Well screen-out prediction and prevention
A method of monitoring an energy industry operation includes: collecting measurement data in real time during an energy industry operation; automatically analyzing the measurement data by a processor, wherein analyzing includes generating a measurement data pattern indicating the values of a parameter as a function of depth or time; automatically comparing the measurement data pattern to a reference data pattern generated based on historical data relating to a previously performed operation having a characteristic common to the operation; predicting whether an undesirable condition will occur during the operation based on the comparison; and based on the processor predicting that the undesirable condition will occur, estimating a time at which the undesirable condition is predicted to occur, and automatically performing a remedial action to prevent the undesirable condition from occurring.
1. A method of monitoring an energy industry operation, comprising:
during the energy industry operation, collecting measurement data in real time from a sensor disposed at at least one of a surface location and a downhole location, the measurement data including values of at least one parameter measured during the operation;
automatically analyzing the measurement data by a processor, wherein analyzing includes generating a measurement data pattern indicating the values of the parameter as a function of depth or time;
automatically comparing the measurement data pattern to a reference data pattern generated based on historical data relating to a previously performed operation having a characteristic common to the operation;
predicting whether an undesirable condition will occur during the operation based on the comparison; and
automatically performing a remedial action to prevent the undesirable condition from occurring.
2. The method of claim 1 , further comprising, based on the processor predicting that the undesirable condition will occur, and estimating a time at which the undesirable condition is predicted to occur.
3. The method of claim 1 , wherein the operation is a stimulation operation, the measurement data pattern includes a pressure profile, and the undesirable condition includes a screen out condition.
4. The method of claim 1 , wherein comparing includes performing a curve fit of the measurement data pattern to the reference data pattern.
5. The method of claim 1 , wherein the performing the remedial action includes presenting operational action changes in order to avoid occurrence of the undesirable.
6. The method of claim 1 , wherein the historical data is from one or more previously performed operations that experienced the undesirable condition, and the reference data pattern includes parameter values measured during a time period leading up to occurrence of the undesirable condition.
7. The method of claim 1 , further comprising collecting the historical data by accessing a database of energy industry operation data, identifying a subset of data associated with one or more operations having the common characteristic, and generating the reference data pattern based on the subset.
8. The method of claim 1 , wherein the reference data pattern includes a curve representing parameter values associated with the previously performed operation during a time period leading up to occurrence of the undesirable condition.
9. The method of claim 1 , wherein analyzing includes identifying a time value associated with a portion of curve that matches the measurement data pattern, determining an amount of time that elapsed between the time value and a time at which the undesirable condition occurred in the previously performed operation, and predicting when the undesirable condition will occur in the operation based on the amount of time.
10. The method of claim 1 , wherein the collecting includes collecting surface measurement data in real time during a stimulation operation from one or more pressure and flow rate monitoring sensors disposed at a surface location, the surface location including at least one of: a location associated with stimulation fluid blending equipment, a location associated with pumping equipment and a location associated with a high pressure injection line.
11. A system for monitoring an energy industry operation, comprising:
a carrier configured to be disposed in a borehole in an earth formation, the carrier including a downhole tool configured to perform an aspect of the operation; and
a processor configured to collect measurement data in real time from a sensor disposed at at least one of a surface location and a downhole location, the measurement data including values of at least one parameter measured during the operation, the processor configured to perform:
during the operation, collecting measurement data in real time from a sensor disposed at at least one of a surface location and a downhole location, the measurement data including values of a parameter measured during the operation;
automatically analyzing the measurement data by a processor, wherein analyzing includes generating a measurement data pattern indicating the values of the parameter as a function of depth or time;
automatically comparing the measurement data pattern to a reference data pattern generated based on historical data relating to a previously performed operation having a characteristic common to the operation;
predicting whether an undesirable condition will occur during the operation based on the comparison; and
automatically performing a remedial action to prevent the undesirable condition from occurring.
12. The system of claim 11 , wherein the processor is further configured to perform, based on the processor predicting that the undesirable condition will occur, estimating a time at which the undesirable condition is predicted to occur.
13. The system of claim 11 , wherein the operation is a stimulation operation, the measurement data pattern includes a pressure profile, and the undesirable condition includes a screen out condition.
14. The system of claim 11 , wherein comparing includes performing a curve fit of the measurement data pattern to the reference data pattern.
15. The system of claim 11 , wherein the parameter is a fluid pressure, and the reference data pattern is a pattern of pressure increase associated with the undesirable condition.
16. The system of claim 11 , wherein the historical data is from one or more previously performed operations that experienced the undesirable condition, and the reference data pattern includes parameter values measured during a time period leading up to occurrence of the undesirable condition.
17. The system of claim 11 , wherein the processor is configured to collect the historical data by accessing a database of energy industry operation data, identifying a subset of data associated with one or more operations having the common characteristic, and generating the reference data pattern based on the subset.
18. The system of claim 11 , wherein the reference data pattern includes a curve representing parameter values associated with the previously performed operation during a time period leading up to occurrence of the undesirable condition.
19. The system of claim 18 , wherein analyzing includes identifying a time value associated with a portion of curve that matches the measurement data pattern, determining an amount of time that elapsed between the time value and a time at which the undesirable condition occurred in the previously performed operation, and predicting when the undesirable condition will occur in the operation based on the amount of time.
20. The system of claim 11 , wherein the remedial action includes automatically adjusting the operation to avoid the undesirable condition.