Method for optimization of drilling costs

• US 4,845,628 A
• Filed: 08/18/1986
• Issued: 07/04/1989
• Est. Priority Date: 08/18/1986
• Status: Expired due to Fees

• Current Assignee: Automated Decisions Incorporated
• Original Assignee: Automated Decisions Incorporated
• Inventors: Gray, Richard L., Cambridge, Vivien J.
• Primary Examiner(s): Smith, Jerry
• Assistant Examiner(s): Tbui, Kimthanh
• Application Number:
  US06/897,769
• Time in Patent Office: 1,051 Days
• Field of Search: 364/420, 73/150, 73/151, 73/151.5, 175/39, 175/40, 175/45
• US Class Current: 702/9
• CPC Class Codes: E21B 2200/22 Fuzzy logic, artificial intelligence, neural networks or the like
• CPC Class Codes: E21B 44/00 Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

Disclosed is a real-time method for minimizing the expected, controllable unit cost over a future drilling interval by simulating the values of selected operating variables and lithologies.

Claims

1. A real-time method for controlling a drilling process to optimize drilling costs on a real-time basis for a drilling operation in progress using a drill bit in a borehole comprising the steps of:

(a) acquiring values of a plurality of real-time drilling operation variables and an actual penetration rate for the drill bit from sensors;

(b) storing the plurality of acquired values of real-time drilling operating variables and the actual penetration rate for the drill bit in the borehole;

(c) calculating at predetermined intervals, a plurality of values of real-time parameters of a real-time, multivariate, predictive, penetration rate model, having real-time operating variables associated with the drilling process, each parameter associated with one of the real-time drilling operating variables of the model wherein the parameters measure the sensitivity of the penetration rate of the drill bit in the borehole to each of the operating variables of the model;

(d) calculating at predetermined intervals, real-time expressions of the penetration rate of the drill bit in the borehole using the real-time operating variables in the model and the calculated values of the real-time parameters;

(e) calculating a total, expected controllable cost over a future drilling interval of depth using a predictive penetration rate expression and calculating an expected penetration rate over the future drilling interval of depth;

(f) recalculating real-time expressions for the penetration rate using altered values of operating variables and parameters;

(g) recalculating total, expected controllable costs over the future drilling interval of depth using the recalculated real-time expressions for the penetration rate of the drill bit in the borehole; and

(h) controlling the drilling process by identifying the minimum total expected controllable cost over the future drilling interval of depth and setting the values of the real-time drilling operating variables equal to the values of the real-time drilling operating variables in the real-time expression for the penetration rate used to calculate the minimum total expected controllable cost.

2. The method of claim 1 and further including the step of:

displaying the expected costs calculated in step (g) to an operator.

3. The method of claim 1 and further including the step of:

comparing previously calculated values of the penetration rates of the drill bit at a selected depths to the actual penetration rates acquired from the sensors at the same selected depths to calculate a value that quantifies the predictive ability of the penetration rate model.

4. The method of claim 3 wherein the step of quantifying includes:

calculating the square root of the sum of the differences between the actual penetration rates and the expected penetration rates over a future drilling interval of depth; and

dividing the square root term by the difference between a total number of acquired penetration rates and a minimum number of rates required to establish the predicted penetration rate.

5. The method of claim 3 and further including the step of:

quantifying a contribution of each variable in a penetration rate model to the predictive ability of the model.

6. The method of claim 5 wherein the step of quantifying includes:

sequentially incorporating variables in the penetration rate model;

calculating a predictive statistic based on a specified interval; and

calculating the difference between a predictive statistic calculated following the addition of a given variable to the penetration rate model and a predictive statistic obtained prior to the inclusion of the variable in the penetration rate model, said difference term representing the contribution of the variable to the predictive ability of the penetration rate model.

7. The method of claim 5 and further including the steps of:

ranking variables on the basis of their contributions to the predictive ability of a penetration rate model; and

calculating a predictive statistic for each version of a predictive penetration rate model based on the sequential inclusion of each prospective variable.

8. The method of claim 7 and further including the step of:

identifying the predictive penetration rate model among different predictive penetration rate models having the best predictive ability.

9. The method of claim 8 wherein the identification includes the steps of:

comparing the predictive statistic of each penetration rate model as computed with the same real-time drilling operating variables; and

selecting the model having the best predictive statistic based on the specified interval.

10. The method of claim 1 wherein one or more of the parameters in step (c) are calculated using transition point analysis by identifying successive data points where operating variables change and generate changes in the penetration rate of the bit.

11. The method of claim 10 and further including the step of:

quantifying the sensitivity of the penetration rate to the operating variables by performing transition point analysis and regression analysis.

12. The method of claim 1 wherein one or more of the parameters in step (c) are calculated using regression analysis techniques.

13. The method of claim 1 and further including:

repeating step (c) through step h in an iterative fashion by incrementing or decrementing values of selected real-time drilling operating variables, selected real-time parameters and model coefficients.

14. The method of claim 1 wherein step (a) includes acquiring values of weight of the drill bit, drill bit type and size, drill bit rotary speed, drill bit hydraulics, fractional bit wear, formation pore pressure, drilling fluid, circulating density, the total interval drilled by the bit, and selected seismic data.

15. The method of claim 1 wherein step (c) further includes:

calculating real-time parameter values associated with real-time operating variables when more than one of the operating variables change at successive intervals coinciding with a penetration rate change.

16. The method of claim 15 wherein the step of calculating the parameter values includes:

normalizing the real-time expression of the penetration rate based upon one of the plurality of real-time drilling operating variables prior to calculating a parameter for the desired variable.

17. The method of claim 1 wherein step (c) further includes:

calculating the sensitivity of the penetration rate of a drill bit to lithology changes.

18. The method of claim 17 and further including the step of:

smoothing the effects of lithology fluctuations on the penetration rate of a drill bit by computing average values of parameters.

19. The method of claim 17 and further including the step of:

smoothing the effects of lithology fluctuations on the penetration rate of a drill bit by computing average values of operating variables.

20. The method of claim 1 and further including the step of:

calculating the abrasiveness of a subsurface formation by dividing the time required to drill the formation by selected real-time operating variables and drill bit constants.

21. The method of claim 1 wherein step (d) includes:

estimating future values of the penetration rate of a drill bit by extrapolating a real-time penetration rate over a future drilling interval of depth.

22. The method of claim 1 wherein step (e) further includes the step of calculating the total interval of depth the current bit in the borehole can drill before reaching a specified degree of wear.

23. The method of claim 22 and further including the step of:

calculating a real-time, predictive penetration rate expression based on a bit wear variable whose value represents selected degrees of wear.

24. The method of claim 22 and further including the step of:

computing the future drilling interval of depth to a specified degree of drill bit wear for the drill bit currently in the borehole.

25. The method of claim 1 wherein step (e) further includes the step of calculating the total time the current drill bit in the borehole can drill before reaching a specified degree of water, and calculating the remaining time of the total time calculated to the specified degree of bit wear.

26. The method of claim 1 and further including the step of:

identifying abnormally pressured subsurface formations in the absence of direct pore pressure measurements.

27. The method of claim 1 wherein step (e) further includes the step of:

estimating a bit depreciation function as a drill bit is used in a drilling operation.

28. The method of claim 1 wherein step (e) further includes the step of:

estimating the expected, controllable unit drilling cost over the future drilling interval of depth by allocating said controllable costs in a manner best approximating the change in value of the controllable costs.