Systems and methods for likelihood-based mapping of areas surveyed for gas leaks using mobile survey equipment
First Claim
1. A non-transitory computer-readable medium encoding instructions which, when executed by a computer system comprising at least one processor, cause the at least one processor to:
- identify a prior 2-D surveyed area according to a first set of gas emission survey data resulting from a first mobile measurement run performed by a mobile measurement device along a first measurement path, the first set of gas emission survey data comprising a trajectory of the first measurement path and a first set of associated atmospheric condition data characterizing the first mobile measurement run, wherein the prior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the prior 2-D surveyed area have been surveyed following the first mobile measurement run; and
perform a Bayesian update of the prior 2-D surveyed area to generate a posterior 2-D surveyed area according to a second set of gas emission survey data resulting from a second mobile measurement run, the second set of gas emission survey data comprising a second set of associated atmospheric condition data characterizing the second mobile measurement run, wherein the posterior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the posterior 2-D surveyed area have been surveyed following the first mobile measurement run and the second measurement run.
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Abstract
In some embodiments, vehicle-based natural gas leak detection methods are used to generate 2-D spatial distributions (heat maps) of gas emission source probabilities and surveyed area locations using measured gas concentrations and associated geospatial (e.g. GPS) locations, wind direction and wind speed, and atmospheric condition data. Bayesian updates are used to incorporate the results of one or more measurement runs into computed spatial distributions. Operating in gas-emission plume space rather than raw concentration data space allows reducing the computational complexity of updating gas emission source probability heat maps. Gas pipeline location data and other external data may be used to determine the heat map data.
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Citations
18 Claims
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1. A non-transitory computer-readable medium encoding instructions which, when executed by a computer system comprising at least one processor, cause the at least one processor to:
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identify a prior 2-D surveyed area according to a first set of gas emission survey data resulting from a first mobile measurement run performed by a mobile measurement device along a first measurement path, the first set of gas emission survey data comprising a trajectory of the first measurement path and a first set of associated atmospheric condition data characterizing the first mobile measurement run, wherein the prior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the prior 2-D surveyed area have been surveyed following the first mobile measurement run; and perform a Bayesian update of the prior 2-D surveyed area to generate a posterior 2-D surveyed area according to a second set of gas emission survey data resulting from a second mobile measurement run, the second set of gas emission survey data comprising a second set of associated atmospheric condition data characterizing the second mobile measurement run, wherein the posterior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the posterior 2-D surveyed area have been surveyed following the first mobile measurement run and the second measurement run. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer system comprising at least one processor configured to:
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identify a prior 2-D surveyed area according to a first set of gas emission survey data resulting from a first mobile measurement run performed by a mobile measurement device along a first measurement path, the first set of gas emission survey data comprising a trajectory of the first measurement path and a first set of associated atmospheric condition data characterizing the first mobile measurement run, wherein the prior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the prior 2-D surveyed area have been surveyed following the first mobile measurement run; and perform a Bayesian update of the prior 2-D surveyed area to generate a posterior 2-D surveyed area according to a second set of gas emission survey data resulting from a second mobile measurement run, the second set of gas emission survey data comprising a second set of associated atmospheric condition data characterizing the second mobile measurement run, wherein the posterior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the posterior 2-D surveyed area have been surveyed following the first mobile measurement run and the second measurement run. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A method comprising:
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collecting a first set of gas emission survey data by conducting a first mobile measurement run using a mobile measurement device traveling along a first measurement path, the first set of gas emission survey data comprising a trajectory of the first measurement path and a first set of associated atmospheric condition data characterizing the first mobile measurement run; identifying a prior 2-D surveyed area according to the first set of gas emission survey data, wherein the prior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the prior 2-D surveyed area have been surveyed following the first mobile measurement run; collecting a second set of gas emission survey data by conducting a second mobile measurement run, the second set of gas emission survey data comprising a second set of associated atmospheric condition data characterizing the second mobile measurement run; and performing a Bayesian update of the prior 2-D surveyed area to generate a posterior 2-D surveyed area according to the second set of gas emission survey data, wherein the posterior 2-D surveyed area comprises a plurality of indicators of whether corresponding locations within the posterior 2-D surveyed area have been surveyed following the first mobile measurement run and the second measurement run. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification