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Electrical imaging logging image stratum attitude identification method

A logging image and identification method technology, applied in the field of electrical imaging logging data application, can solve problems such as difference in results, large workload of manual picking and interpretation, and achieve high bedding accuracy, good promotion value and application prospect, and reduce randomness. sexual effect

Inactive Publication Date: 2015-08-19
CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, in most logging software at home and abroad, the imaging logging processing and interpretation module adopts manual picking for these sinusoidal structures. In wells, the workload of manual picking and interpretation is relatively large, and there are often great differences in the results of processing and interpretation by different interpreters

Method used

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  • Electrical imaging logging image stratum attitude identification method
  • Electrical imaging logging image stratum attitude identification method
  • Electrical imaging logging image stratum attitude identification method

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Embodiment 1

[0031] A method for identifying formation occurrences in electrical imaging logging images, based on the measured micro-resistivity imaging logging data, preprocessing through the generated imaging logging dynamic images, performing edge-preserving smoothing filtering on the pre-processing images, and then Estimating the local direction of the polar plate image, fitting the sine curve based on the tangent value, finely processing and optimizing the detection of the bedding interface based on the optimization technology, and obtained the result map of the electric imaging stratum occurrence picking and processing. According to the electric imaging stratum occurrence picking Process the result map to identify the stratum occurrence.

[0032] The estimation of the local direction of the polar plate image is: first preset several directions, then in a given local window, obtain the pixel points in the corresponding direction, and calculate the gray variance of all straight lines in...

Embodiment 2

[0048] Based on the measured micro-resistivity imaging logging data, the present invention first preprocesses the imaging logging dynamic images generated by the actual borehole and the instrument to reduce the influence of interference information on the regular bedding interface information and continuously The amount of interface information is expanded; then, edge-preserving smoothing filtering is performed on the preprocessed image to suppress the influence of crack information on the measurement; existing technical means are used here.

[0049] On this basis, the local direction estimation of the plate image based on the statistical technique, the sinusoidal curve fitting based on the tangent value, the fine detection and optimization of the bedding interface based on the optimization technique are carried out, and the stratum occurrence is identified in the processing results.

[0050] Specific steps are as follows:

[0051] (1) Estimation of the local direction of the pl...

Embodiment 3

[0071] A certain well in the Sichuan-Chongqing oil and gas field is selected as an example well. The stratum where the well is located is a shale gas stratum with well-developed bedding. The present invention is used to pick up the stratum occurrence of the well.

[0072] image 3 Picking and processing result map of FMI electrical imaging stratum occurrence in a certain well section, the distribution of bedding can be clearly seen. The first track is the depth and borehole diameter curve; the second track is the dynamic image generated after the preprocessing of the FMI electrical imaging logging data, and the stratum bedding picked up by the calculation method in this paper based on the dynamic image. It can be seen from the image that, There are 31 beddings at 2733.9-2735.9m. The third track is the true dip and true dip of the stratum obtained by applying the present invention based on the picked stratum bedding; the fourth track is the calculation of the bedding density p...

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Abstract

The invention discloses an electrical imaging logging image stratum attitude identification method. With the actually measured micro-resistivity imaging logging data acting as the basis, the generated imaging logging dynamic images are preprocessed, edge preserving smooth filtering is performed on the preprocessed images, and then pole plate image local direction estimation, sine curve fitting based on the tangent value and bedding interface detection fine processing and optimization processing based on the optimization technology are performed so that an electrical imaging stratum attitude pick-up processing result map is obtained, and the stratum attitude is identified according to the electrical imaging stratum attitude pick-up processing result map. A full-well-section stratum attitude automatic pick-up method is provided by applying the image processing related technology so that errors caused by artificial pick-up work can be avoided, and interpretation efficiency can also be enhanced.

Description

technical field [0001] The invention relates to a method for identifying formation occurrences of electrical imaging logging images, and belongs to the technical field of electrical imaging logging data applications. Background technique [0002] Electrical imaging logging is an advanced logging technology with high resolution. It can provide a wealth of information on the wellbore and around the wellbore. It can not only intuitively identify the stratigraphic boundaries, fractures and structural forms from the logging images qualitatively, but also quantitatively process and analyze the logging images through image processing methods. , to extract parameters such as stratigraphic interface and occurrence. [0003] Based on the image recognition method, the method of calculating the dip angle of the stratum by curve correlation is avoided, and it is easy to distinguish bedding planes from geological events such as fractures, sutures, and fault planes on the imaging map, the...

Claims

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Application Information

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IPC IPC(8): G01V3/38
Inventor 毛英雄罗利阳大祥刘海军李彦山
Owner CHINA NAT PETROLEUM CORP CHUANQING DRILLING ENG CO LTD
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