Systems and methods for workflow to perform well logging operations tracking and efficiency assessment

1. A method of well logging operations, the method comprising:

receiving, using one or more processors, data identifying parameters for an event related to a downhole well;

identifying a classification for the event from a hierarchical taxonomy of well operation classifications of events, based at least in part on the data identifying the parameters;

comparing the data identifying the parameters for the event to historic data related to a plurality of events identified with the classification to determine one or more performance parameters for the event; and

in response to the one or more performance parameters exceeding a threshold identifying a target performance, identifying at least one of a quality incident or influence factor related to the one or more performance parameters exceeding the threshold.

2. The method of claim 1 , further comprising:

displaying, on an electronic display, a graphical representation of composite well log signatures, and

receiving input to at least one of place, move, or delete an event on the graphical representation of composite well log signatures.

3. The method of claim 1 , further comprising:

displaying, on an electronic display, a graphical representation of the hierarchical taxonomy for selection of the classification, and

receiving an indication of the classification from the electronic display.

4. The method of claim 1 , wherein the hierarchical taxonomy includes a tree of events, and wherein only terminal nodes may be selectable as the classification.

5. The method of claim 1 , wherein identifying at least one of a quality incident or influence factor related further comprises determining a probability that the influence factor is a cause for the one or more performance parameters exceeding the threshold identifying the target performance, and in response to the probability exceeding a probability threshold, identifying the influence factor.

6. The method of claim 1 , wherein receiving data identifying parameters for the event related to the downhole well, includes receiving at least one of logging job parameters, drilling parameters, or high resolution logging data.

7. The method of claim 6 , wherein receiving the data further comprises receiving the data from a well tool or surface acquisition sensor.

8. The method of claim 1 , further comprising identifying the classification from a plurality of classifications of the hierarchical taxonomy based on a weighted model configured to select the classification based on at least one of the data identifying parameter or a historical record of parameters related to past events.

9. The method of claim 1 , further comprising, displaying, on an electronic display, a graph of selected parameters of the parameters for an even and graphical representations of events associated with parameters at points along the graph.

10. The method of claim 1 , further comprising predicting improvements to the event based on the data identifying the parameters and sending a notification of the improvements to at least one party.

11. The method of claim 1 , further comprising lowering at least one well tool into the downhole well, and wherein the data identifying the parameters includes well survey data recorded by the at least one well tool.

12. The method of claim 1 , further comprising collecting the historic data; and developing of automatic well logging operations events recognition models based on the historic data.

13. A system comprising:

one or more processors; and

one or more memory modules comprising non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to:

receive data identifying parameters for an event related to a downhole well;

identify a classification for the event from a hierarchical taxonomy of well operation classifications of events, based at least in part on the data identifying the parameters;

compare the data identifying the parameters for the event to historic data related to a plurality of events identified with the classification to determine one or more performance parameters for the event; and

in response to the one or more performance parameters exceeding a threshold identifying a target performance, identify at least one of a quality incident or influence factor related to the one or more performance parameters exceeding the threshold.

14. The system of claim 13 , wherein the hierarchical taxonomy includes a tree structure, and wherein terminal nodes of the tree structure are identifiable as the classification.

15. The system of claim 14 , wherein the tree structure includes a plurality of nodes related to unintended events.

16. The system of claim 15 , wherein the computer-readable instructions further cause the one or more processors to identify an unintended event from the plurality related to unintended events based on the data identifying parameters for the event.

17. The system of claim 13 , wherein the computer-readable instructions further cause the one or more processors to

identify the quality incident based on determining a deviation of a time period for the event exceeds a threshold deviation from a benchmark associated with past events having the classification; and

determine the benchmark associated with the past events based on a calculated metric of time periods for the past events.

18. A system comprising:

one or more processors; and

one or more memory modules comprising non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to:

receive data identifying parameters for an event related to a downhole well;

displaying, on an electronic display, a graphical representation of a hierarchical taxonomy for selection of a selected classification for the event, wherein the hierarchical taxonomy includes a plurality of classifications of well operation;

receiving input identifying the selected classification for the event;

compare the data identifying the parameters for the event to historic data related to a plurality of events identified with the selected classification to determine one or more performance parameters for the event; and

in response to the one or more performance parameters exceeding a threshold identifying a target performance, identify at least one of a quality incident or influence factor related to the one or more performance parameters exceeding the threshold.

19. The system of claim 18 , wherein one or more performance parameters includes a temporal parameter, and wherein the one or more influence factor includes at least one of equipment associated with the event, personnel associated with the event, location associated with the event, a rig identifier associated with the event, season associated with the event, or weather associated with the event.

20. The system of claim 18 , wherein the computer-readable instructions further cause the one or more processors to identify a selected influence factor from the one or more influence factor as a candidate cause for the performance parameters exceeding the threshold.

21. The system of claim 19 , wherein the selected influence factor is selected based on calculating a probability that the selected influence factor is the most likely cause.