{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liu X"],"funding":["Natural Science Foundation of Chongqing, China","Science and Technology Special Project of PetroChina Company Limited","Science and Technology Research Program of Chongqing Education Municipal Commission"],"pagination":["e0328726"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12410822"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["20(9)"],"pubmed_abstract":["Accurately determining initial water saturation is essential for assessing reservoir resources and optimizing development, yet conventional J-function methods face challenges such as variability in curve fitting due to sample heterogeneity, less-than-optimal grouping schemes, and limited core sample availability. This study addressed these issues by analyzing 55 J-function curves from the N reservoir in Iraq's Zagros Basin, identifying permeability as the primary factor influencing curve shape. A novel classification method was developed, categorizing curves into power function and exponential function types based on permeability thresholds. Improved J-function models were established by correlating undetermined coefficients with the reservoir quality index (RQI), enabling continuous, tail"],"journal":["PloS one"],"pubmed_title":["A delicate calculation method for reservoir initial water saturation based on a novel approach to J-function construction."],"pmcid":["PMC12410822"],"funding_grant_id":["KJQN202301249","KJZD-K202201204","2024DJ1001","CSTB2022NSCQ-MSX1135"],"pubmed_authors":["Liu X","Yang H","Hong L","Kang H","Dong L","Qu Y"],"additional_accession":[]},"is_claimable":false,"name":"A delicate calculation method for reservoir initial water saturation based on a novel approach to J-function construction.","description":"Accurately determining initial water saturation is essential for assessing reservoir resources and optimizing development, yet conventional J-function methods face challenges such as variability in curve fitting due to sample heterogeneity, less-than-optimal grouping schemes, and limited core sample availability. This study addressed these issues by analyzing 55 J-function curves from the N reservoir in Iraq's Zagros Basin, identifying permeability as the primary factor influencing curve shape. A novel classification method was developed, categorizing curves into power function and exponential function types based on permeability thresholds. Improved J-function models were established by correlating undetermined coefficients with the reservoir quality index (RQI), enabling continuous, tail","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-05-29T19:43:07.379Z","creation":"2026-04-08T05:50:01.384Z"},"accession":"S-EPMC12410822","cross_references":{"pubmed":["40906682"],"doi":["10.1371/journal.pone.0328726"]}}