CN107862107B - Method and device for quickly explaining oil reservoir geological parameters based on logging model library - Google Patents

Method and device for quickly explaining oil reservoir geological parameters based on logging model library Download PDF

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CN107862107B
CN107862107B CN201710944506.1A CN201710944506A CN107862107B CN 107862107 B CN107862107 B CN 107862107B CN 201710944506 A CN201710944506 A CN 201710944506A CN 107862107 B CN107862107 B CN 107862107B
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geological
parameter
explanation
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CN107862107A (en
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刘建涛
卞法敏
靳彩霞
赵蕾
姜兴兴
曹裕民
李强
张林凤
张明安
冯金忠
杨河山
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China Petroleum and Chemical Corp
Exploration and Development Research Institute of Sinopec Shengli Oilfield Co
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China Petroleum and Chemical Corp
Exploration and Development Research Institute of Sinopec Shengli Oilfield Co
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Abstract

The invention provides a method and a device for quickly explaining oil reservoir geological parameters based on a logging model library, wherein the method for quickly explaining the oil reservoir geological parameters based on the logging model library comprises the following steps: step 1, loading an explanation work area; step 2, setting an explanation well and an explanation layer; step 3, selecting an explanation mode; step 4, fast and automatic explanation is carried out; step 5, displaying an explanation result; and 6, counting and outputting the interpretation result. The method and the device for quickly explaining the oil reservoir geological parameters based on the logging model library can quickly, accurately and automatically explain the oil reservoir geological parameters by calling the regional explanation model of the model library.

