Granted Patent B2

US 12,196,074 · App. 17/761,720 · Granted Jan 14, 2025

Inventor: Pradyumna Thiruvenkatanathan (London, GB)

Assignee: LYTT LIMITED

E21B47/107E21B47/135E21B47/14E21B49/008E21B2200/20

Abstract

Claims (89)

1. A method of developing a predictive model for sand production from a wellbore, the method comprising:

receiving an indication of sand ingress at one or more production zones within a first wellbore using a sand monitoring system disposed within the first wellbore, wherein the sand ingress occurs while producing one or more fluids from the first wellbore;

detecting, using a pressure monitoring system, a pressure within the first wellbore while producing the one or more fluids and detecting the sand ingress;

determining one or more geophysical properties of the one or more production zones of the first wellbore; and

determining a model that correlates sand ingress at each of the one or more production zones with a plurality of variables, wherein the plurality of variables includes at least one of: a) a rate of change of the pressure within the first wellbore, a flux of the one or more fluids through the production face of the wellbore, or an acceleration of the one or more fluids between a reservoir and an interior of the wellbore at the production face of the wellbore, and at least one of b) a production rate of the one or more fluids from the first wellbore, a pressure within the first wellbore, or one or more of the geophysical properties of the first wellbore.

2. The method of claim 1 , comprising:

identifying a production zone in a second wellbore as being one of the one or more production zones of the first wellbore;

determine a pressure within the second wellbore and one or more geophysical properties of the production zone in the second wellbore; and

predicting, using the model, sand ingress within the production zone in the second wellbore.

3. The method of claim 2 , wherein the second wellbore extends within a same reservoir as the first wellbore.

4. The method of claim 2 , comprising controlling a production rate of the one or more fluids from the second wellbore using the model.

5. The method of claim 4 , wherein controlling the production rate of the one or more fluids comprises producing the one or more fluids at a maximum production rate while remaining below a sand ingress threshold rate as predicted by the model.

6. The method of claim 2 , comprising:

detecting sand ingress at one or more production zones within a third wellbore using a second sand monitoring system disposed within the third wellbore;

detecting, using a second pressure monitoring system, a pressure within the third wellbore while producing the one or more fluids and detecting the sand ingress;

determining one or more geophysical properties of the one or more production zones of the third wellbore;

updating the model based on the sand ingress, pressure, and one or more geophysical properties of the third wellbore; and

predicting, using the updated model, sand ingress within the production zone in the second wellbore.

7. The method of claim 2 , comprising:

detecting sand production from the second wellbore;

correlating the sand production from the second wellbore with the predicted sand ingress in the second wellbore; and

updating the model when the sand production varies from the predicted sand ingress by more than a variance threshold.

8. The method of claim 1 , wherein the one or more geophysical properties comprise porosity, permeability, a measure of a consolidation of a formation material, a type of the formation material, or any combination thereof.

9. The method of claim 1 , wherein the model is a logistical regression model.

10. The method of claim 1 , wherein detecting the sand ingress at the one or more productions zones within the first wellbore comprises:

detecting an acoustic signal along the wellbore using the sand monitoring system, wherein the sand monitoring system comprises a fiber optic cable disposed within the wellbore;

comparing a sand ingress signature with the acoustic signal at each of the one or more production zones; and

detecting the sand ingress at the one or more production zones within the first wellbore based on the comparison of the sand ingress signature with the acoustic signal.

11. A system for operating a wellbore, the system comprising:

a memory storing an analysis program; and

a processor configured to execute the analysis program to:

receive, from a monitoring assembly, a sensor signal, wherein the sensor signal is generated while producing one or more fluids from at least one production zone within a first wellbore, wherein the monitoring assembly is configured to detect one or more values related to the first wellbore, wherein the first wellbore comprises the at least one production zone capable of producing one or more fluids;

receive, from the monitoring assembly, an indication of the pressure within at least one production zone of the at least one production zone in the first wellbore;

receive an indication of sand ingress into the first wellbore using the sensor signal;

receive one or more geophysical properties for the at least one production zone; and

determine a model that correlates sand ingress at the at least one production zone with a plurality of variables, wherein the plurality of variables includes

at least one of: a) a rate of change of the pressure within the first wellbore, a flux of the one or more fluids through the production face of the wellbore, or an acceleration of the one or more fluids between a reservoir and an interior of the wellbore at the production face of the wellbore, and

at least one of b) a production rate of the one or more fluids from the first wellbore, a pressure within the first wellbore, or the one or more of the geophysical properties of the at least one production zone.

