IP Library › Granted Patent US 11,555,401
Granted Patent B2
US 11,555,401 · App. 17/021,216 · Granted Jan 17, 2023

Measuring an adsorbing chemical in downhole fluids

Inventors: Christopher M. Jones (Houston, TX); Michael T. Pelletier (Houston, TX); Mark Proett (Missouri City, TX)
Assignee: Halliburton Energy Services, Inc.
E21B49/086E21B49/00E21B49/10G01N1/18G01N33/0044G01N2001/1454G01N2001/2071
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Quick Facts
Patent No.
US 11,555,401
App. No.
17/021,216
Granted
Jan 17, 2023
Kind
B2
Abstract

Interaction of adsorbing chemicals with a downhole tool presents inaccuracies in the adsorbing chemical measurement and analysis. The principles of the present disclosure provide a method and system of sampling fluids including an adsorbing chemical in a subterranean reservoir. One method may include modeling an interaction between the adsorbing chemical and a downhole tool, applying the model to a measurement of the adsorbing chemical, and adjusting the measurement in response to applying the model.

Claims (45)

1. A method to detect a chemical in a subterranean reservoir comprising: simulating behavior of a chemical as the chemical moves from a reservoir to a location within a downhole tool;

based on the simulation, using mathematical fitting to generate a model of the behavior; using the downhole tool, sampling a downhole fluid containing the chemical; characterizing a response of the downhole tool to the chemical using the model, wherein characterizing includes defining a characteristic that corresponds to at least one of an adsorption and desorption interaction between the downhole fluid and downhole tool; and

operating the downhole tool in response to the characterization.

2. The method as defined in claim 1 , wherein:

the model is matched to downhole test data;

the model is comprised of a gaussian model, exponential model, or double exponential model;

the model is derived from an approximation; or

the model comprises an error function.

3. The method as defined in claim 1 , wherein the downhole tool is a formation tester, a fluid identification or contamination section of a downhole tool or a nuclear magnetic resonance (“NMR”) section of a downhole tool.

4. The method as defined in claim 1 , wherein:

the simulation is a numeric simulation or finite element simulation; or

the simulation is performed as part of a pre-job operation.

5. The method as defined in claim 1 , wherein:

the model is adjusted while the downhole tool is downhole; or

the model is used to determine a concentration of the chemical in the downhole fluid.

6. The method as defined in claim 1 , wherein:

the chemical is at least one of H2S, mercury, CO2, tracer, water scaling chemical, sulfur containing species, a mercaptan, filtrate tracer, a radioactive tracer, Tritium, a bromide compound, an iodide compound, a fatty acid or Nitrate anion; or

the chemical is a corrosive or adsorbing chemical.

7. The method as defined in claim 1 , wherein:

the chemical is detected optically, electrically or chemically; or

the chemical is detected using a Gas Chromatograph, sulfur detector or nuclear magnetic resonance (“NMR”) device.

8. The method as defined in claim 1 , wherein operating the downhole tool comprises predicting, planning or adjusting in real-time a sampling job in response to the characterization.

9. The method as defined in claim 1 , wherein:

the simulation uses at least one of a composition, temperature, pressure, fluid flow rate or formation tester configuration; or

the simulation is a steady state model.

10. A tool for sampling fluids including a chemical in a subterranean reservoir, comprising: a formation tester having a sampling chamber; and a processor coupled to the formation tester to perform operations comprising: simulating behavior of a chemical as the chemical moves from a reservoir to the sampling chamber; based on the simulation, using mathematical fitting to generate a model of the behavior; using the formation tester, sampling a downhole fluid containing the chemical; characterizing a response of the formation tester to the chemical using the model, wherein characterizing includes defining a characteristic that corresponds to at least one of an adsorption and desorption interaction between the downhole fluid and downhole tool; and operating the formation tester in response to the characterization.

11. The tool as defined in claim 10 , wherein:

the model is matched to downhole test data;

the model is comprised of a gaussian model, exponential model, or double exponential model;

the model is derived from an approximation; or the model comprises an error function.

12. The tool as defined in claim 10 , wherein:

the simulation is a numeric simulation or finite element simulation; or

the simulation is performed as part of a pre-job operation.

13. The tool as defined in claim 10 , wherein the model is adjusted while the downhole tool is downhole.

14. The tool as defined in claim 10 , wherein:

the chemical is at least one of H2S, mercury, CO2, tracer, water scaling chemical, sulfur containing species, a mercaptan, filtrate tracer, a radioactive tracer, Tritium, a bromide compound, an iodide compound, a fatty acid or Nitrate anion; or

the chemical is a corrosive or adsorbing chemical.

15. The tool as defined in claim 10 , wherein the chemical is detected optically, electrically or chemically.

16. The tool as defined in claim 10 , wherein:

a detector for detecting the chemical is located proximal to the sampling chamber;

the detector is a Gas Chromatograph, sulfur detector or nuclear magnetic resonance (“NMR”) detector.

17. The tool as defined in claim 10 , wherein operating the downhole tool comprises predicting, planning or adjusting in real-time a sampling job in response to the characterization.

18. The tool as defined in claim 10 , wherein the model is used to determine a concentration of the chemical in the downhole fluid.

19. The tool as defined in claim 10 , wherein the simulation uses at least one of a composition, temperature, pressure, fluid flow rate or formation tester configuration.

20. The tool as defined in claim 10 , wherein the simulation is a steady state model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 14, 2023
From: JONES, CHRISTOPHER M.; PELLETIER, MICHAEL T.; PROETT, MARK
To: HALLIBURTON ENERGY SERVICES, INC.
Reel/Frame 064903/0540 →
Continuity (3)
Continuation 16240993 · Jan 7, 2019
Continuation 14344842
Related Publication 20200408092A1 · Dec 31, 2020
Cited By (1)
US 12,546,218