Dayanand Saini
California State University, USA
Title: CO2-Prophet model based evaluation of CO2-EOR and storage potential in mature oil reservoirs
Biography
Biography: Dayanand Saini
Abstract
The selection of candidate reservoirs for future CO2 enhanced oil recovery (EOR) and storage projects greatly relies on methodical screening and detailed site specific evaluations. Once suitable reservoirs are identified in an initial screening for further evaluation, CO2-Prophet screening model can be used for a better understanding of proposed EOR project performance and site specific incidental CO2 storage potential prior to launching detailed and time consuming reservoir simulation studies. Often, calibration of CO2-prophet model is either overlooked or performed for achieving a material balance for oil and water phases. A reservoir specific calibration of CO2-Prophet model for obtaining material balance for oil and water phases is aimed to increase confidence in future performance prediction results. The present paper describes the calibration procedure of the CO2-Prophet model in detail and uses the appropriately calibrated model for predicting CO2-EOR performance and incidental CO2 storage potential in the selected reservoirs. The present study uses CO2-Prophet model for expanding the initial screening process further i.e., site specific evaluation of CO2-EOR and storage potential using an approach that lies between initial screening estimates and detailed reservoir simulation based studies. Beyond EOR based volumetric predictions or other simple estimations made in initial screening of candidate reservoirs, appropriately calibrated CO2-Prophet model can provide more robust and reservoir specific estimate of CO2-EOR and incidental CO2 storage potential for candidate reservoirs. Such results can be used for making initial business decisions like selection of prospective pilot sites or field acquisition while avoiding the need of detailed reservoir simulation studies.
