System and method for well interference detection and prediction
Systems and methods for generating an interference prediction for a target well are disclosed herein. A computing system generates a plurality of interference metrics for a plurality of interference events. For each well, the computing system generates a graph based representation of the well and its neighboring wells. The computing system generates a predictive model using a graph-based model by generating a training data set and learning, by the graph-based model, an interference value for each interference event based on the training data set. The computing system receives, from a client device, a request to generate an interference prediction for a target well. The computing system generates, via the predictive model, an interference metric based on the one or more metrics associated with the target well.
1. A method, comprising:
receiving, by a computing system from a client device, a request to generate an interference prediction for an interference event for a well, wherein the interference event is a well completion event corresponding to a target offset well and the interference prediction captures an effect of the well completion event off the target offset well on a production of the well, the request comprising one or more metrics associated with the well;
analyzing, by the computing system via a predictive model, an effect of the interference event on the well, the analyzing comprising:
determining a relationship of the well to a first plurality of wells co-located with the well, and
for each well of the first plurality of wells, generating a further relationship between the first plurality of wells and a second plurality of wells co-located with the first plurality of wells; and
generating, by the computing system, an interference metric based on the one or more metrics associated with the well, the determined relationship of the well with the first plurality of wells co-located with the well, and the determined further relationship between the first plurality of wells and the second plurality of wells co-located with the first plurality of wells.
2. The method of claim 1 , wherein determining the relationship of the well to the first plurality of wells co-located with the well comprises:
generating a graph-based representation of the well and the first plurality of wells, the generating comprising:
generating a node for the well and each of the first plurality of wells co-located with the well, and
connecting each node with a directed edge, wherein the directed edge represents a relationship between a starting node and an ending node.
3. The method of claim 2 , wherein connecting each node with the directed edge comprises:
determining that the starting node and the ending node are connected based on spacing information between the starting node and the ending node.
4. The method of claim 2 , wherein connecting each node with the directed edge comprises:
determining a first completion time for the starting node and a second completion time for the ending node.
5. The method of claim 2 , wherein analyzing, by the computing system via the predictive model, the effect of the interference event on the well comprises:
converting the graph-based representation of the well into a matrix based representation.
6. The method of claim 1 , further comprising:
generating, by the computing system, a web page or portal through which a user may view the interference metric.
7. The method of claim 1 , wherein the interference metric comprises a predicted change in production of a well based on the interference event.
8. A non-transitory computer readable medium having one or more sequences of programming instructions stored thereon, which, when executed by a processor, causes a computing system to perform operations comprising:
receiving, by the computing system from a client device, a request to generate an interference prediction for an interference event for a well, wherein the interference event is a well completion event corresponding to a target offset well and the interference prediction captures an effect of the well completion event off the target offset well on a production of the well, the request comprising one or more metrics associated with the well;
analyzing, by the computing system via a predictive model, an effect of the interference event on the well, the analyzing comprising:
determining a relationship of the well to a first plurality of wells co-located with the well, and for each well of the first plurality of wells, generating a further relationship between the first plurality of wells and a second plurality of wells co-located with the first plurality of wells; and
generating, by the computing system, an interference metric based on the one or more metrics associated with the well, the determined relationship of the well with the first plurality of wells co-located with the well, and the determined further relationship between the first plurality of wells and the second plurality of wells co-located with the first plurality of wells.
9. The non-transitory computer readable medium of claim 8 , wherein determining the relationship of the well to the first plurality of wells co-located with the well comprises:
generating a graph-based representation of the well and the first plurality of wells, the generating comprising:
generating a node for the well and each of the first plurality of wells co-located with the well, and
connecting each node with a directed edge, wherein the directed edge represents a relationship between a starting node and an ending node.
10. The non-transitory computer readable medium of claim 9 , wherein connecting each node with the directed edge comprises:
determining that the starting node and the ending node are connected based on spacing information between the starting node and the ending node.
11. The non-transitory computer readable medium of claim 9 , wherein connecting each node with the directed edge comprises:
determining a first completion time for the starting node and a second completion time for the ending node.
12. The non-transitory computer readable medium of claim 9 , wherein analyzing, by the computing system via the predictive model, the effect of the interference event on the well comprises:
converting the graph-based representation of the well into a matrix based representation.
13. The non-transitory computer readable medium of claim 8 , further comprising:
generating, by the computing system, a web page or portal through which a user may view the interference metric.
14. The non-transitory computer readable medium of claim 8 , wherein the interference metric comprises a predicted change in production of a well based on the interference event.
15. A system, comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
receiving, from a client device, a request to generate an interference prediction for an interference event for a well, wherein the interference event is a well completion event corresponding to a target offset well and the interference prediction captures an effect of the well completion event off the target offset well on a production of the well, the request comprising one or more metrics associated with the well;
analyzing, via a predictive model, an effect of the interference event on the well, the analyzing comprising:
determining a relationship of the well to a first plurality of wells co-located with the well, and
for each well of the first plurality of wells, generating a further relationship between the first plurality of wells and a second plurality of wells co-located with the first plurality of wells; and
generating an interference metric based on the one or more metrics associated with the well, the determined relationship of the well with the first plurality of wells co-located with the well, and the determined further relationship between the first plurality of wells and the second plurality of wells co-located with the first plurality of wells.
16. The system of claim 15 , wherein determining the relationship of the well to the first plurality of wells co-located with the well comprises:
generating a graph-based representation of the well and the first plurality of wells, the generating comprising:
generating a node for the well and each of the first plurality of wells co-located with the well, and
connecting each node with a directed edge, wherein the directed edge represents a relationship between a starting node and an ending node.
17. The system of claim 16 , wherein connecting each node with the directed edge comprises:
determining that the starting node and the ending node are connected based on spacing information between the starting node and the ending node.
18. The system of claim 16 , wherein connecting each node with the directed edge comprises:
determining a first completion time for the starting node and a second completion time for the ending node.
19. The system of claim 16 , wherein analyzing, via the predictive model, the effect of the interference event on the well comprises:
converting the graph-based representation of the well into a matrix based representation.
20. The system of claim 15 , wherein the operations further comprise:
generating a web page or portal through which a user may view the interference metric.