Method system and program storage device for automatically calculating and displaying time and cost data in a well planning system using a Monte Carlo simulation software

• US 20050209912A1
• Filed: 02/08/2005
• Published: 09/22/2005
• Est. Priority Date: 03/17/2004
• Status: Active Grant

• Current Assignee: Schlumberger Technology Corporation (SLB)
• Original Assignee: Schlumberger Technology Corporation (SLB)
• Inventors: Givens, Kris, Veeningen, Daan, Jeffers, John, Ravichandran, Ganesan
• Granted Patent: US 7,548,873 B2
• Time in Patent Office: Days
• US Class Current: 705/11
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A method of generating and displaying time and cost data representing the time and the cost to complete a plurality of oilfield related activities in response to a set of engineering results including wellbore geometry and drilling parameters comprises the steps of: (a) assembling a plurality of time data and a plurality of cost data based on the engineering results in response to a plurality of activity templates; and (b) generating a display of the time data and the cost data, the display illustrating the time data and the cost data representing the time and the cost to complete the plurality of oilfield related activities. The display includes a numerical display and a graphical display.

Claims

1. A program storage device readable by a machine tangibly embodying a program of instructions executable by the machine to perform method steps for generating and displaying time and cost data representing a time and a cost to complete a plurality of activities in response to a set of engineering results, said method steps comprising:

(a) assembling a plurality of time data and a plurality of cost data associated with a plurality of activities in response to a set of engineering results; and

(b) generating a display of the time and cost data, the display illustrating a set of time data and a set of cost data representing a time and a cost to complete said plurality of activities.

2. The program storage device of claim 1, wherein said engineering results generate a first plurality of subactivities, the assembling step (a) comprises the step of:

(a1) receiving, in a time and cost task, said first plurality of subactivities from said engineering results and generating said first plurality of subactivities and a corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities.

3. The program storage device of claim 2, wherein the receiving and generating step (a1) comprises the steps of:

receiving, in said time and cost task, said first plurality of subactivities from said engineering results;

comparing, in a set of activity templates, said first plurality of subactivities with a second plurality of subactivities stored in said activity templates;

generating, from said activity templates, said corresponding plurality of time and cost data; and

associating said first plurality of subactivities with said corresponding plurality of time and cost data thereby generating said first plurality of subactivities and said corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities.

4. The program storage device of claim 3, wherein said corresponding plurality of time and cost data is selected from a group consisting of:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

5. The program storage device of claim 2, wherein the assembling step (a) further comprises the steps of:

(a2) receiving, from said time and cost task, said first plurality of subactivities and a corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities;

(a3) determining which ones of said first plurality of subactivities received during the receiving step (a2) correlate well with which other ones of said first plurality of subactivities received during the receiving step (a2); and

(a4) in response to the determining step (a3), assimilating at least certain ones of said first plurality of subactivities into at least one primary summary activity, at least one subordinate summary activity underlying said primary summary activity, and at least one subactivity underlying said subordinate summary activity.

6. The program storage device of claim 5, further comprising the step of:

(a5) associating said corresponding plurality of time and cost data with respective ones of said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity assimilated during the assimilating step (a4) thereby generating said at least one primary summary activity and said at least one subordinate summary activity and said at least one subactivity and said corresponding plurality of time and cost data associated with respective ones of said primary summary activity and said subordinate summary activity and said subactivity.

7. The program storage device of claim 6, wherein said corresponding plurality of time and cost data is selected from a group consisting of:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

8. The program storage device of claim 6, wherein the generating step (b) of generating a display of the time and cost data comprises the step of generating a numerical type of display including a first set of probabilistic results, said numerical type of display including said corresponding plurality of time and cost data, said corresponding plurality of time and cost data further including:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

9. The program storage device of claim 6, further comprising the step of:

(a6) determining a p10 position, a p50 position, and a p90 position in connection with said corresponding plurality of time and cost data associated with said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity.

