US2024035362A1PendingUtilityA1

Closed loop monitoring and control of a chemical injection system

Assignee: HE ZHI YONGPriority: Jul 28, 2022Filed: Jul 28, 2022Published: Feb 1, 2024
Est. expiryJul 28, 2042(~16 yrs left)· nominal 20-yr term from priority
E21B 43/12E21B 49/008E21B 41/02E21B 47/10E21B 47/11E21B 43/00E21B 43/267E21B 43/24E21B 43/20E21B 33/13E21B 34/06E21B 2200/22E21B 2200/20
45
PatentIndex Score
0
Cited by
0
References
0
Claims

Abstract

An example method includes implementing a flow control device at an injection point downhole in a borehole of a wellbore operation to collect flow rate data of a fluid injected into the borehole. The method further includes collecting the flow rate data using a flow sensor disposed in the flow control device. The method further includes controlling a chemical injection system based at least in part on the flow rate data.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method comprising:
 implementing a flow control device at an injection point downhole in a borehole of a wellbore operation to collect flow rate data of a fluid injected into the borehole;   collecting the flow rate data using a flow sensor disposed in the flow control device; and   controlling a chemical injection system based at least in part on the flow rate data.   
     
     
         2 . The method of  claim 1 , wherein controlling the chemical injection system comprises determining a difference between an expected flow rate and an actual flow rate, the expected flow rate being a flow rate provided by the chemical injection system, and the actual flow rate being a flow rate at an injection point as determined by the flow rate data. 
     
     
         3 . The method of  claim 2 , wherein controlling the chemical injection system comprises adjusting the flow rate provided by the chemical injection system responsive the difference satisfying a threshold. 
     
     
         4 . The method of  claim 1 , wherein the chemical injection system is controlled based at least in part on a machine learning model. 
     
     
         5 . The method of  claim 4 , wherein the machine learning model is a decision tree. 
     
     
         6 . The method of  claim 1 , wherein the chemical injection system is controlled based at least in part on a state estimator. 
     
     
         7 . The method of  claim 1 , further comprising injecting, using the chemical injection system, the fluid downhole in the borehole. 
     
     
         8 . A system comprising:
 a flow control device disposed in a borehole of a wellbore operation, the flow control device comprising a flow sensor;   a chemical injection system to inject a fluid downhole in the borehole; and   a processing system for executing computer readable instructions, the computer readable instructions controlling the processing system to perform operations comprising:
 receiving, from the flow sensor, flow rate data indicating a flow rate of the fluid into the borehole; and 
 controlling the chemical injection system based at least in part on the flow rate data. 
   
     
     
         9 . The system of  claim 8 , wherein controlling the chemical injection system comprises determining a difference between an expected flow rate and an actual flow rate, the expected flow rate being a flow rate provided by the chemical injection system, and the actual flow rate being a flow rate at an injection point as determined by the flow rate data. 
     
     
         10 . The system of  claim 9 , wherein controlling the chemical injection system comprises adjusting the flow rate provided by the chemical injection system responsive the difference satisfying a threshold. 
     
     
         11 . The system of  claim 8 , wherein the chemical injection system is controlled based at least in part on a machine learning model. 
     
     
         12 . The system of  claim 11 , wherein the machine learning model is a decision tree. 
     
     
         13 . The system of  claim 8 , wherein the chemical injection system is controlled based at least in part on a state estimator. 
     
     
         14 . The system of  claim 8 , wherein the flow control device is a first flow control device, wherein the flow sensor is a first flow sensor, and wherein the flow rate data is first flow rate data, the system further comprising:
 a second flow control device disposed in the borehole, the second flow control device comprising a second flow sensor to collect second flow rate data.   
     
     
         15 . The system of  claim 14 , wherein controlling the chemical injection system is system based at least in part on the first flow rate data and the second flow rate data. 
     
     
         16 . A method comprising:
 injecting, using a chemical injection system, a chemical downhole in a borehole of a wellbore operation;   collecting, using a flow sensor, flow rate data indicating a rate of flow of the chemical into the borehole;   performing a state estimation for the chemical injection system based at least in part on the flow rate data;   generating a chemical injection flow rate profile based at least in part on the flow rate data; and   generating a control signal to control the chemical injection system based at least in part on the chemical injection flow rate profile.   
     
     
         17 . The method of  claim 16 , wherein the control signal is determined using a machine learning model, wherein the machine learning model is a decision tree. 
     
     
         18 . The method of  claim 16 , wherein the flow sensor is disposed in a flow control device. 
     
     
         19 . The method of  claim 16 , wherein the control signal is a signal to increase the rate of flow of the chemical into the borehole. 
     
     
         20 . The method of  claim 16 , wherein the control signal is a signal to decrease the rate of flow of the chemical into the borehole.

Join the waitlist — get patent alerts

Track US2024035362A1 — get alerts on status changes and closely related new filings.

We store only your email — no account needed. See our privacy policy.