公开(公告)号：US20180031732A1

公开(公告)日：2018-02-01

申请号：US15550792

申请日：2016-02-12

Applicant: Schlumberger Technology Corporation

Inventor： Laurent Mosse ,  Helena Gamero Diaz ,  Josselin Kherroubi ,  Tina Calvin ,  Erik Rylander

IPC: G01V11/00 ,  G01V99/00

CPC classification number: G01V11/00 ,  G01N33/24 ,  G01V99/005 ,  G01V2210/66

Abstract: A method can include receiving data for a geologic environment where the data include data acquired via different types of borehole tool sensors; based at least in part on the data, determining rock composition of the geologic environment where the rock composition includes depositional components and diagenetic components; and, based at least in part on the rock composition, outputting a stratigraphic model of at least a portion of the geologic environment.

公开(公告)号：US11112516B2

公开(公告)日：2021-09-07

申请号：US15966607

申请日：2018-04-30

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

Inventor： Tuanfeng Zhang ,  Richard E. Lewis ,  Helena Gamero Diaz

IPC: G01V1/30 ,  G01V1/40 ,  G06F17/15 ,  G06F17/16

Abstract: Methods may include normalizing two or more wellbore logs obtained from the output of two or more wellbore tool surveys of a wellbore in a formation of interest; inputting two or more wellbore logs into a correlation matrix; assigning each of the two or more wellbore logs a positive or negative value based on the impact on a selected wellbore quality; performing a principal component analysis of the two or more wellbore logs to obtain one or more loading vectors; computing weighting factors for each of the two or more wellbore logs from the one or more loading vectors; and generating a quality index by linearly combining the two or more wellbore logs using the computed weighting factors.

公开(公告)号：US20190331813A1

公开(公告)日：2019-10-31

申请号：US15966607

申请日：2018-04-30

Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION

Inventor： Tuanfeng Zhang ,  Richard E. Lewis ,  Helena Gamero Diaz

IPC: G01V1/30 ,  G06F17/16 ,  G06F17/15 ,  G01V1/40

Abstract: Methods may include normalizing two or more wellbore logs obtained from the output of two or more wellbore tool surveys of a wellbore in a formation of interest; inputting two or more wellbore logs into a correlation matrix; assigning each of the two or more wellbore logs a positive or negative value based on the impact on a selected wellbore quality; performing a principal component analysis of the two or more wellbore logs to obtain one or more loading vectors; computing weighting factors for each of the two or more wellbore logs from the one or more loading vectors; and generating a quality index by linearly combining the two or more wellbore logs using the computed weighting factors.