Method and system for identifying complex lithology based on logging information
阅读说明：本技术 基于测井资料识别复杂岩性的方法及系统 (Method and system for identifying complex lithology based on logging information ) 是由 胡东风 郭旭升 王燕 石文斌 王威 雷有为 付小平 王明筏 于 2018-08-06 设计创作，主要内容包括：公开了一种基于测井资料识别复杂岩性的方法及系统。该方法可以包括：根据岩心资料与测井资料,确定模板岩性的多个测井特征值,进而确定模板岩性每个测井特征值的最小值和最大值；对模板岩性每个测井特征值的最小值和最大值进行标准化,获得标准化后的模板岩性测井特征值的最小值和最大值；在同一图版内,分别绘制标准化后的模板岩性测井特征值的最小值和最大值的特征图形,获得岩性识别图版；将标椎化后的未知岩性的测井特征值投影到岩性识别图版上,识别岩性。本发明通过岩心资料刻度测井资料,确定岩性的测井响应特征值范围,进而绘制识别图版,识别岩性,应用测井资料,简单快捷,大幅提高勘探开发的经济效益。(A method and system for identifying complex lithology based on well log data is disclosed. The method can comprise the following steps: determining a plurality of logging characteristic values of the lithology of the template according to the rock core data and the logging data, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template; standardizing the minimum value and the maximum value of each logging characteristic value of the lithology of the template to obtain the minimum value and the maximum value of the standardized logging characteristic values of the lithology of the template; respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate; and projecting the logging characteristic value of the marked and tapered unknown lithology onto a lithology identification plate to identify the lithology. According to the invention, the logging response characteristic value range of lithology is determined through the core data scale logging data, so that the identification chart is drawn, the lithology is identified, the logging data is applied, the method is simple and rapid, and the economic benefit of exploration and development is greatly improved.)
1. A method for identifying complex lithology based on well log data, comprising:
determining a plurality of logging characteristic values of the lithology of the template according to the rock core data and the logging data, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template;
standardizing the minimum value and the maximum value of each logging characteristic value of the lithology of the template to obtain the minimum value and the maximum value of the standardized logging characteristic values of the lithology of the template;
respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate;
and projecting the logging characteristic value of the marked and tapered unknown lithology onto the lithology identification plate to identify the lithology.
2. The method for identifying complex lithology based on well logs of claim 1, wherein determining the minimum and maximum values for each well log feature value of the template lithology includes:
analyzing the rock core data and the logging data, and determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template by utilizing the rock core data to scale the logging data.
3. The method for identifying complex lithology based on well logs of claim 1, wherein the minimum and maximum values of each well log feature value of the lithology of the template are Z-score normalized.
4. The method for identifying complex lithology based on well logs as claimed in claim 3, wherein the minimum and maximum values of each well log feature value of the template lithology are Z-score normalized by equation (1):
wherein, X*The standard deviation is the minimum value or the maximum value of the normalized lithology logging characteristic values, X is the minimum value or the maximum value of the lithology logging characteristic values, mu is the mean value of the lithology logging characteristic values, and sigma is the standard deviation of the lithology logging characteristic values.
5. The method for identifying complex lithology based on well log data of claim 1, wherein the well log feature values of the normalized unknown lithology are projected onto the lithology identification plate, and the lithology identification is as follows:
and if the normalized logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized logging characteristic value of the template lithology, identifying the unknown lithology as the template lithology.
6. The method for identifying complex lithology based on well logs of claim 1, further comprising:
and if the minimum value and the maximum value of the normalized logging characteristic value of the unknown lithology and each logging characteristic value of the template lithology both accord with a formula (2), identifying the unknown lithology as the template lithology, wherein the formula (2) is as follows:
wherein, Yi *For normalized logging eigenvalues of unknown lithology,
7. The method for identifying complex lithology based on well logs of claim 6, wherein the number of well log feature values is greater than 5.
8. A system for identifying complex lithology based on well log data, the system comprising:
a memory storing computer-executable instructions;
a processor executing computer executable instructions in the memory to perform the steps of:
determining a plurality of logging characteristic values of the lithology of the template according to the rock core data and the logging data, and further determining the minimum value and the maximum value of the lithology logging characteristic values of each template;
standardizing the minimum value and the maximum value of each logging characteristic value of the lithology of the template to obtain the minimum value and the maximum value of each logging characteristic value of the lithology of the standardized template;
respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate;
and projecting the standardized logging characteristic value of the unknown lithology onto the lithology identification chart to identify the lithology.
9. The system for identifying complex lithology based on well log data of claim 8, wherein the well log feature values of the normalized unknown lithology are projected onto the lithology identification plate, and the lithology identification is performed by:
and if the normalized logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized logging characteristic value of the template lithology, identifying the unknown lithology as the template lithology.
