Well logging sandy conglomerate lithology fine evaluation method based on electric imaging

An evaluation method and electrical imaging technology, which are applied in the fields of electrical/magnetic detection, electrical/magnetic exploration, and radio wave measurement systems for logging records. Problems such as poor generalization ability, to achieve the effect of accurate results and reliable evaluation methods

Active Publication Date: 2020-01-21
CHINA PETROCHEMICAL CORP +4
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, the image segmentation method does not consider the wellbore coverage of electrical imaging, and does not process the blank strips of electrical imaging, resulting in inaccurate calculation

Method used

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  • Well logging sandy conglomerate lithology fine evaluation method based on electric imaging
  • Well logging sandy conglomerate lithology fine evaluation method based on electric imaging
  • Well logging sandy conglomerate lithology fine evaluation method based on electric imaging

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Embodiment Construction

[0025] The invention provides a method for finely evaluating the lithology of glutenite bodies based on electrical imaging. The evaluation method of the evaluation method is more reliable, and the calculated results are more accurate.

[0026] Such as figure 1 As shown, this kind of logging glutenite lithology fine evaluation method based on electrical imaging includes the following steps:

[0027] Step 1: Perform blank strip filling preprocessing on the two-dimensional static microresistivity scanning image;

[0028] For example, the preprocessing of blank band filling by using the morphological component analysis (MCA) algorithm based on signal sparse representation is described as an example. The specific implementation steps of the blank strip filling preprocessing based on the MCA algorithm are as follows:

[0029] (1), initialization:

[0030] Select the number of iterations N, the total variation regularization parameter γ, the end standard value Stop, the noise stan...

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Abstract

The invention belongs to the technical field of well logging in the petroleum exploration and development industry, and particularly relates to a well logging sandy conglomerate lithology fine evaluation method based on electric imaging. The evaluation method is more reliable in evaluation mode and more accurate in calculation result. The evaluation method comprises the following steps of carryingout blank strip filling preprocessing on a two-dimensional static micro-resistivity scanning image; carrying out edge detection on conglomerate particles in the image subjected to the filling preprocessing, and segmenting out the conglomerate particles from a background; according to geological deposition constraint conditions, carrying out region merging and splitting on the segmented conglomerate particles; and calculating a particle size spectrum and a lithology curve based on a sliding window and the particle size.

Description

technical field [0001] The invention belongs to the technical field of well logging in the petroleum exploration and development industry, and in particular relates to a method for finely evaluating the lithology of a well logging glutenite body based on electrical imaging. Background technique [0002] The exploration of glutenite reservoirs has become one of the main tasks of energy exploration. Glutenite bodies usually have strong heterogeneity in vertical and horizontal directions due to the particularity of their provenance and depositional process, and the lithofacies changes rapidly on the vertical section, and the reservoir lithology is complex. Conventional logging is difficult for reservoir lithology identification and division. [0003] Electrical imaging logging uses array electronic scanning technology to obtain two-dimensional images around the wellbore, and the description of the wellbore strata reaches a resolution of 0.2in, which can reflect the structure a...

Claims

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Application Information

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IPC IPC(8): G01V3/38G01V3/20
CPCG01V3/38G01V3/20
Inventor 邢强张晋
Owner CHINA PETROCHEMICAL CORP
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