome based on a numeric difference being a positive difference or a negative difference.
13. The system of claim 9 , wherein the at least one deviation pertains to at least one of: an equipment, an operation of equipment, and timing of operations of equipment.
14. The system of claim 9 , wherein the positive outcome is associated with a shorter period to drill the well than planned.
15. The system of claim 9 , wherein the at least one deviation comprises a difference in a rate of penetration of the drilling or a difference in a dogleg of a wellbore of the well.
16. The system of claim 9 , comprising providing instructions to control at least one piece of equipment to adjust a drilling operation based on a classification of the at least one outcome.
17. A non-transitory computer-readable storage medium storing instructions that when executed by a computer, which includes a processor performs a method, the method comprising:
receiving a digital well plan;
issuing drilling instructions for drilling a well based at least in part on the digital well plan;
comparing acquired information associated with drilling of the well with well plan information of the digital well plan to determine if there is at least one deviation from the digital well plan;
determine there is the at least one deviation;
performing a search of a database upon the determination that there is the at least one deviation, wherein the search generates results that comprise at least one outcome that is classified as being a positive outcome or a negative outcome;
analyze the at least one deviation to determine at least one factor of the digital well plan as being at least in part an underlying cause of the at least one deviation; and
training a neural network as a machine learning model based on the results to electronically adjust the digital well plan to increase a likelihood of at least one positive outcome.
18. The non-transitory computer-readable storage medium of claim 17 , comprising providing instructions to control at least one piece of equipment to adjust a drilling operation based on a classification of the at least one outcome.