10. The system for identifying complex lithology based on well logs of claim 8, further comprising:
and if the minimum value and the maximum value of the normalized logging characteristic value of the unknown lithology and each logging characteristic value of the template lithology both accord with a formula (2), identifying the unknown lithology as the template lithology, wherein the formula (2) is as follows:
wherein, Yi *For normalized logging eigenvalues of unknown lithology,
Technical Field
The invention relates to the field of petroleum and natural gas earth exploration, in particular to a method and a system for identifying complex lithology based on logging information.
Background
The most effective and direct method for identifying lithology is core analysis, but the coring cost is high, meanwhile, the lithology of strata has great difference in different layers in different regions, and a lithology identification chart with regional characteristics needs to be established aiming at a research area, so that the idea and the method for identifying complex lithology by using logging information are found, and the exploration and development efficiency of the method can be greatly improved.
At present, most methods for identifying lithology at home and abroad are provided, and Zhaoni, Liu-Aijiang and Li-Rui refer to lithology division by a radar map analysis method, but the method does not carry out standardized processing on logging data and can not eliminate the influence of different dimensions and dimension units among the logging data; a facies-lithofacies cobweb mode library is established by the aid of the method, but only a single logging characteristic value of a certain lithology is drawn, but a range of the logging characteristic value of the lithology is not given, and the method has limitation in practical application. The method for quantitatively identifying the lithology of the well logging by using the improved spider-web diagram can identify the lithology by drawing the spider-web diagram, but does not standardize well logging data and can not eliminate the influence of different dimensions and dimension units among the well logging data; the method for identifying the lithologic well logging facies displays a plurality of well logging curves in the same standard in a radar map mode to identify the lithologic property, but does not provide the well logging characteristic value range of the lithologic property, and has certain limitation in practical application.
At present, aiming at the problems that coring cost is high in the process of lithology identification, lithology identification charts with regional characteristics need to be established in different research areas, a set of simple and rapid thought and method for identifying complex lithology cannot be established, and the following problems are considered to mainly exist by combining the recognition on the existing geology and well logging:
(1) when the characteristic value of lithology logging is processed, the prior art does not carry out standardized processing on logging data and cannot eliminate the influence of different dimensions and dimension units among the logging data;
(2) in the prior art, when a lithology identification chart is drawn, only a single logging characteristic value of lithology is drawn, but a logging characteristic value range of lithology is not given, so that certain limitation exists in practical application. Therefore, there is a need to develop a method and system for identifying complex lithology based on well log data.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention provides a method and a system for identifying complex lithology based on logging information, which can draw an identification chart by determining a logging response characteristic value range of the lithology, identify the lithology simply and quickly and greatly improve the economic benefit of exploration and development.
According to one aspect of the invention, a method for identifying complex lithology based on well log data is provided. The method may include: determining a plurality of logging characteristic values of the lithology of the template according to the rock core data and the logging data, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template; standardizing the minimum value and the maximum value of each logging characteristic value of the lithology of the template to obtain the minimum value and the maximum value of the standardized logging characteristic values of the lithology of the template; respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate; and projecting the logging characteristic value of the marked and tapered unknown lithology onto the lithology identification plate to identify the lithology.
Preferably, determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template comprises: analyzing the rock core data and the logging data, and determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template by utilizing the rock core data to scale the logging data.
Preferably, the minimum and maximum values of each log characteristic of the lithology of the template are Z-score normalized.
Preferably, the minimum and maximum values of each log characteristic of the lithology of the template are Z-score normalized by equation (1):
wherein, X*The standard deviation is the minimum value or the maximum value of the normalized lithology logging characteristic values, X is the minimum value or the maximum value of the lithology logging characteristic values, mu is the mean value of the lithology logging characteristic values, and sigma is the standard deviation of the lithology logging characteristic values.
Preferably, the normalized logging characteristic value of the unknown lithology is projected on the lithology identification plate, and the lithology identification plate is as follows: and if the normalized logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized logging characteristic value of the template lithology, identifying the unknown lithology as the template lithology.
Preferably, the method further comprises the following steps: and if the minimum value and the maximum value of the normalized logging characteristic value of the unknown lithology and each logging characteristic value of the template lithology both accord with a formula (2), identifying the unknown lithology as the template lithology, wherein the formula (2) is as follows:
wherein, Yi *For normalized logging eigenvalues of unknown lithology,
Preferably, the number of logging characteristic values is greater than 5.
