<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>During the long-term exploration and development of the oilfield, it is difficult to ensure that all well logging curves are measured by the same type of instrument, the same calibration standard and the same operation mode, For different wells, there must be systematic errors caused by these reasons. Therefore, in addition to environmental correction, it is necessary to standardise logging curves. In XJ oilfield, three logging companies use wireline logging and logging while drilling to complete logging, in multi-well logging interpretation. To eliminate the systematic errors of different measuring tools, to maximise the geological information reflected by logging curves, and to make logging interpretation follow the same standard as much as possible, it is necessary to standardise the logging curve in the whole oilfield. This article takes the standardisation of well 106 in XJ oilfield as an example, the standardisation of different methods was compared, the method of combining frequency histogram and mean variance is better.</p>
</abstract>

During the long-term exploration and development of the oilfield, it is difficult to ensure that all well logging curves are measured by the same type of instrument, the same calibration standard and the same operation mode, For different wells, there must be systematic errors caused by these reasons. Therefore, in addition to environmental correction, it is necessary to standardise logging curves. In XJ oilfield, three logging companies use wireline logging and logging while drilling to complete logging, in multi-well logging interpretation. To eliminate the systematic errors of different measuring tools, to maximise the geological information reflected by logging curves, and to make logging interpretation follow the same standard as much as possible, it is necessary to standardise the logging curve in the whole oilfield. This article takes the standardisation of well 106 in XJ oilfield as an example, the standardisation of different methods was compared, the method of combining frequency histogram and mean variance is better.

Research on the normalisation method of logging curves: taking XJ Oilfield as an example

Key Laboratory of Exploration Technologies for Oil and Gas Resources

Ministry of Education (Yangtze University)

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

During the long-term exploration and development of the oilfield, it is difficult to ensure that all well logging curves are measured by the same type of...

Research on the normalisation method of logging curves: taking XJ Oilfield as an example

Publié en ligne: 08 avr. 2021

Pages: 99 - 110

Reçu: 27 nov. 2020

Accepté: 31 janv. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00026

Mots clés
logging curve, normalisation, XJ oilfield, frequency histogram, mean variance robot

© 2021 Chang Mingyang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the normalisation method of logging curves: taking XJ Oilfield as an example

Publié en ligne: 08 avr. 2021

Pages: 99 - 110

Reçu: 27 nov. 2020

Accepté: 31 janv. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00026

Mots cléslogging curve, normalisation, XJ oilfield, frequency histogram, mean variance robot

© 2021 Chang Mingyang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
logging curve, normalisation, XJ oilfield, frequency histogram, mean variance robot