公开(公告)号：EP3254142A1

公开(公告)日：2017-12-13

申请号：EP15813512.9

申请日：2015-12-14

Applicant: Foster Findlay Associates Limited

Inventor： LOWELL, James ,  YADAV, Hanish ,  CYBULSKIJ, Vitalij ,  ECKERSLEY, Adam ,  PURVES, Stephen

IPC: G01V1/30 ,  G01V1/34

CPC classification number: G01V1/302 ,  G01V1/345

Abstract: The present invention describes a method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of (a) generating an attribute volume comprising at least one attribute from said 3D seismic data; (b) generating at least one frequency decomposition colour blend volume from said 3D seismic data; (c) generating a data volume comprising at least one geological object utilising data from said attribute volume and said frequency decomposition colour blend volume; (d) generating a facies classification model dataset for a predetermined region of interest of said 3D seismic data applying a probabilistic algorithm and utilizing data from said geobody volume and said frequency decomposition colour blend volume; (e) selectively adjusting at least one first model parameter, so as to optimise said facies classification model dataset in accordance with a conceptual geological model; and (f) selectively providing said facies classification model dataset in a representative property model of said region of interest of said 3D seismic data.

公开(公告)号：EP3254142B1

公开(公告)日：2018-07-25

申请号：EP15813512.9

申请日：2015-12-14

Applicant: Foster Findlay Associates Limited

Inventor： LOWELL, James ,  YADAV, Hanish ,  CYBULSKIJ, Vitalij ,  ECKERSLEY, Adam ,  PURVES, Stephen

IPC: G01V1/30 ,  G01V1/34

CPC classification number: G01V1/302 ,  G01V1/345

Abstract: The present invention describes a method for adaptively determining a plurality of sedimentary facies from 3D seismic data, comprising the steps of (a) generating an attribute volume comprising at least one attribute from said 3D seismic data; (b) generating at least one frequency decomposition color blend volume from said 3D seismic data; (c) generating a data volume comprising at least one geological object utilizing data from said attribute volume and said frequency decomposition color blend volume; (d) generating a facies classification model dataset for a predetermined region of interest of said 3D seismic data applying a probabilistic algorithm and utilizing data from said geobody volume and said frequency decomposition color blend volume; (e) selectively adjusting at least one first model parameter, so as to optimize said facies classification model dataset in accordance with a conceptual geological model; and (f) selectively providing said facies classification model dataset in a representative property model of said region of interest of said 3D seismic data.