According to another aspect of the present invention, a system for identifying complex lithology based on well log data is provided, the system comprising: a memory storing computer-executable instructions; a processor executing computer executable instructions in the memory to perform the steps of: determining a plurality of logging characteristic values of the lithology of the template according to the rock core data and the logging data, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template; standardizing the minimum value and the maximum value of each logging characteristic value of the lithology of the template to obtain the minimum value and the maximum value of the standardized logging characteristic values of the lithology of the template; respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate; and projecting the logging characteristic value of the marked and tapered unknown lithology onto the lithology identification plate to identify the lithology.
Preferably, determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template comprises: analyzing the rock core data and the logging data, and determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template by utilizing the rock core data to scale the logging data.
Preferably, the minimum and maximum values of each log characteristic of the lithology of the template are Z-score normalized.
Preferably, the minimum and maximum values of each log characteristic of the lithology of the template are Z-score normalized by equation (1):
wherein, X*The minimum value or the maximum value of the normalized lithology logging characteristic value,x is the minimum value or the maximum value of the lithology logging characteristic values, mu is the mean value of the lithology logging characteristic values, and sigma is the standard deviation of the lithology logging characteristic values.
Preferably, the normalized logging characteristic value of the unknown lithology is projected on the lithology identification plate, and the lithology identification plate is as follows: and if the normalized logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized logging characteristic value of the template lithology, identifying the unknown lithology as the template lithology.
Preferably, the method further comprises the following steps: and if the minimum value and the maximum value of the normalized logging characteristic value of the unknown lithology and each logging characteristic value of the template lithology both accord with a formula (2), identifying the unknown lithology as the template lithology, wherein the formula (2) is as follows:
wherein, Yi *For normalized logging eigenvalues of unknown lithology,
Preferably, the number of logging characteristic values is greater than 5.
The beneficial effects are that: the logging response characteristic value range of lithology is determined through core data scale logging data, and then an identification chart is drawn, the lithology is identified, the logging data are applied, the method is simple and rapid, and the economic benefit of exploration and development is greatly improved.
The present invention has other features and advantages which will be apparent from or are set forth in detail in the accompanying drawings and the following detailed description, which are incorporated herein, and which together serve to explain certain principles of the invention.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts.
FIG. 1 shows a flow chart of the steps of a method of identifying complex lithology based on well log data in accordance with the present invention.
FIG. 2 shows a schematic diagram of a lithology identification plate according to one embodiment of the invention.
Detailed Description
The invention will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
FIG. 1 shows a flow chart of the steps of a method of identifying complex lithology based on well log data in accordance with the present invention.
In this embodiment, the method for identifying complex lithology based on well log data according to the present invention may include:
Determining a plurality of logging characteristic values of the lithology of the template according to the rock core data and the logging data, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template; standardizing the minimum value and the maximum value of each logging characteristic value of the lithology of the template to obtain the minimum value and the maximum value of the standardized logging characteristic values of the lithology of the template; respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate; and projecting the logging characteristic value of the marked and tapered unknown lithology onto a lithology identification plate to identify the lithology.
In one example, determining the minimum and maximum values for each log feature value of the template lithology comprises: and analyzing the rock core data and the logging data, and determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template by utilizing the calibration logging data of the rock core data.
In one example, the minimum and maximum values of each log feature value of the lithology of the template are Z-score normalized.
In one example, the minimum and maximum values of each log feature value of the lithology are Z-score normalized by equation (1):
wherein, X*The standard deviation is the minimum value or the maximum value of the normalized lithology logging characteristic values, X is the minimum value or the maximum value of the lithology logging characteristic values, mu is the mean value of the lithology logging characteristic values, and sigma is the standard deviation of the lithology logging characteristic values.
In one example, the normalized well log feature values of unknown lithology are projected onto a lithology identification plate, and the lithology identification is as follows: and if the normalized logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized logging characteristic value of the template lithology, identifying the unknown lithology as the template lithology.
In one example, further comprising: and if the minimum value and the maximum value of the normalized logging characteristic value of the unknown lithology and each logging characteristic value of the template lithology both accord with a formula (2), identifying the unknown lithology as the template lithology, wherein the formula (2) is as follows:
wherein, Yi *For normalized logging eigenvalues of unknown lithology,
In one example, the number of log feature values is greater than 5.
