CN110805434B - Complex stratum lithology identification method and system - Google Patents
Complex stratum lithology identification method and system Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G—PHYSICS
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
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Abstract
A complex stratum lithology identification method and system are disclosed. The method can comprise the following steps: selecting sensitive parameters of lithology logging according to the rock-electricity relationship of the stratum, and establishing a sensitive parameter relationship function; establishing a lithology identification model according to the sensitive parameter relation function; determining a baseline range of lithology of a plurality of templates of the stratum; and identifying unknown stratum lithology according to the lithology identification model and the baseline range of the lithology of the plurality of templates of the stratum. The lithology identification model is established by preferably selecting well logging sensitive parameters corresponding to different lithologies to perform mathematical relationship conversion, the lithology identification model is determined, the base line values of various lithologies are determined on the basis of core scale well logging information, and the base line values are used as screening conditions for identifying and dividing the lithology by the lithology identification model, so that the purpose of quantitatively and finely dividing the lithology is realized to a certain extent, the operation is simple and rapid, the reliability of lithology judgment results is high, and a reliable basis is provided for comprehensive evaluation of complex lithology strata.
Description
Technical Field
The invention relates to the technical field of petroleum geophysical exploration, in particular to a complex stratum lithology identification method and system.
Background
The lower two-fold system stratum has developed tumor, the lithology of the stratum is mainly composed of plaster limestone which forms a tumor structure with different plaster ratios, the lithology is complex and the heterogeneity is strong, the difference of the mineral components and the content of the plaster limestone with different plaster ratios is large, the structural characteristics of the same lithology rock are different, the rock types are various, and the lithology recognition of well logging is difficult.
At present, the common methods for identifying the lithology of the stratum by using logging information at home and abroad mainly comprise a logging curve overlapping method, a rendezvous chart method, a neural network method and the like. The application of these methods in the field of well logging lithology identification has been a great deal of research. For example, gao Songyang a lithology recognition chart is established by optimizing lithology sensitive parameters by adopting an intersection chart method under the scale of rock core data, and a rapid and practical automatic well logging lithology recognition method is established by extracting a typical chart and programming, so that the complexity of manual reading is avoided. But the method only has good identification effect on simpler lithology and is difficult to identify complex lithology; wang Xuebin, zhu Mangong, teng Tao and the like, wherein the complex lithology logging identification method and the application effect analysis are researched, the logging response characteristics of the main lithology in the research area are deeply contrasted and analyzed, the lithology is quantitatively identified by selecting a sample as a principle for identifying the lithology, and the contrast analysis shows that the correct identification rate of the neural network is relatively high. In addition, lu Xinwei and Jin Zhangdong can be used for identifying the lithology of a certain well logging in a victory oil field by using a BP neural network, fan Xunli and the like can be used for automatically identifying the lithology of the well logging in the TZ-4 well of the Tarim oil field by using the BP neural network, and the identification accuracy is high. However, since the BP network is a gradient descent optimization process, the conventional methods have limitations and disadvantages, are relatively complex to operate, have poor cross-region application effect, and are not suitable for lithology identification of complex strata.
The invention provides an angle parameter group for quantifying spider web images, and quantitatively judges the similarity of the spider web images by using the angle parameter group, thereby realizing the quantitative identification of the lithology of non-coring well sections. Dividing lithology types of a target layer through core sample analysis; through the correlation analysis of the well logging curve and the lithology of the rock sample, preferably selecting the well logging curve for identifying the lithology, manufacturing a spider web diagram template; utilizing the manufactured template, the logging curve and the core analysis data to manufacture a typical spider web diagram of each lithologic reservoir, and quantitatively judging the lithology of the depth point through similarity calculation of an angle parameter group and the angle parameter group of each lithologic typical spider web diagram; and judging the reservoir lithology point by point according to the depth sequence to obtain the lithology of the whole well section. The method solves the problems of complex response of logging of the same lithology and difficult identification of lithology caused by the difference of the debris content. But has poor applicability to the identification of stucco mudstone composed of different ratios of stucco to stucco in nodular formations.
The technical method for effectively identifying the complex lithologic stratum of the lower two-fold system nodular stratum mainly has the following problems: (1) Various lithologic mineral components of the complex stratum are different, the content difference is large, the structural characteristics of the same lithologic rock are different, and the lithologic identification of well logging is difficult; (2) In the prior art, typical lithology is only qualitatively judged, for example, a common intersection method and an overlap method only qualitatively judge conventional lithology with relatively simple mineral components, and lithology types of complex strata cannot be quickly, effectively and quantitatively and finely divided. Therefore, there is a need to develop a method and system for identifying lithology of complex strata.