10. The program storage device of claim 9, further comprising the step of:

(a7) plotting a lognormal distribution between said p10 position and said p90 position in connection with each of said corresponding plurality of time and cost data associated with said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity.

11. The program storage device of claim 10, wherein the generating step (b) of generating a display of the time and cost data comprises the step of generating a graphical type of display including a second set of probabilistic results, said graphical display including said lognormal distribution.

12. The program storage device of claim 11, wherein said graphical display includes at least one of:

a time frequency distribution, a time cumulative probability distribution, a cost frequency distribution, and a cost cumulative probability distribution.

13. The program storage device of claim 10, further comprising the step of:

generating a set of correlated results;

back correlating said correlated results from the summary activities to the subactivities; and

generating a data output, said data output including a numerical type of display and a graphical type of display.

14. The program storage device of claim 1, wherein said time data includes clean time data, the assembling step (a) of assembling a plurality of time data and a plurality of cost data associated with a plurality of activities comprises the steps of:

(a1) combining all said clean time data to obtain a total clean time data figure.

15. The program storage device of claim 14, wherein the combining step (a1) further includes the step of:

consulting a correlation matrix to obtain said total clean time data figure.

16. The program storage device of claim 1, wherein said time data includes clean time data and nonproductive time data, a set of correlation factors reflecting a relationship between said clean time data and said nonproductive time data, the assembling step (a) of assembling a plurality of time data and a plurality of cost data associated with a plurality of activities comprises the steps of:

(a1) combining said clean time data and said nonproductive time data and said correlation factors to obtain a total time data figure.

17. The program storage device of claim 16, wherein the combining step (a1) further includes the step of:

consulting a correlation matrix to obtain said total time data figure.

18. A method of generating and displaying time and cost data representing a time and a cost to complete a plurality of activities in response to a set of engineering results, comprising the steps of:

(a) assembling a plurality of time data and a plurality of cost data associated with a plurality of activities in response to a set of engineering results; and

(b) generating a display of the time and cost data, the display illustrating a set of time data and a set of cost data representing a time and a cost to complete said plurality of activities.

19. The method of claim 18, wherein said engineering results generate a first plurality of subactivities, the assembling step (a) comprises the step of:

(a1) receiving, in a time and cost task, said first plurality of subactivities from said engineering results and generating said first plurality of subactivities and a corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities.

20. The method of claim 19, wherein the receiving and generating step (a1) comprises the steps of:

receiving, in said time and cost task, said first plurality of subactivities from said engineering results;

comparing, in a set of activity templates, said first plurality of subactivities with a second plurality of subactivities stored in said activity templates;

generating, from said activity templates, said corresponding plurality of time and cost data; and

associating said first plurality of subactivities with said corresponding plurality of time and cost data thereby generating said first plurality of subactivities and said corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities.

21. The method of claim 20, wherein said corresponding plurality of time and cost data is selected from a group consisting of:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

22. The method of claim 19, wherein the assembling step (a) further comprises the steps of:

(a2) receiving, from said time and cost task, said first plurality of subactivities and a corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities;

(a3) determining which ones of said first plurality of subactivities received during the receiving step (a2) correlate well with which other ones of said first plurality of subactivities received during the receiving step (a2); and

(a4) in response to the determining step (a3), assimilating at least certain ones of said first plurality of subactivities into at least one primary summary activity, at least one subordinate summary activity underlying said primary summary activity, and at least one subactivity underlying said subordinate summary activity.

23. The method of claim 22, further comprising the step of:

(a5) associating said corresponding plurality of time and cost data with respective ones of said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity assimilated during the assimilating step (a4) thereby generating said at least one primary summary activity and said at least one subordinate summary activity and said at least one subactivity and said corresponding plurality of time and cost data associated with respective ones of said primary summary activity and said subordinate summary activity and said subactivity.

