PATENT CLAIM ANALYSIS

Application Number: 15923794
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["250", "338500"]

Abstract:
Apparatus and methods for rapidly detecting, localizing, imaging, and quantifying leaks of natural gas and other hydrocarbon and greenhouse gases. Scanning sensors, scan patterns, and data processing algorithms enable monitoring a site to rapidly detect, localize, image, and quantify amounts and rates of hydrocarbon leaks. Multispectral short-wave infrared detectors sense non-thermal infrared radiation from natural solar or artificial illumination sources by differential absorption spectroscopy. A multispectral sensor is scanned to envelop an area of interest, detect the presence and location of a leak, and raster scan the area around the leak to create an image of the leak. The resulting absorption image related to differential spectral optical depth is color mapped to render the degree of gas absorption across the scene. Analysis of this optical depth image, with factors including known inline pressures and/or surface wind speed measurements, enable estimation of the leak rate, i.e., emission mass flux of gas.

Claim (Index 19):
A method for characterizing the mass flow of hydrocarbon gas emissions of a hydrocarbon of interest from an aperture or surface, the hydrocarbon of interest being at a substantially known or measured pressure prior to being emitted from the aperture or surface, the method comprising:\n a. obtaining a differential absorption image of the gas emissions using a multispectral imaging sensor comprising\n i. plural discrete photo-detectors, each responsive to light in a wavelength range of 1.0 to 2.6 microns, each photo-detector having a respective electronic read-out circuit for providing respective outputs, \n ii. plural spectral filters, each spectral filter substantially covering a respective photo-detector and being transmissive to light of wavelengths spanned by a spectral feature of a hydrocarbon compound of interest, \n iii. an optical element for gathering and focusing incident illumination at least in a wavelength range of 1.0 to 2.6 microns through each of the plural spectral filters and onto the respective discrete photo-detector for the discrete photo-detectors to sense the filtered incident illumination; \n iv. a scanning actuator for causing the incident illumination to be received in a two-dimensional scan pattern, \n v. at least one signal integration and conversion circuit in communication with the read-out circuits for selectively integrating, amplifying, and digitizing the read-out circuit outputs, \n vi. at least one scan control circuit in communication with the scanning actuator for controlling the scanning actuator and the at least one signal integration and conversion circuit for generating, by the at least one signal integration and conversion circuit, a sequence of two-dimensional data elements from the integrated, amplified, and digitized read-out circuit outputs for each of multiple spectral bands in coordination with the scan pattern, and \n vii. a processor in communication with the at least one signal integration and conversion circuit for\n 1. receiving the generated data elements and a value representative of a distance between the photo-detectors and a reflective calibration target for calibrating the data elements of each spectral band relative to data elements associated with a spectral feature of a hydrocarbon compound of interest, by determining calibration parameters comprising\n a. a dark level offset for each spectral band, \n b. a relative gain for data elements of interest between spectral bands, and \n c. a relative absorption coefficient for each spectral band characterizing the local atmosphere across multiple spectral bands, and \n \n 2. adapting the relative gain across spectral bands, using the generated data elements and the calibration parameters, to spectral reflectivities of background materials within the environment, and determine a differential optical depth among spectral bands for assessing absorption by hydrocarbons along said scan pattern; and \n \n b. estimating the diameter of a substantially round aperture from which the hydrocarbon gas is emitted or the mass flow rate of said hydrocarbon of interest based upon at least one of\n i. a relationship between the average differential optical depth along the gas jet extrapolated to the vertex of the gas jet and the substantially known or measured pressure with respect to the diameter or area of the aperture from which the hydrocarbon gas is emitted, \n ii. a relationship between the substantially known or measured pressure and the mass flow of the hydrocarbon gas emitted from the aperture of inferred diameter or area, \n iii. a relationship between the differential optical depth and the mass flow per unit area of the hydrocarbon gas emitted from a surface of limited extent under a substantially steady wind of measured speed and direction, \n iv. a relationship between the differential optical depth, a rate of change of the differential optical depth, and a mass flow per unit area of the hydrocarbon gas emitted from the surface of limited extent under a substantially steady wind of measured speed and direction following a wind gust, and \n v. a relationship between the differential optical depth derived at a height H above a wide-area surface from which the hydrocarbon gas is emitted and the mass flow per unit area of the hydrocarbon gas emitted from the surface under the influence of buoyancy.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 1.68317
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15598052', '14650981', '10444586', '15074840', '10927122']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6646742136316207
- 35 USC 102 Novelty (BERT): 0.5795122220221519
- Combined Prediction Score: 0.6561580144706738
- Mean Citation Score: 240.871566
- Max Citation Score: 494.1758
- Similarity Product: 426.2705805091737

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test