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 complex stratum lithology identification method and system, which can be used as a screening condition for identifying and dividing lithology through a lithology identification model to achieve the purpose of quantitatively and finely dividing lithology, and are simple and rapid to operate and high in reliability of lithology judgment results.
According to one aspect of the invention, a complex formation lithology identification method is provided. The method may include: selecting sensitive parameters of lithology logging according to the rock-electricity relationship of the stratum, and establishing a sensitive parameter relationship function; establishing a lithology identification model according to the sensitive parameter relation function; determining a baseline range of lithology of a plurality of templates of the stratum; and identifying unknown stratum lithology according to the lithology identification model and the baseline range of the lithology of the plurality of templates of the stratum.
Preferably, according to the electrical relationship of the formation, selecting sensitive parameters of lithology logging as follows: and according to the electrical relation of the formation rock, utilizing spider diagram analysis to determine the sensitive parameters of two lithology logs with the best correlation with various lithologies in the conventional logging curve.
Preferably, the sensitive parameter relationship function is:
wherein, f (x) 1 ,x 2 ) As a function of the relation of the sensitive parameters, x 1 And x 2 Two sensitive parameters for lithology logging are provided.
Preferably, the lithology recognition model is:
wherein H is lithology identification index value, f (x) 1 ,x 2 ) M and n are respectively f (x) as a sensitive parameter relation function 1 ,x 2 ) Maximum value and minimum value of (c).
Preferably, identifying the unknown lithology of the formation according to the lithology identification model and the baseline range of the lithology of the various types of the formation comprises: and when the lithology identification index value of the unknown lithology is within the baseline range of the lithology of a certain type of template, identifying the unknown lithology as the lithology of the template.
According to another aspect of the present invention, there is provided a complex formation lithology identification system, comprising: a memory storing computer-executable instructions; a processor executing computer executable instructions in the memory to perform the steps of: selecting sensitive parameters of lithology logging according to the electrical relationship of the formation rock, and establishing a sensitive parameter relationship function; establishing a lithology identification model according to the sensitive parameter relation function; determining a baseline range of lithology of a plurality of templates of the stratum; and identifying unknown lithology of the stratum according to the lithology identification model and the baseline range of the lithology of the plurality of templates of the stratum.
Preferably, according to the electrical relationship of the formation, selecting sensitive parameters of lithology logging as follows: and according to the electrical relation of the stratum rock, analyzing and determining the sensitive parameters of two lithologic logs with the best correlation with various lithologic properties in the conventional logging curve by utilizing a spider diagram.
Preferably, the sensitive parameter relationship function is:
wherein, f (x) 1 ,x 2 ) As a function of the relation of the sensitive parameters, x 1 And x 2 Two sensitive parameters for lithology logging are provided.
Preferably, the lithology identification model is:
wherein H is lithology identification index value, f (x) 1 ,x 2 ) M and n are respectively f (x) as a sensitive parameter relation function 1 ,x 2 ) Maximum and minimum values of (c).
Preferably, identifying the unknown lithology of the formation according to the lithology identification model and the baseline range of the lithology of the various types of the formation comprises: and when the lithology identification index value of the unknown lithology is within the baseline range of the lithology of a certain type of template, identifying the unknown lithology as the lithology of the template.
The beneficial effects are that: the lithology recognition model is determined by preferably selecting well logging sensitive parameters corresponding to different lithologies to perform mathematical relationship conversion to establish a relationship, baseline values of various lithologies are determined on the basis of core scale logging information and are used as screening conditions for the lithology recognition model to recognize and divide the lithologies, so that the purpose of quantitatively and finely dividing the lithologies is achieved to a certain extent, the operation is simple and rapid, the reliability of lithology discrimination results is high, and a reliable basis is provided for comprehensive evaluation of complex lithology strata.
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 detail exemplary embodiments thereof with reference to the attached drawings, wherein like reference numerals generally represent like parts in the exemplary embodiments of the present invention.
Fig. 1 shows a flow chart of the steps of a complex formation lithology identification method according to the invention.
Fig. 2a, 2b, 2c, 2d, 2e, 2f show analytical spiders of the lithology sensitive parameters natural gamma, uranium-free gamma, neutron, density, sonic moveout, resistivity, respectively, according to an embodiment of the invention.
