Automatic depth correction method and system based on dual-scale correlation comparison

Abstract

The invention provides an automatic depth correction method based on dual-scale correlation contrast. The method comprises the steps that S1. electric imaging logging data are loaded and the electric imaging logging data are preprocessed; S2. undersampling interpolation is performed on an imaging logging natural gamma curve GR<0><image> according to the sampling interval of a conventional logging natural gamma curve GR<0><log> in conventional logging data; S3. rough correction is performed on an imaging logging natural gamma correction curve GR<1><image> and the conventional logging curve GR<0><log> through first time of contrast under a first scale window; S4. resampling is performed on the conventional logging natural gamma curve GR<0><log> according to the sampling interval of the imaging logging natural gamma curve GR<0><image>; S5. fine correction is performed on the imaging logging natural gamma curve GR<0><image> and the conventional logging natural gamma curve GR<1><log> within depth range of rough correction obtained under the first scale window through the second time of contrast in a second scale window; and S6. an imaging logging natural gamma correction curve GR<2><image> under dual scales is obtained, and then other imaging logging curves are corrected according to the rule of the imaging logging natural gamma correction curve GR<2><image>.

Description

technical field [0001] The invention relates to the data processing field of logging technology, in particular to an automatic depth correction method and system based on dual-scale correlation comparison. Background technique [0002] Geophysical logging obtains various geophysical parameters of the well profile through multiple combined measurements, and uses this to study the geological and engineering problems of the well profile. However, for the well logging curves measured by different sub-combination logging, there will be depth deviation due to various reasons. Therefore, when performing digital processing and comprehensive interpretation of logging data, it is necessary to use the depth of a certain combined logging as the standard, and align other logging curves with the depth (that is, perform relative depth correction). [0003] The relative depth correction of logging curves can be done by manual, human-computer interaction and automatic computer processing. ...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the disadvantages of low correction accuracy existing in the existing technology under complex conditions, especially when the depth difference between conventional logging and electrical imaging logging data is large, an automatic depth correction method based on dual-scale correlation comparison is proposed and The system can realize accurate correction between conventional logging data and electrical imaging logging data

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