Improved oil recovery estimation with data analytic methods: A workflow for open data analysis

Chad E. Kronkosky, Blake C. Kronkosky, Amin Ettehadtavakkol

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


Reserve evaluators use the Secondary to Primary recovery ratio (S:P ratio) to infer a first-order reserve estimate for Improved Oil Recovery (IOR) project screening. Determining S:P ratios via analog processes (e.g. data gathering, screening properties, reserve estimates, etc.) is tedious; implementing data analytic methods improves our understanding of the risks and uncertianies associated with reserve/resource estimates for IOR projects by allowing evaluators the ability to analyze significant amounts of data readily. The objective of this paper is to illustrate an application of data analytic methods for IOR performance estimates using geospatial datasets with historical waterflood records in the State of Texas. A spatial-temporal correlation workflow is applied to quantify the uncertainty of IOR estimates based on spatial proximity and S:P ratios. Multivariate regression was applied to predict IOR estimates and validated with exsisting projects. The results show spatial proximity by itself is not a reliable method for the IOR estimation; S:P ratios vary significantly with nearby analgous projects. In addition, the uncertainty analysis herein provides an insight to the reliability of IOR estimates. The example modeling results provided in this paper are spourous, and not to be taken as a final reserve/resource analysis; the analytic methods presented in this paper can serve as tuning and screening tools for performance prediction of IOR prospects.

Original languageEnglish
Title of host publicationSociety of Petroleum Engineers - SPE Western Regional Meeting 2017
PublisherSociety of Petroleum Engineers (SPE)
Number of pages12
ISBN (Electronic)9781510841994
StatePublished - 2017
EventSPE Western Regional Meeting 2017 - Bakersfield, United States
Duration: Apr 23 2017Apr 27 2017

Publication series

NameSPE Western Regional Meeting Proceedings


ConferenceSPE Western Regional Meeting 2017
Country/TerritoryUnited States


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