Abstract: The chemical distance between fingerprints of fluid samples from a reservoir can be determined using statistical analyses. Upon performing chromatographic analyses on fluid samples from the reservoir, certain peak height values from the chromatograms are selected, and various peak height ratios are formed using the selected peak height values. An experimental distribution of the differences between the peak height ratios is produced using two chromatograms from one of the fluid samples and a theoretical distribution of the differences of the peak height ratios are produced assuming the two chromatograms are from the one of the fluid samples. An uncertainty model of the peak height values is optimized and the parameters of the optimized uncertainty model are used to modify the theoretical distribution. The interquartile ranges of the experimental distribution and the modified theoretical distribution are determined and the chemical distance between the samples is determined using the interquartile ranges.

Abstract: Example embodiments include one or more of a method, computing device, computer-readable medium and system for allocating oil production from geochemical fingerprints. In an example embodiment, a method may include providing a known mixture comprising known proportions of a plurality of end-members; providing an unknown mixture comprising unknown proportions of the end-members; performing a chromatographic analysis of each of the known mixture, the end-members, and the unknown mixture; determining a plurality of peak ratios, and prior peak ratio qualities related to the peak ratios, using the chromatographic analysis; and estimating an estimate of the unknown proportions of the end-members using the peak ratios, the prior peak ratio qualities, and the known proportion of the end-members.

Abstract: The process of determining similarities of signals resulting from a sample analysis step using the same type of measuring device, characterized by the fact that it comprises a step of determining a value for each parameter of an uncertainty model related to said signals by processing homologous characteristic elements in at least two signals derived from the analysis of similar samples, and a step of determining a measurement of similarity between signals based on each parameter value of the said uncertainty model and of homologous characteristic elements in the different signals whose similarity is being measured. In some embodiments, during the value determination step, a mathematical uncertainty model is optimized so that it corresponds to the theoretically expected differences between the homologous characteristic elements in the various signals from similar samples.

Abstract: Example embodiments include one or more of a method, computing device, computer-readable medium and system for allocating oil production from geochemical fingerprints. In an example embodiment, a method may include providing a known mixture comprising known proportions of a plurality of end-members; providing an unknown mixture comprising unknown proportions of the end-members; performing a chromatographic analysis of each of the known mixture, the end-members, and the unknown mixture; determining a plurality of peak ratios, and prior peak ratio qualities related to the peak ratios, using the chromatographic analysis; and estimating an estimate of the unknown proportions of the end-members using the peak ratios, the prior peak ratio qualities, and the known proportion of the end-members.

Abstract: The process of determining similarities of signals resulting from a sample analysis step using the same type of measuring device, characterized by the fact that it comprises a step of determining a value for each parameter of an uncertainty model related to said signals by processing homologous characteristic elements in at least two signals derived from the analysis of similar samples, and a step of determining a measurement of similarity between signals based on each parameter value of the said uncertainty model and of homologous characteristic elements in the different signals whose similarity is being measured.

Abstract: The chemical distance between fingerprints of fluid samples from a reservoir can be determined using statistical analyses. Upon performing chromatographic analyses on fluid samples from the reservoir, certain peak height values from the chromatograms are selected, and various peak height ratios are formed using the selected peak height values. An experimental distribution of the differences between the peak height ratios is produced using two chromatograms from one of the fluid samples and a theoretical distribution of the differences of the peak height ratios are produced assuming the two chromatograms are from the one of the fluid samples. An uncertainty model of the peak height values is optimized and the parameters of the optimized uncertainty model are used to modify the theoretical distribution. The interquartile ranges of the experimental distribution and the modified theoretical distribution are determined and the chemical distance between the samples is determined using the interquartile ranges.