24. The method of claim 23, wherein said corresponding plurality of time and cost data is selected from a group consisting of:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

25. The method of claim 23, wherein the generating step (b) of generating a display of the time and cost data comprises the step of generating a numerical type of display including a first set of probabilistic results, said numerical type of display including said corresponding plurality of time and cost data, said corresponding plurality of time and cost data further including:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

26. The method of claim 23, further comprising the step of:

(a6) determining a p10 position, a p50 position, and a p90 position in connection with said corresponding plurality of time and cost data associated with said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity.

27. The method of claim 26, further comprising the step of:

(a7) plotting a lognormal distribution between said p10 position and said p90 position in connection with each of said corresponding plurality of time and cost data associated with said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity.

28. The method of claim 27, wherein the generating step (b) of generating a display of the time and cost data comprises the step of generating a graphical type of display including a second set of probabilistic results, said graphical display including said lognormal distribution.

29. The method of claim 28, wherein said graphical display includes at least one of:

a time frequency distribution, a time cumulative probability distribution, a cost frequency distribution, and a cost cumulative probability distribution.

30. The method of claim 27, further comprising the step of:

generating a set of correlated results;

back correlating said correlated results from the summary activities to the subactivities; and

generating a data output, said data output including a numerical type of display and a graphical type of display.

31. The method of claim 18, wherein said time data includes clean time data, the assembling step (a) of assembling a plurality of time data and a plurality of cost data associated with a plurality of activities comprises the steps of:

(a1) combining all said clean time data to obtain a total clean time data figure.

32. The method of claim 31, wherein the combining step (a1) further includes the step of:

consulting a correlation matrix to obtain said total clean time data figure.

33. The method of claim 18, wherein said time data includes clean time data and nonproductive time data, a set of correlation factors reflecting a relationship between said clean time data and said nonproductive time data, the assembling step (a) of assembling a plurality of time data and a plurality of cost data associated with a plurality of activities comprises the steps of:

(a1) combining said clean time data and said nonproductive time data and said correlation factors to obtain a total time data figure.

34. The method of claim 33, wherein the combining step (a1) further includes the step of:

consulting a correlation matrix to obtain said total time data figure.

35. A system for generating and displaying time and cost data representing a time and a cost to complete a plurality of activities in response to a set of engineering results, comprising:

first apparatus adapted for assembling a plurality of time data and a plurality of cost data associated with a plurality of activities in response to a set of engineering results; and

second apparatus adapted for generating a display of the time and cost data, the display illustrating a set of time data and a set of cost data representing a time and a cost to complete said plurality of activities.

36. The system of claim 35, wherein said engineering results generate a first plurality of subactivities, the first apparatus comprising:

time and cost apparatus adapted for receiving said first plurality of subactivities from said engineering results and generating said first plurality of subactivities and a corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities.

37. The system of claim 36, wherein the time and cost apparatus comprises:

apparatus adapted for receiving said first plurality of subactivities from said engineering results;

apparatus adapted for comparing, in a set of activity templates, said first plurality of subactivities with a second plurality of subactivities stored in said activity templates;

apparatus adapted for generating, from said activity templates, said corresponding plurality of time and cost data; and

apparatus adapted for associating said first plurality of subactivities with said corresponding plurality of time and cost data thereby generating said first plurality of subactivities and said corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities.

38. The system of claim 37, wherein said corresponding plurality of time and cost data is selected from a group consisting of:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

39. The system of claim 36, wherein the first apparatus further comprises:

apparatus adapted for receiving, from said time and cost apparatus, said first plurality of subactivities and a corresponding plurality of time and cost data associated, respectively, with said first plurality of subactivities;

apparatus adapted for determining which ones of said first plurality of subactivities correlate well with which other ones of said first plurality of subactivities; and

apparatus adapted for assimilating at least certain ones of said first plurality of subactivities into at least one primary summary activity, at least one subordinate summary activity underlying said primary summary activity, and at least one subactivity underlying said subordinate summary activity.

40. The system of claim 39, wherein the first apparatus further comprises:

apparatus adapted for associating said corresponding plurality of time and cost data with respective ones of said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity thereby generating said at least one primary summary activity and said at least one subordinate summary activity and said at least one subactivity and said corresponding plurality of time and cost data associated with respective ones of said primary summary activity and said subordinate summary activity and said subactivity.

41. The system of claim 40, wherein said corresponding plurality of time and cost data is selected from a group consisting of:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

42. The system of claim 40, wherein the second apparatus adapted for generating a display of the time and cost data comprises generating a numerical type of display including a first set of probabilistic results, said numerical type of display including said corresponding plurality of time and cost data, said corresponding plurality of time and cost data further including:

a ‘

p10’

clean time data figure, a ‘

p10’

clean cost data figure, a ‘

p10’

nonproductive time data figure, a ‘

p10’

nonproductive cost data figure, a ‘

p50’

clean time data figure, a ‘

p50’

clean cost data figure, a ‘

p50’

nonproductive time data figure, a ‘

p50’

nonproductive cost data figure, a ‘

p90’

clean time data figure, a ‘

p90’

clean cost data figure, a ‘

p90’

nonproductive time data figure, and a ‘

p90’

nonproductive cost data figure.

43. The system of claim 40, wherein the first apparatus further comprises:

apparatus adapted for determining a p10 position, a p50 position, and a p90 position in connection with said corresponding plurality of time and cost data associated with said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity.

44. The system of claim 43, wherein the first apparatus further comprises:

apparatus adapted for plotting a lognormal distribution between said p10 position and said p90 position in connection with each of said corresponding plurality of time and cost data associated with said at least one primary summary activity, said at least one subordinate summary activity, and said at least one subactivity.

45. The system of claim 44, wherein the second apparatus adapted for generating a display of the time and cost data comprises the step of generating a graphical type of display including a second set of probabilistic results, said graphical display including said lognormal distribution.

46. The system of claim 45, wherein said graphical display includes at least one of:

a time frequency distribution, a time cumulative probability distribution, a cost frequency distribution, and a cost cumulative probability distribution.

47. The system of claim 44, wherein the first apparatus further comprises:

apparatus adapted for generating a set of correlated results;

apparatus adapted for back correlating said correlated results from the summary activities to the subactivities; and

apparatus adapted for generating a data output, said data output including a numerical type of display and a graphical type of display.

48. The system of claim 35, wherein said time data includes clean time data, the assembling step (a) of assembling a plurality of time data and a plurality of cost data associated with a plurality of activities comprises the steps of:

(a1) combining all said clean time data to obtain a total clean time data figure.

49. The system of claim 48, wherein the combining step (a1) further includes the step of:

consulting a correlation matrix to obtain said total clean time data figure.

50. The system of claim 35, wherein said time data includes clean time data and nonproductive time data, a set of correlation factors reflecting a relationship between said clean time data and said nonproductive time data, the assembling step (a) of assembling a plurality of time data and a plurality of cost data associated with a plurality of activities comprises the steps of:

(a1) combining said clean time data and said nonproductive time data and said correlation factors to obtain a total time data figure.

51. The system of claim 50, wherein the combining step (a1) further includes the step of:

consulting a correlation matrix to obtain said total time data figure.

52. A method of well planning, comprising the step of:

implementing and practicing features adapted for well planning, the implementing and practicing step being selected from a group consisting of;

implementing and practicing a risk assessment feature, implementing and practicing a bit selection feature, implementing and practicing a drillstring design feature, implementing and practicing a workflow control feature, and implementing and practicing a monte carlo feature.

53. A program storage device readable by a machine tangibly embodying a program of instructions executable by the machine to perform a method step for well planning, said method step comprising:

implementing and practicing features adapted for well planning, the implementing and practicing step being selected from a group consisting of;

implementing and practicing a risk assessment feature, implementing and practicing a bit selection feature, implementing and practicing a drillstring design feature, implementing and practicing a workflow control feature, and implementing and practicing a monte carlo feature.

54. A system adapted for well planning, comprising:

apparatus adapted for implementing and practicing features associated with well planning, the well planning features being selected from a group consisting of;

a risk assessment feature, a bit selection feature, a drillstring design feature, a workflow control feature, and a monte carlo feature.