Open AccessPreparation and application of stochastic simulation for the sensitive parameters of oil-bearing reservoir
Author(s) -
Shiqi Zhang,
Feifei Wei,
Shijie Li,
Junxia Ma,
Yanjun Wang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/600/1/012051
Subject(s) - inversion (geology) , chart , electrical resistivity and conductivity , parametric statistics , geostatistics , saturation (graph theory) , geology , petroleum engineering , electrical impedance , geotechnical engineering , mineralogy , algorithm , mathematics , spatial variability , engineering , statistics , geomorphology , electrical engineering , structural basin , combinatorics
The petrol physical inversion, based on the parametric relations defined by the Archie’s formulas, revealed that oiliness of reservoir in the targeted zone increases along with the resistivity increment. U sing the different values of resistivity Rt f , and water saturation Sw=80% as the aqueous layer limit, we build up a theoretical chart of Rt f greater than 3.5Ω.m as the reference standard for Oil bearing sand body. Upon the statistical results of actual well data, we set “the cloud relationship” between Rt f and P-impedance under the constraint of geostatistics inversion data, and used the cooperative simulation algorithm to get a spatial prediction of oil-bearing sand body by means of inversion data of the P-impedance.