Description

Method and device for quickly explaining oil reservoir geological parameters based on logging model library
Technical Field
The invention relates to the technical field of oil field logging interpretation, in particular to a method and a device for quickly interpreting oil reservoir geological parameters based on a logging model library.
Background
The well logging fine interpretation is an important technical means for fine reservoir description and reserve evaluation calculation and is also a key for acquiring geological modeling parameters. At present, commercial software has the defects that data cannot be directly connected and the like, and the established interpretation model is scattered in the hands of researchers and is difficult to effectively recycle; meanwhile, the workload of the researchers for well logging fine interpretation is large, and time and labor are wasted. Therefore, a novel method and a device for quickly explaining the geological parameters of the oil reservoir based on a logging model library are invented, and the technical problems are solved.
Disclosure of Invention
The invention aims to provide a logging model library-based method and a logging model library-based device for quickly explaining reservoir geological parameters, which are used for establishing a logging model library and realizing effective management and quick application of an explanation model.
The object of the invention can be achieved by the following technical measures: the method for quickly explaining the oil reservoir geological parameters based on the logging model library comprises the following steps: step 1, loading an explanation work area; step 2, setting an explanation well and an explanation layer; step 3, selecting an explanation mode; step 4, fast and automatic explanation is carried out; step 5, displaying an explanation result; and 6, counting and outputting the interpretation result.
The object of the invention can also be achieved by the following technical measures:
the method for rapidly explaining the geological parameters of the oil reservoir based on the logging model library further comprises the step 1 of alternately selecting wells by software to establish an explanation work area.
In step 2, all intervals encountered by the well in the loading work area are selected and set to be target explanation intervals.
In step 3, a formula editor is adopted for standard input, a character string formula is automatically analyzed, an interpretation model is rapidly inquired, multi-factor comprehensive optimization is carried out, and a formula is automatically fitted to data to select an interpretation mode.
In step 3, when the interpretation method is selected, four interpretation methods are provided: and inquiring and calling, customizing an input interpretation model, borrowing analogy and automatically fitting and generating, and selecting and setting by a user according to the geological characteristics of an interpretation block.
In step 4, a reflection programming technology is adopted to convert the character string formula into a function formula, so that rapid batch interpretation from well to well point is realized.
In step 4, the interpretation model of the target oil field and the interval in the interpretation model library is queried, and if the interpretation model exists, the interpretation model is directly called by adopting a query calling method.
In step 4, if the interpretation model base does not have the interpretation model of the target oil field and the interval, inquiring a basic database and judging whether core data are rich or not; if the core data is rich, an automatic fitting generation method is adopted, data is preprocessed firstly, then the core is reset, and finally automatic fitting is carried out.
In step 4, if the core data is not abundant, the analogy borrowing method is adopted for analogy borrowing.
In step 4, if no suitable borrowing model exists, the custom input method custom sets an interpretation formula.
In step 5, visually displaying the interpretation result on the logging comprehensive graph; the interpretation results include geological parameters of reservoir shale content, porosity, permeability, water/oil saturation.
In step 6, the explained well point results are statistically calculated according to an average weighting algorithm or a thickness weighting algorithm to obtain the explained parameters of the interval, and the explained parameters are respectively output.
The object of the invention can also be achieved by the following technical measures: the device comprises an explanation preparation module, a geological parameter explanation module, a parameter display module and an explanation result statistics output module, wherein the explanation preparation module loads an explanation work area, sets an explanation well and a layer and selects an explanation mode; the geological parameter interpretation module is connected with the interpretation preparation module for automatic interpretation; the parameter display module is connected with the geological parameter interpretation module and displays the interpretation result; the interpretation result statistic output module is connected with the parameter display module and used for carrying out statistics and output on interpretation results.
The object of the invention can also be achieved by the following technical measures:
after the interpretation preparation module loads the interpretation work area, software interaction well selection is carried out to establish the interpretation work area.
When the interpretation preparation module is used for setting an interpretation well and an interpretation layer, all layer sections encountered by the well in the loading work area are selected and set to be target interpretation layer sections.
When the interpretation preparation module selects the interpretation mode, the interpretation mode is selected by adopting methods of formula editor standard entry, automatic character string formula analysis, quick interpretation model query, multi-factor comprehensive optimization and automatic data fitting formula.
When the interpretation preparation module selects an interpretation mode, all oil fields, wells and intervals are inquired and displayed, four interpretation methods including inquiry calling, user-defined input, analogy borrowing and automatic fitting are displayed, and interactive setting of a user is facilitated.
The geological parameter interpretation module adopts a reflection programming technology to convert a character string formula into a function formula, so that rapid batch interpretation point by point is realized well by well.
The geological parameter interpretation module inquires interpretation models of target oil fields and intervals in an interpretation model library, and if the interpretation models exist, the geological parameter interpretation module is directly called by adopting a method of inquiry calling; if the interpretation model base does not have the interpretation model of the target oil field and the interval, the geological parameter interpretation module queries the basic database and judges whether the core data is rich or not; if the core data is rich, the geological parameter interpretation module adopts an automatic fitting generation method to perform data preprocessing first, then the core is reset, and finally automatic fitting is performed; if the core data is not abundant, the geological parameter explanation module adopts an analogy borrowing method to carry out analogy borrowing; if no proper borrowing model exists, the geological parameter interpretation module customizes the input method to set an interpretation formula.
The parameter display module visually displays the interpretation result on the logging comprehensive diagram; the interpretation results include geological parameters of reservoir shale content, porosity, permeability, water/oil saturation.
The interpretation result statistical output module statistically calculates the interpreted well point results according to an average weighting algorithm or a thickness weighting algorithm to obtain interpretation parameters of the interval, and respectively outputs the interpretation parameters.
The method and the device for quickly explaining the oil reservoir geological parameters based on the logging model library can quickly, accurately and automatically explain the oil reservoir geological parameters by calling the region explanation model of the model library.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for rapidly interpreting reservoir geological parameters based on a logging model library according to the present invention;
FIG. 2 is a block diagram of an embodiment of the device for rapidly explaining geological parameters of an oil reservoir based on a logging model library.
Detailed Description
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
As shown in fig. 1, fig. 1 is a flow chart of a method for rapidly explaining reservoir geological parameters based on a logging model library according to the present invention.
Step 101, loading an explanation work area; and after the interpretation work area is loaded, the software interactively selects the well to establish the interpretation work area.
102, setting an interpretation well and a layer; and selecting and setting a target explanation layer section by loading all layer sections encountered by the well in the work area.
103, selecting an interpretation mode; the smooth implementation of the step is guaranteed by adopting the technologies of standard entry of a formula editor, automatic analysis of a character string formula, quick query of an interpretation model, comprehensive optimization of multiple factors, automatic fitting of a formula of data and the like. In one embodiment, all fields, wells, and intervals need to be queried and displayed, and four interpretation methods are provided on the software interface: query calling, user-defined input of an interpretation model, analogy borrowing and automatic fitting generation, and a user can flexibly select and set according to the geological characteristics of an interpretation block.
104, quickly and automatically explaining; and a reflection programming technology is adopted to convert the character string formula into a function formula, so that rapid batch interpretation from well to well and from point to point is realized. In one embodiment, the interpretation model of the target oil field and the interval in the interpretation model library needs to be queried, and if the interpretation model exists, the interpretation model is directly invoked by adopting a query invoking method; and if not, inquiring a basic database to see whether the core data is rich or not. If the core data is rich, an automatic fitting generation method is adopted, data is preprocessed firstly, then the core is reset, and finally automatic fitting is carried out; if the core data is not abundant, performing analog borrowing by adopting an analog borrowing method; and if no proper borrowing model exists, the custom input method custom sets an interpretation formula.
105, displaying an interpretation result; and visually displaying the interpretation result on the logging comprehensive diagram. The interpretation result comprises geological parameters such as the shale content of the reservoir, the porosity, the permeability, the water/oil saturation and the like.
And 106, accounting and outputting the interpretation result. In one embodiment, the interpreted well point results are statistically calculated according to an average weighting algorithm or a thickness weighting algorithm to obtain interpretation parameters of the interval, and the interpretation parameters are respectively output. And the well point interpretation result is used for subsequent geological modeling work, and the interval interpretation result is used for subsequent reserve evaluation and calculation.
As shown in fig. 2, fig. 2 is a structural diagram of the device for rapidly explaining reservoir geological parameters based on a logging model library according to the present invention. The device for rapidly interpreting the geological parameters of the oil reservoir based on the logging model library comprises an interpretation preparation module 21, a geological parameter interpretation module 22, a parameter display module 23 and an interpretation result statistic output module 24.
The interpretation preparation module 21 establishes an interpretation work area, loads an interpretation well, sets an interpretation interval and selects an interpretation mode. In one embodiment, all the oil fields, wells and intervals need to be queried and displayed, and all four interpretation methods are displayed, so that the interactive setting of a user is facilitated.
The geological parameter interpretation module 22 is connected to the interpretation preparation module 21 for automatic interpretation, and the character string formula is converted into a function formula by adopting a reflection programming technology, so that rapid batch interpretation from well to well is realized. In one embodiment, the interpretation model of the target oil field and the interval in the interpretation model library needs to be queried, and if the interpretation model exists, the interpretation model is directly invoked by adopting a query invoking method; and if not, inquiring a basic database to see whether the core data is rich or not. If the core data is rich, an automatic fitting generation method is adopted, data is preprocessed firstly, then the core is reset, and finally automatic fitting is carried out; if the core data is not abundant, performing analog borrowing by adopting an analog borrowing method; and if no proper borrowing model exists, the custom input method custom sets an interpretation formula.
The parameter display module 23 is connected to the geological parameter interpretation module 22, and visually displays the interpretation result on the logging comprehensive graph. The interpretation result comprises geological parameters such as the shale content of the reservoir, the porosity, the permeability, the water/oil saturation and the like.
The interpretation result statistical output module 24 is connected to the parameter display module 23, and statistically calculates the interpretation parameters of the interval according to the average weighting algorithm or the thickness weighting algorithm for the interpreted well point results, and outputs the interpretation parameters respectively. And the well point interpretation result is used for subsequent geological modeling work, and the interval interpretation result is used for subsequent reserve evaluation and calculation.