FIG. 3 shows a schematic diagram of results of lithology identification 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 illustrated in the accompanying drawings, it is to be understood that the 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 complex formation lithology identification method according to the invention.
In this embodiment, the complex formation lithology identification method according to the present invention may include: 101, selecting sensitive parameters of lithology logging according to the electrical relationship of the stratum rock, and establishing a sensitive parameter relationship function; step 102, establishing a lithology identification model according to the sensitive parameter relation function; 103, determining the base line ranges of the lithological characters of a plurality of templates of the stratum; and step 104, identifying the unknown lithology of the stratum according to the lithology identification model and the baseline range of the lithology of the plurality of templates of the stratum.
In one example, based on the electrical relationship of the formation, the sensitive parameters of the lithology log are selected as: and according to the electrical relation of the stratum rocks, analyzing and determining the sensitive parameters of two lithology logs with the best correlation with various lithologies in the conventional logging curve by utilizing a spider-web diagram.
In one example, the sensitive parameter relationship function is:
wherein, f (x) 1 ,x 2 ) As a function of the relation of the sensitive parameters, x 1 And x 2 Two sensitive parameters for lithology logging are respectively.
In one example, the lithology recognition model is:
wherein H is lithology identification index value, f (x) 1 ,x 2 ) M and n are respectively f (x) as a sensitive parameter relation function 1 ,x 2 ) Maximum value and minimum value of (c).
In one example, identifying unknown lithologies of the formation based on the lithology identification model and a baseline range of lithology types of the formation includes: and when the lithology identification index value of the unknown lithology is within the baseline range of the lithology of a certain type of template, identifying the unknown lithology as the lithology of the template.
Specifically, the complex stratum lithology identification method according to the invention can comprise the following steps:
and analyzing and counting the logging response characteristic values of the lithology of various templates of the stratum by using the conventional logging information of the core scales, determining the electrical relationship of the rock of the stratum, analyzing and determining the sensitive parameters of two lithology logs with the best lithology correlations with various templates in the conventional logging curve by using a spider graph according to the electrical relationship of the rock of the stratum, and establishing a sensitive parameter relationship function as a formula (1).
In order to reflect the relationship between the lithology and the sensitive parameters more objectively, normalization processing is performed on the sensitive parameter relationship function, and the obtained lithology identification model is a formula (2).
Determining a baseline range of lithologies for a plurality of templates of the formation, for example: a is to be 1 Lithology corresponds to x 1 、x 2 Substituting the curve value into the formula (2) to determine A 1 Base line minimum of lithology is a 1 ；A 2 The maximum and minimum base line values of lithology are respectively a 1 、a 2 ；A 3 The maximum and minimum base line values of lithology are respectively a 2 、a 3 (ii) a By analogy, A x The maximum and minimum base line values of lithology are respectively a x-1 、a x ，A x+1 The maximum base line value of lithology is a x 。
Corresponding unknown lithology to x 1 、x 2 Substituting the curve value into the formula (2), and when the lithology identification index value of the unknown lithology is within the baseline range of the lithology of a certain type of template, identifying the unknown lithology as the lithology of the template, for example: when H > a 1 Then, the unknown lithology is identified as A 1 Lithologic character, when a 2 <H<a 1 Then, the unknown lithology is identified as A 2 Lithologic character, when a 3 <H<a 2 Then, the unknown lithology is identified as A 3 Lithologic character, and so on, when a x <H<a x-1 Then, the unknown lithology is identified as A x Lithologic character, as H>a x Then, the unknown lithology is identified as A x+1 Lithology-like properties.
The method establishes a relationship by carrying out mathematical relationship conversion on the optimized well logging sensitive parameters corresponding to different lithologies, determines a lithology recognition model, determines the baseline values of various lithologies on the basis of core scale well logging information, and takes the baseline values as screening conditions for the lithology recognition model to recognize and divide the lithologies, thereby achieving the purpose of quantitatively and finely dividing the lithologies to a certain extent, being simple and rapid to operate, having high reliability of lithology discrimination results and providing reliable basis for comprehensive evaluation of complex lithology strata.
Application examples
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 appreciated by persons skilled in the art that this example is merely for the purpose of facilitating understanding of the invention, and that any specific details thereof are not intended to limit the invention in any way.
Taking the lithologic logging identification of a certain area coring well X-1 well Mao Yiduan nodular stratum as an example, firstly, lithologic logging data preprocessing is carried out, including environment correction, depth correction, standardization and the like on a lithologic logging curve. The method comprises the steps of analyzing and counting logging response characteristics corresponding to Mao Yiduan main lithologies by using rock core scale lithology logging information, determining a stratum lithology relation, and determining logging response characteristic values of various template lithologies, wherein in the table, AC represents neutron, DEN represents density, CNL represents acoustic time difference, and RD represents resistivity, as shown in table 1.