12. The system of claim 11 , wherein the monitoring assembly comprises:

a sand monitoring system disposed within a first wellbore; and

a pressure monitoring system configured to detect a pressure within the first wellbore.

13. The system of claim 12 , wherein the sand monitoring system comprises:

a fiber optic cable disposed in the first wellbore; and

a receiver in signal communication with the fiber optical cable, wherein the sensor signal comprises an acoustic signal, and wherein the receiver is configured to use a light pulse to detect an acoustic signal within the first wellbore along the length of the fiber optic cable;

wherein the processor is configured to detect the sand ingress, the sand transport, or both by executing the analysis program to:

detect the acoustic signal using the fiber optic cable disposed within the first wellbore;

compare a sand ingress signature with the acoustic signal to produce a first output;

compare a sand flow signature with the acoustic signal to produce a second output; and

detect the sand ingress based on the first output and the second output.

14. The system of claim 11 , wherein the processor is further configured to execute the analysis program to:

receive pressure information and one or more geophysical properties for a production zone in a second wellbore; and

predict, using the model, sand ingress into the production zone in the second wellbore based on the pressure information and the one or more geophysical properties.

15. The system of claim 14 , wherein the processor is further configured to execute the analysis program to:

receive production rate information for the second wellbore,

wherein the prediction of the sand ingress is further based on the production rate information.

16. The system of claim 14 , wherein the second wellbore extends into a same reservoir as the first wellbore.

17. The system of claim 11 , wherein the model is a logistical regression model.

18. The system of claim 11 , wherein the processor is further configured to execute the analysis program to:

generate a control signal configured to increase a production rate of the one or more fluids;

monitor the sand ingress into the first wellbore; and

control the production rate of the one or more fluids while retaining the sand ingress below a sand ingress threshold rate.

19. A method of predicting sand production from a wellbore, the method comprising:

detecting a production rate of one or more fluids from at least one production zone within a first wellbore;

detecting, using a pressure monitoring system, a pressure within the first wellbore while producing the one or more fluids from at least one production zone within the first wellbore;

determining one or more geophysical properties of the at least one production zone of the first wellbore; and

predicting, using a sand prediction model, sand ingress within the at least one production zone in the first wellbore,

wherein the sand prediction model correlates sand ingress at the at least one production zone with a plurality of variables, wherein the plurality of variables includes: at least one of: a)

a rate of change of the pressure within the first wellbore,

a flux of the one or more fluids through the production face of the at least one production zone of the first wellbore, or

an acceleration of the one or more fluids between a reservoir and an interior of the wellbore at the production face of the at least one production zone of the first wellbore,

and at least one of: b) a production rate of the one or more fluids from the first wellbore, a pressure within the first wellbore, or one or more of the geophysical properties of the at least one production zone of the first wellbore; and

wherein the sand prediction model is based on at least:

sand ingress detected in a second wellbore having one or more production zones,

a detected pressure within the one or more production zones of the second wellbore, and

one or more geophysical properties of the second wellbore.

20. The method of claim 19 , comprising operating the first wellbore at or below a maximum production rate, wherein the maximum production rate is a production rate from at least one production zone within the first wellbore at which the sand ingress is at or below a threshold sand ingress rate.

21. The method of claim 19 , wherein the one or more geophysical properties comprise porosity, permeability, a measure of a consolidation of a formation material, a type of the formation material, or any combination thereof.

22. The method of claim 19 , wherein the model is a logistical regression model.

23. The method of claim 19 , wherein the first wellbore extends into a same reservoir as the second wellbore.

24. The method of claim 19 , comprising controlling a production rate of the one or more fluids from the first wellbore using the sand prediction model.

25. The method of claim 24 , wherein controlling the production rate of the one or more fluids comprises producing the one or more fluids at a maximum production rate while remaining below a sand ingress threshold rate as predicted by the sand prediction model.

26. The method of claim 19 , comprising detecting, using a sand monitoring system disposed in the first wellbore, sand ingress within the at least one production zone in the first wellbore.

27. The method of claim 26 , wherein detecting the sand ingress comprises:

detecting an acoustic signal along the first wellbore using the sand monitoring system, wherein the sand monitoring system comprises a fiber optic cable disposed within the first wellbore;

comparing a sand ingress signature with the acoustic signal at the at least one production zone; and

detecting the sand ingress at the at least one production zone within the first wellbore based on the comparison of the sand ingress signature with the acoustic signal.

28. The method of claim 26 , comprising:

comparing the detected sand ingress with the predicted sand ingress; and

updating the sand prediction model when the detected sand ingress varies from the predicted sand ingress exceeds a variance threshold.

Assignments (1)

Continuity (1)

References Cited (400)

Cited By (1)

US 12,493,805