发明名称 PHASE PREDICTIONS USING GEOCHEMICAL DATA
摘要 Methods for developing equation-of-states (EOS) composition models for predicting petroleum reservoir fluid behavior and understanding fluid heterogeneity in unconventional shale plays are described. In particular, limited geochemical data from samples taken from the reservoir of interested are utilized to build and tune the EOS model and improve predictions. Real-time applications are also described.
申请公布号 US2017075028(A1) 申请公布日期 2017.03.16
申请号 US201615263501 申请日期 2016.09.13
申请人 CONOCOPHILLIPS COMPANY 发明人 BANG Vishal;JOKANOLA Olufemi A.
分类号 G01V11/00;G01V9/00;G01V99/00 主分类号 G01V11/00
代理机构 代理人
主权项 1) A method of predicting fluid phase behavior in a reservoir comprising: a) obtaining at least one sample of a reservoir fluid or mud gas or core and cutting extracts from a reservoir; b) estimating the thermal maturity (% RO) of said reservoir fluid; c) estimating the API gravity, a condensed gas ratio (CGR), and a gas to oil ratio (GOR) of said reservoir fluid using a predetermined correlation with said % RO; d) estimating a hydrocarbon component composition from C1 to C6 and a C7+ fraction, and gas gravity of said reservoir fluid from said API gravity and said CGR and said GOR; e) obtaining critical properties for each of the C1-C6 components from literature in said composition of reservoir fluid; f) splitting said C7+ fraction in to C7 to Cn (where n>7) and estimating mole fractions and critical properties for C7 to Cn components in said composition of said reservoir fluid; g) reducing the number of hydrocarbon components by lumping hydrocarbon components based on any lumping method to form one or more lumped components and zero or more unlumped components; h) building a pseudo equation-of-state (EOS) model using with the compositions, critical properties, Peneloux volume shift parameters and binary interaction parameters for unlumped components and lumped components along with EOS constants for a given EOS model; i) comparing pseudo EOS model calculations with the estimated CGR, GOR, API and gas gravity in steps c-d; j) tuning the pseudo EOS model until the model calculations are within predetermined tolerance limits of said calculations in steps c-d to create a final EOS model; and, k) predicting fluid phase behavior and properties with final EOS model.
地址 Houston TX US