TABLE 1
Fig. 2a, 2b, 2c, 2d, 2e, 2f show analytical spiders of the lithology sensitive parameters natural gamma, uranium-free gamma, neutron, density, sonic moveout, resistivity, respectively, according to an embodiment of the invention.
According to the electrical relationship of the stratum rock, spider-web graph analysis is utilized to determine two sensitive parameters of the two lithology logging with the best lithology correlation with various templates in a conventional logging curve, as shown in figures 2a-2f, in the conventional logging parameters, the spider-web graph roundness corresponding to natural gamma, density, acoustic time difference and resistivity is good, the logging response reflecting various lithologies is stable, the two logging parameters with the best roundness, namely the acoustic time difference and the resistivity value are selected as the sensitive parameters, meanwhile, the acoustic time difference and the resistivity value can distinguish four main lithologies, the lithology logging values of various types have no or less cross before and reflect the lithology sensitivity of the lithology and the stratum, and therefore, the acoustic time difference and the resistivity are used as stratum lithology sensitive logging parameters of Mao Yiduan.
Mao Yiduan formation is characterized by high acoustic wave and low resistance between main lithology and sensitive logging parameters, and the higher the shale content of the rock, the higher the acoustic wave time difference value corresponding to the rock, and the lower the resistivity value, so that the method can consider establishing a sensitive parameter relation function by adopting the ratio of the acoustic wave time difference to the resistivity:
in the formula, f (delta t, rt) is an acoustoelectric ratio, and delta t and Rt are a sonic time difference logging value and a resistivity logging value respectively. The sensitivity parameter relation function not only amplifies the sensitivity of the electrical property and the lithology, but also offsets the influence of objective factors on a logging curve to a certain extent, and can better reflect the change of the lithology.
Carrying out normalization processing according to the sensitive parameter relation function to obtain a lithology identification model, namely substituting a formula (3) into a formula (2) to obtain a formula (4):
the base line values of the main lithological characters of the Mao Yiduan stratum in the research area are respectively determined to be 0.9, 0.5 and 0.1. Namely, the minimum value of the base line of the plaster limestone is 0.9, the base line of the nodular plaster limestone is 0.5 to 0.9, and the base line of the lithologic character of the nodular marbled limestone is 0.1 to 0.5.
FIG. 3 shows a schematic diagram of results of lithology identification according to one embodiment of the invention.
Determining m and n as 1 and-1 respectively, applying formula (4), identifying and dividing the lithology of the property Mao Yiduan of this example, when H > 0.9, dividing into stucco limestone, when 0.5-H-Ap-0.9, dividing into nodule stucco limestone, when 0.1-H-Ap-0.5, dividing into nodule stucco limestone, when H <0.1, dividing into marl limestone, as shown in FIG. 3, wherein black represents stucco limestone, dark gray represents stucco limestone, light gray represents stucco limestone, white represents marl limestone, and the result has high compatibility with coring lithology.
In conclusion, the invention establishes the relationship by preferably selecting the well logging sensitive parameters corresponding to different lithologies to perform mathematical relationship conversion, determines the lithology recognition model, determines the base line values of various lithologies on the basis of the core scale well logging information, and is used as the screening condition for recognizing and dividing the lithology by the lithology recognition model, thereby realizing the purpose of quantitatively and finely dividing the lithology to a certain extent, having simple and rapid operation and high reliability of lithology judgment results, and providing a reliable basis for comprehensive evaluation of complex lithology strata.
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 complex stratum lithology identification system comprises the following components: a memory storing computer-executable instructions; a processor executing computer executable instructions in the memory to perform the steps of: selecting sensitive parameters of lithology logging according to the electrical relationship of the formation rock, and establishing a sensitive parameter relationship function; establishing a lithology identification model according to the sensitive parameter relation function; determining a baseline range of lithology of a plurality of templates of the stratum; and identifying unknown lithology of the stratum according to the lithology identification model and the baseline range of the lithology of the plurality of templates of the stratum.
In one example, based on the formation electrical relationships, sensitive parameters for lithological logging are selected as: and according to the electrical relation of the stratum rock, analyzing and determining the sensitive parameters of two lithologic logs with the best correlation with various lithologic properties in the conventional logging curve by utilizing a spider diagram.
