Abstract
Summary Aiming at the problems in the pore structure evaluation and reservoir classification of tight sandstone reservoirs, this paper proposes to use nuclear magnetic resonance (NMR) logging to evaluate the properties of pore structure (pore heterogeneity, pore-throat size characteristics, and physical properties) of rocks, and then selects the sensitive parameters to establish a comprehensive reservoir classification index (RCI) for the classification of tight sandstone reservoirs. And on this basis, the radial basis function (RBF) method is used to establish a mapping relationship between conventional logging curves and RCI calculated by NMR logging. Therefore, the RCI can be predicted by this mapping relationship using conventional logging data and then the reservoirs can be classified based on RCI. The RCI of tight sandstone reservoirs calculated by this method are in good agreement with the results of production testing, which is further proved that this method is effective for reservoir classification.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
