<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...

Well name	GR
	System median	Single well median	Offset		Logging company
	System median	Single well median	Additive factor	Multiplication factor	Logging company
A1	142	139.2	2.8	1	Halliburton
A2	142	137	5	1	Halliburton
A3	142	149	−7	1.12
A4	142	147	−5	1	Schlumberger
A5	142	133	9	1.1	Schlumberger
A6	142	136	6	1	Schlumberger
A7	142	134	8	1.134	Baker Hughes
A8	142	139	3	1	Schlumberger
A9	142	141	1	1	Schlumberger
A10	142	128	14	0.98	Baker Hughes
A11	142	133	9	1	Baker Hughes
A12	142	144	−2	1	Schlumberger

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

Publicado en línea: 08 abr 2021

Páginas: 99 - 110

Recibido: 27 nov 2020

Aceptado: 31 ene 2021

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

Palabras clave
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.

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Properties of raw materials

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

Publicado en línea: 08 abr 2021

Páginas: 99 - 110

Recibido: 27 nov 2020

Aceptado: 31 ene 2021

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

Palabras clavelogging 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.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

Fig. 11

Fig. 12

Properties of raw materials

Palabras clave
logging curve, normalisation, XJ oilfield, frequency histogram, mean variance robot