Specifically, the method for identifying complex lithology based on logging information according to the invention can comprise the following steps: analyzing the rock core data and the logging data, determining a plurality of logging characteristic values of the lithology of the template by utilizing the calibration logging data of the rock core data, wherein the number of the logging characteristic values is more than 5, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template; carrying out Z-score standardization on the minimum value and the maximum value of the template lithology logging characteristic value through a formula (1) to obtain the minimum value and the maximum value of the standardized template lithology logging characteristic value, wherein the standardized data conform to standard normal distribution, namely the mean value is 0 and the standard deviation is 1; respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a multi-parameter lithology identification plate; projecting the logging characteristic value of unknown lithology onto a multi-parameter lithology identification plate, identifying the lithology: if the logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized template lithology logging characteristic value, the unknown lithology is identified as the template lithology, and if the deviation degree of the logging characteristic value of the unknown lithology and the maximum value and the minimum value of the logging characteristic value of the known lithology is less than or equal to 1%, the deviation degree accords with the formula (2), and the lithology can still be identified.
According to the method, the logging response characteristic value range of the lithology is determined through the core data scale logging data, the identification chart is drawn, the lithology is identified, the logging data are applied, simplicity and rapidness are achieved, and the economic benefit of exploration and development is greatly improved.
Application example
To facilitate understanding of the solution of the embodiments of the present invention and the effects thereof, a specific application example is given below. It will be understood by those skilled in the art that this example is merely for the purpose of facilitating an understanding of the present invention and that any specific details thereof are not intended to limit the invention in any way.
FIG. 2 shows a schematic diagram of a lithology identification plate according to one embodiment of the invention.
The method for identifying the complex lithology based on the logging information can comprise the following steps: analyzing the rock core data and the logging data, determining 8 logging characteristic values of the lithology of the template as logging characteristic values of natural gamma, uranium-free gamma, neutron, density, sound wave, uranium, thorium and potassium by utilizing the rock core data scale logging data, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template; carrying out Z-score standardization on the minimum value and the maximum value of the template lithology logging characteristic value through a formula (1) to obtain the minimum value and the maximum value of the standardized template lithology logging characteristic value, wherein the standardized data conform to standard normal distribution, namely the mean value is 0 and the standard deviation is 1; respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate; projecting the standardized logging characteristic value of unknown lithology onto a lithology identification plate, and identifying the lithology: and if the normalized logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized logging characteristic value of the template lithology, identifying the unknown lithology as the template lithology, as shown in FIG. 2.
In conclusion, the invention determines the logging response characteristic value range of lithology through the core data scale logging data, further draws the identification chart, identifies lithology, applies logging data, is simple and fast, and greatly improves the economic benefit of exploration and development.
It will be appreciated by persons skilled in the art that the above description of embodiments of the invention is intended only to illustrate the benefits of embodiments of the invention and is not intended to limit embodiments of the invention to any examples given.
The system for identifying complex lithology based on logging information is characterized by comprising the following components: a memory storing computer-executable instructions; a processor executing computer executable instructions in the memory to perform the steps of: determining a plurality of logging characteristic values of the lithology of the template according to the rock core data and the logging data, and further determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template; standardizing the minimum value and the maximum value of each logging characteristic value of the lithology of the template to obtain the minimum value and the maximum value of the standardized logging characteristic values of the lithology of the template; respectively drawing characteristic graphs of the minimum value and the maximum value of the standardized lithology logging characteristic values of the template in the same plate to obtain a lithology identification plate; and projecting the logging characteristic value of the marked and tapered unknown lithology onto a lithology identification plate to identify the lithology.
In one example, determining the minimum and maximum values for each log feature value of the template lithology comprises: and analyzing the rock core data and the logging data, and determining the minimum value and the maximum value of each logging characteristic value of the lithology of the template by utilizing the calibration logging data of the rock core data.
In one example, the minimum and maximum values of each log feature value of the lithology of the template are Z-score normalized.
In one example, the minimum and maximum values of each log feature value of the lithology are Z-score normalized by equation (1):
wherein, X*The standard deviation is the minimum value or the maximum value of the normalized lithology logging characteristic values, X is the minimum value or the maximum value of the lithology logging characteristic values, mu is the mean value of the lithology logging characteristic values, and sigma is the standard deviation of the lithology logging characteristic values.
In one example, the normalized well log feature values of unknown lithology are projected onto a lithology identification plate, and the lithology identification is as follows: and if the normalized logging characteristic value of the unknown lithology is in the characteristic graph of the minimum value and the maximum value of the normalized logging characteristic value of the template lithology, identifying the unknown lithology as the template lithology.
In one example, further comprising: and if the minimum value and the maximum value of the normalized logging characteristic value of the unknown lithology and each logging characteristic value of the template lithology both accord with a formula (2), identifying the unknown lithology as the template lithology, wherein the formula (2) is as follows:
wherein, Yi *For normalized logging eigenvalues of unknown lithology,
In one example, the number of log feature values is greater than 5.
The system determines the logging response characteristic value range of lithology through the core data scale logging data, further draws an identification chart, identifies the lithology, applies the logging data, is simple and rapid, and greatly improves the economic benefit of exploration and development.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
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