Method and apparatus for oil spill detection

• US 8,362,429 B2
• Filed: 11/01/2011
• Issued: 01/29/2013
• Est. Priority Date: 08/10/2007
• Status: Expired due to Fees

• Current Assignee: Schlumberger Technology Corporation (SLB)
• Original Assignee: Schlumberger Technology Corporation (SLB)
• Inventors: Andrews, Albert Ballard, Shih, Wei-Chuan, Clayton, Matthew, Mullins, Oliver C.
• Primary Examiner(s): Porta, David
• Assistant Examiner(s): GREEN, YARA B
• Application Number:
  US13/286,422
• Publication Number:
  US 20120095683A1
• Time in Patent Office: 455 Days
• Field of Search: 340/539.26, 250/341.8, 250/343, 250/301, 356/448, 356/51, 356/70, 441/13, 374/4, 374/120, 374/121, 702/172
• US Class Current: 250/339.14
• CPC Class Codes: G01N 2021/1793 Remote sensing
• CPC Class Codes: G01N 21/35 using infrared light G01N21/39 takes precedence
• CPC Class Codes: G01N 21/3563 for analysing solids; Preparation of samples therefor
• CPC Class Codes: G01N 21/3577 for analysing liquids, e.g. polluted water
• CPC Class Codes: G01N 21/3581 using far infrared light; using Terahertz radiation
• CPC Class Codes: G01N 2201/0616 Ambient light is used
• CPC Class Codes: G01N 33/1833 Oil in water
• CPC Class Codes: G01V 8/02 Prospecting
• CPC Class Codes: Y02A 20/20 Controlling water pollution; Waste water treatment

Abstract

The invention relates to a method for detecting the presence of hydrocarbons near an unmanned offshore oil platform. The method steps include monitoring reflected atmospheric and thermal radiation, detecting the presence of hydrocarbons, and generating an alert based on the presence of hydrocarbons.

Claims

1. A method for detecting presence of hydrocarbons on a surface, comprising:

monitoring surface emission from the surface in an infrared band;

obtaining a model for modeling emissivity contrast of the surface emission, wherein the emissivity contrast is induced by the presence of hydrocarbons on the surface, and wherein the model comprises a monotonic emissivity/wavelength dependency and a non-monotonic emissivity/wavelength dependency;

identifying the non-monotonic emissivity/wavelength dependency from the surface emission;

detecting, in response to identifying the non-monotonic emissivity/wavelength dependency, the presence of hydrocarbons from the surface emission based on the model; and

generating an alert based on the presence of hydrocarbons.

2. The method of claim 1, wherein the emissivity contrast comprises at least one selected from a group consisting of temperature contrast, spectral contrast, and thickness contrast.

3. The method of claim 2,

wherein the model further comprises a wavelength dependent emissivity model for the spectral contrast,

and further comprising adjusting a wavelength of the infrared band to detect the spectral contrast.

4. The method of claim 2,

wherein the model further comprises a thickness dependent emissivity model for the thickness contrast induced by a thickness variation of hydrocarbon,

and further comprising configuring a wavelength range of the infrared band to detect the thickness contrast, wherein the presence of hydrocarbons is detected based on the thickness contrast.

5. The method of claim 1, wherein the surface is a water surface.

6. The method of claim 5,

wherein the model further comprises an undetectable range for the temperature contrast based on radiometric temperatures of hydrocarbon, water, and sky, and

wherein the undetectable range is dependent on a wavelength of the infrared band,

and further comprising adjusting the wavelength of the infrared band to avoid the undetectable range, wherein the presence of hydrocarbons is detected based on the temperature contrast.

7. The method of claim 5,

wherein the model further comprises a positive range and a negative range for the temperature contrast based on radiometric temperatures of hydrocarbon, water, and sky, and

wherein the positive range and the negative range is dependent on a wavelength of the infrared band,

and further comprising adjusting the wavelength of the infrared band to detect a change in the temperature contrast, wherein the presence of hydrocarbons is detected based on the change in the temperature contrast.

8. A system for detecting presence of hydrocarbons on a surface, comprising:

a plurality of sensors for monitoring surface emission from the surface in an infrared band; and

a memory and a processor, embodying instructions stored in the memory and executable by the processor, the instructions comprising functionality to;

obtain a model for modeling emissivity contrast of the surface emission, wherein the emissivity contrast is induced by the presence of hydrocarbons on the surface and comprises at least one selected from a group consisting of temperature contrast, spectral contrast and thickness contrast, and wherein the model comprises a monotonic emissivity/wavelength dependency and a non-monotonic emissivity/wavelength dependency;

identify the non-monotonic emissivity/wavelength dependency from the surface emission;

detect, in response to identifying the non-monotonic emissivity/wavelength dependency, the presence of hydrocarbons from the surface emission based on the model; and

generate an alert based on the presence of hydrocarbons.

9. The system of claim 8, wherein the surface is a water surface.

10. The system of claim 9,

wherein the model further comprises an undetectable range for the temperature contrast based on radiometric temperatures of hydrocarbon, water, and sky, and

wherein the undetectable range is dependent on a wavelength of the infrared band,

the instructions further comprising functionality to:

adjust the wavelength of the infrared band to avoid the undetectable range, wherein the presence of hydrocarbons is detected based on the temperature contrast.

11. The system of claim 9,

wherein the model further comprises a positive range and a negative range for the temperature contrast based on radiometric temperatures of hydrocarbon, water, and sky, and

wherein the positive range and the negative range is dependent on an wavelength of the infrared band,

the instructions further comprising functionality to:

adjust the wavelength of the infrared band to detect a change in the temperature contrast, wherein the presence of hydrocarbons is detected based on the change in the temperature contrast.

12. The system of claim 8,

wherein the model further comprises a wavelength dependent emissivity model for the spectral contrast,

the instructions further comprising functionality to:

adjust a wavelength of the infrared band to detect the spectral contrast.

13. The system of claim 8,

wherein the model further comprises a thickness dependent emissivity model for the thickness contrast induced by a thickness variation of hydrocarbon,

the instructions further comprising functionality to:

configure a wavelength range of the infrared band to detect the thickness contrast, wherein the presence of hydrocarbons is detected based on the thickness contrast.