Optimizing running operations

1. A system for optimizing a running operation, comprising:

an interface to equipment and sensors for performing the running operation, wherein the interface supplies control signals to the equipment and obtains measurement signals from the sensors;

at least one short-term optimizer module that derives a current job state based at least in part on the measurement signals, and that further adjusts the control signals to optimize a short-term cost function, the short-term cost function comprising:

short-term risks and short-term rewards; and

a difference between the current job state and a desired job state derived from optimized values of a set of decision variables; and

a long-term optimizer module, coupled to the at least one short-term optimizer module, that determines the optimized values based on a long-term cost function, the long-term cost function comprising long-term risks and long-term rewards and accounting for at least a long-term reward and a final state cost, wherein:

the control signals control running operations equipment;

the short term-risks are promoted to long-term risks when the short-term risks persist over a threshold time period; and

the short-term rewards and risks and the long-term rewards and risk comprise non-financial rewards and risks.

2. The system of claim 1 , wherein the short-term optimizer module derives the current job state based on the measurement signals and the control signals.

3. The system of claim 1 , wherein deriving the current job state is performed with an adaptive system model.

4. The system of claim 1 , wherein the system allocates portions of risk between the short-term cost function and the long-term cost function based on dynamic variability of the portions.

5. The system of claim 1 , wherein the running operation comprises a drilling operation.

6. The system of claim 5 , wherein the short-term reward is selected from the group consisting of weight-on-bit and drillstring rotations-per-minute.

7. The system of claim 5 , wherein the short-term risk is created by the current job state comprising a region of vibration.

8. The system of claim 5 , wherein the long-term reward is selected from the group consisting of total length drilled, maximum dogleg severity, and rate of penetration.

9. The system of claim 1 , wherein the running operation comprises a logging operation.

10. The system of claim 9 , wherein the short-term risk is created by the current job state selected from the group consisting of increased measurement noise and biased measurements.

11. The system of claim 9 , wherein the long-term risk is selected from the group consisting of inaccurate formation model and inaccurate reservoir model.

12. The system of claim 9 , wherein the long-term reward is selected from the group consisting of increased logging speed and increased logging resolution.

13. The system of claim 1 , wherein the running operation comprises a hydraulic workover operation.

14. The system of claim 13 , wherein the short-term reward comprises an increased hydraulic workover pipe insertion speed.

15. The system of claim 13 , wherein the short-term risk is created by the current job state comprising pressure release.

16. The system of claim 13 , wherein the long-term risk comprises an incorrect hydraulic workover pipe location.

17. A running operation optimization method, comprising:

Analyzing, by a long-term optimizer module, a formation-based model to determine optimized values for a set of decision variables subject to a long-term cost function comprising at least a long-term reward, long-term reward, and a final state cost;

deriving a desired job state from the optimized values;

obtaining measurement signals from an interface to equipment and sensors for performing the running operation;

deriving a current job state based at least in part on the measurement signals; and

providing, to the interface, control signals that optimize a short-term cost function, by at least one short-term optimizer module coupled to the long-term optimizer module, the short-term cost function comprising:

short-term risks and short-term rewards; and

a difference between the current job state and the desired job state, wherein:

the control signals control running operations equipment;

the short-term risks are promoted to long-term risks when the short-term risks persist over a threshold time period; and

the short-term rewards and risks and the long-term rewards and risk comprise both non-financial and financial rewards and risks.

18. The method of claim 17 , wherein the running operation comprises a drilling operation, the control signals controlling a trajectory of a bottomhole assembly.

19. The method of claim 17 , wherein the running operation comprises a logging operation, the control signals controlling one or more portions of the logging operation selected from the group consisting of selection of logging tool and speed of logging tool.

20. The method of claim 17 , wherein the running operation comprises a hydraulic workover operation, the control signals controlling one or more portions of the hydraulic workover operation selected from the group consisting of force of hydraulic workover pipe insertion, speed of hydraulic workover pipe insertion, type of hydraulic workover pipe, composition of hydraulic workover pipe, and diameter of hydraulic workover pipe.