In one example, the sensitive parameter relationship function is:
wherein, f (x) 1 ,x 2 ) As a function of the relation of the sensitive parameters, x 1 And x 2 Two sensitive parameters for lithology logging are provided.
In one example, the lithology recognition model is:
wherein H is lithology identification index value, f (x) 1 ,x 2 ) M and n are respectively f (x) as a sensitive parameter relation function 1 ,x 2 ) Maximum and minimum values of (c).
In one example, identifying unknown lithologies of the formation based on the lithology identification model and a baseline range of lithology types of the formation includes: and when the lithology identification index value of the unknown lithology is within the baseline range of the lithology of a certain type of template, identifying the unknown lithology as the lithology of the template.
The system establishes a relationship by carrying out mathematical relationship conversion on the optimized logging sensitive parameters corresponding to different lithologies, determines a lithology recognition model, determines the base line values of various lithologies on the basis of core scale logging information, and takes the base line values as screening conditions for the lithology recognition model to recognize and divide the lithologies, thereby achieving the purpose of quantitatively and finely dividing the lithologies to a certain extent, being simple and rapid to operate, having high reliability of lithology discrimination results and providing reliable basis for comprehensive evaluation of complex lithology strata.
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.
Claims (8)
1. A complex stratum lithology identification method is characterized by comprising the following steps:
selecting sensitive parameters of lithology logging according to the rock-electricity relationship of the stratum, and establishing a sensitive parameter relationship function;
establishing a lithology identification model according to the sensitive parameter relation function;
determining a baseline range of lithology of a plurality of templates of the stratum;
identifying unknown stratum lithology according to the lithology identification model and the baseline range of the lithology of the plurality of templates of the stratum;
wherein the sensitive parameter relationship function is:
wherein, f (x) 1 ,x 2 ) As a function of the relation of the sensitive parameters, x 1 And x 2 Two sensitive parameters for lithology logging are respectively.
2. The complex formation lithology identification method of claim 1, wherein the sensitive parameters of the lithology log are selected according to the formation lithoelectric relationship as follows:
and according to the electrical relation of the formation rock, utilizing spider diagram analysis to determine the sensitive parameters of two lithology logs with the best correlation with various lithologies in the conventional logging curve.
3. The complex formation lithology identification method of claim 1, wherein the lithology identification model is:
wherein H is lithology identification index value, f (x) 1 ,x 2 ) M and n are respectively f (x) as a sensitive parameter relation function 1 ,x 2 ) Maximum and minimum values of (c).
4. The complex formation lithology identification method of claim 3, wherein identifying unknown formation lithology from the lithology identification model and a baseline range of a plurality of template lithologies for the formation comprises:
and when the lithology identification index value of the unknown lithology is within the baseline range of the lithology of a certain type of template, identifying the unknown lithology as the lithology of the template.
5. A complex formation lithology identification system, the system comprising:
a memory storing computer executable instructions;
a processor executing computer executable instructions in the memory to perform the steps of:
selecting sensitive parameters of lithology logging according to the rock-electricity relationship of the stratum, and establishing a sensitive parameter relationship function;
establishing a lithology identification model according to the sensitive parameter relation function;
determining a baseline range of lithology of a plurality of templates of the stratum;
identifying unknown stratum lithology according to the lithology identification model and the baseline range of the lithology of the plurality of templates of the stratum;
wherein the sensitive parameter relationship function is:
wherein, f (x) 1 ,x 2 ) As a function of the relation of the sensitive parameters, x 1 And x 2 Two sensitive parameters for lithology logging are respectively.
6. The complex formation lithology identification system of claim 5, wherein sensitive parameters of lithology logging are selected based on the formation lithoelectric relationship as:
and according to the electrical relation of the formation rock, utilizing spider diagram analysis to determine the sensitive parameters of two lithology logs with the best correlation with various lithologies in the conventional logging curve.
7. The complex formation lithology identification system of claim 5, wherein the lithology identification model is:
wherein H is lithology identification index value, f (x) 1 ,x 2 ) M and n are respectively f (x) as a sensitive parameter relation function 1 ,x 2 ) Maximum and minimum values of (c).
8. The complex formation lithology identification system of claim 7, wherein identifying unknown formation lithology from the lithology identification model and a baseline range of the plurality of template lithologies for the formation comprises:
and when the lithology identification index value of the unknown lithology is within the baseline range of the lithology of a certain type of template, identifying the unknown lithology as the lithology of the template.
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