Deposition rate estimation-based delta sedimentary microfacies quantitative division method

A deposition rate and deposition microphase technology, applied in computing, complex mathematical operations, computer components, etc., can solve the problems of small number of training samples, weak model generalization ability, large workload, etc. Effects of human intervention and workload

Active Publication Date: 2022-03-18
SHANDONG UNIV OF SCI & TECH
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Problems solved by technology

[0002] The identification and division of delta sedimentary microfacies is the basis and key work for the development of applied sedimentology research, energy exploration and prediction. The knowledge of sedimentary microfacies provides the data basis. The identification and division of sedimentary microfacies based on well logging data in the early days was mainly qualitative interpretation analysis, that is, the amplitude, shape, and smoothness of the logging curves were analyzed, combined with lithology and mineral composition. The accuracy of artificial identification of geological information such as geological information is affected and limited by the subjectivity and experience of the staff. Modern informat

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  • Deposition rate estimation-based delta sedimentary microfacies quantitative division method
  • Deposition rate estimation-based delta sedimentary microfacies quantitative division method
  • Deposition rate estimation-based delta sedimentary microfacies quantitative division method

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Embodiment

[0030] In this embodiment, the quantitative division of delta sedimentary microfacies based on sedimentation rate estimation includes the following steps:

[0031] Step S1: collecting formation natural gamma ray (GR) logging data;

[0032] Step S2: data preprocessing, resampling, removing outliers, de-averaging, de-trending, and pre-whitening the formation logging data sequence in step S1, so as to eliminate various environmental "noises" in the formation data as much as possible;

[0033] Step S3: Estimation of formation deposition rate based on eCOCO. This step includes three links: correlation evaluation, astronomical driving test, and statistics of the number of contributing astronomical (periodic) parameters. Among them, the correlation coefficient evaluation is to calculate a (to be tested) The correlation coefficient between the stratigraphic time series at the deposition rate and the astronomical target sequence; the astronomical drive test is to test whether there is ...

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Abstract

The invention belongs to the technical field of sedimentary microfacies division, and relates to a delta sedimentary microfacies quantitative division method based on sedimentary rate estimation, which comprises the following steps of: acquiring a sedimentary rate curve of a stratigraphic section by utilizing a Milankovitch cycle time sequence analysis method on the basis of easily obtained logging data; the method is simple, convenient and rapid, human intervention and workload can be effectively reduced, and a new way is provided for delta sedimentary microfacies division.

Description

technical field [0001] The invention belongs to the technical field of sedimentary microfacies division, and relates to a quantitative division method of delta sedimentary microfacies based on sedimentation rate estimation. Background technique [0002] The identification and division of delta sedimentary microfacies is the basis and key work for the development of applied sedimentology research, energy exploration and prediction. The knowledge of sedimentary microfacies provides the data basis. The identification and division of sedimentary microfacies based on well logging data in the early days was mainly qualitative interpretation analysis, that is, the amplitude, shape, and smoothness of the logging curves were analyzed, combined with lithology and mineral composition. The accuracy of artificial identification of geological information such as geological information is affected and limited by the subjectivity and experience of the staff. Modern information technology pr...

Claims

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Application Information

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IPC IPC(8): G01V11/00G06F17/10G06F17/18G06K9/00
CPCG01V11/00G06F17/10G06F17/18G06F2218/00Y02A90/10
Inventor 宋翠玉吕大炜张之辉王东东刘海燕
Owner SHANDONG UNIV OF SCI & TECH
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