--> Wireline Log Data Conditioning to Improve Machine Learning Based Facies Identification Across the Well
[First Hit]

AAPG Asia Pacific Technical Symposium

Datapages, Inc.Print this page

Wireline Log Data Conditioning to Improve Previous HitMachineNext Hit Previous HitLearningNext Hit Based Previous HitFaciesNext Hit Identification Across the Well

Abstract

Wellbore Core is the most important data for geologist in identifying Previous HitfaciesNext Hit in subsurface realm, unfortunately core is not always available. In contrast with wellbore core, wireline log is almost always available in wellbore, thus geologist develop methods to identify depositional Previous HitfaciesNext Hit. The technique that being developed are more into assessing the data qualitatively, they use log vertical pattern for their interpretation. For most of the time the results of the interpretation are rather subjective, meaning every geologist has different eye in making Previous HitfaciesNext Hit interpretation, even the same geologist might have different interpretation on the second time they interpreting the same data. It even getting worst when interpreting different well that have different log statistical characteristic. Therefore, a more consistent approach is needed to reduce interpretation subjectivity. Wireline log is stack of formatted data that contains many geological information, such as rock property as well as Previous HitfaciesNext Hit. With representative sample, Previous HitmachineNext Hit Previous HitlearningNext Hit capable to identify Previous HitfaciesNext Hit from well log data. In previous research, single well Previous HitfaciesNext Hit identification has satisfying result, however when it comes with different well, especially that have log statistical characteristic Previous HitfaciesNext Hit identification result are not very satisfying. There are three methods to improve Previous HitmachineNext Hit Previous HitlearningNext Hit based Previous HitfaciesNext Hit identification accuracy: more Previous HitfaciesNext Hit sample Previous HitusingNext Hit wireline log data, tuning Previous HitmachineNext Hit Previous HitlearningNext Hit algorithm, and lastly data conditioning. This research will focus on the effect of data conditioning in Previous HitMachineNext Hit Previous HitLearningNext Hit Based Previous HitFaciesTop Identification. The conditioning that will be discussed in this research are statistical correction, mathematical operation, increasing (or reducing) data dimensionality, and log resolution reduction.