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Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach (2020)
Conference Proceeding
Cumming, J., Botsas, T., Jermyn, I., & Gringarten, A. (2020). Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach. In SPE Virtual Europec 2020 ; proceedings (SPE-200617-MS). https://doi.org/10.2118/200617-ms

Objectives/Scope: A stable, single-well deconvolution algorithm has been introduced for well test analysis in the early 2000’s, that allows to obtain information about the reservoir system not always available from individual flow periods, for exampl... Read More about Assessing the Non-Uniqueness of a Well Test Interpretation Model Using a Bayesian Approach.

Constrained Least-Squares Multiwell Deconvolution (2019)
Conference Proceeding
Cumming, J., Jaffrezic, V., Whittle, T., & Gringarten, A. (2019). Constrained Least-Squares Multiwell Deconvolution. In Proceedings of the SPE Western Regional Meeting 2019. https://doi.org/10.2118/195271-ms

In this paper, we reduce non-uniqueness and ensure physically feasible results in multiwell deconvolution by incorporating constraints and knowledge to the methodology of Cumming et al. (2014). The constraints discourage non-physical shapes for the d... Read More about Constrained Least-Squares Multiwell Deconvolution.

Multiwell Deconvolution for Shale Gas (2016)
Conference Proceeding
Tung, Y., Virues, C., Cumming, J., & Gringarten, A. (2016). Multiwell Deconvolution for Shale Gas. . https://doi.org/10.2118/180158-ms

In the last decade, single well deconvolution (von Schroeter et al., 2001) has become recognised as a powerful tool for reservoir characterization. Deconvolution transforms well test pressure data measured at varying rates into an equivalent unit rat... Read More about Multiwell Deconvolution for Shale Gas.