Claims (3)

1. The device is characterized by comprising an interpretation preparation module, a geological parameter interpretation module, a parameter display module and an interpretation result statistic output module, wherein the interpretation preparation module loads an interpretation work area, sets an interpretation well and a layer and selects an interpretation mode; the geological parameter interpretation module is connected with the interpretation preparation module for automatic interpretation; the parameter display module is connected with the geological parameter interpretation module and displays the interpretation result; the interpretation result statistic output module is connected with the parameter display module and used for carrying out statistics and output on interpretation results;
when the interpretation preparation module selects an interpretation mode, the interpretation mode is selected by adopting methods of formula editor standard entry, automatic character string formula analysis, quick interpretation model query, multi-factor comprehensive optimization and automatic data fitting formula;
the geological parameter interpretation module adopts a reflection programming technology to convert a character string formula into a function formula so as to realize rapid batch interpretation point by point well;
the geological parameter interpretation module inquires interpretation models of target oil fields and intervals in an interpretation model library, and if the interpretation models exist, the geological parameter interpretation module is directly called by adopting a method of inquiry calling; if the interpretation model base does not have the interpretation model of the target oil field and the interval, the geological parameter interpretation module queries the basic database and judges whether the core data is rich or not; if the core data is rich, the geological parameter interpretation module adopts an automatic fitting generation method to perform data preprocessing first, then the core is reset, and finally automatic fitting is performed; if the core data is not abundant, the geological parameter explanation module adopts an analogy borrowing method to carry out analogy borrowing; if no appropriate borrowing model exists, the geological parameter interpretation module customizes an input method to set an interpretation formula;
the interpretation result statistical output module statistically calculates the interpreted well point results according to an average weighting algorithm or a thickness weighting algorithm to obtain interpretation parameters of the intervals, and respectively outputs the interpretation parameters;
when setting an interpretation well and an interpretation layer, the interpretation preparation module selects and sets a target interpretation layer section by loading all layer sections encountered by well drilling in a work area;
when the interpretation preparation module selects an interpretation mode, all oil fields, wells and intervals are inquired and displayed, four interpretation methods including inquiry calling, user-defined input, analogy borrowing and automatic fitting are displayed, and interactive setting of a user is facilitated.
2. The device for rapidly interpreting geological parameters of oil reservoirs based on the logging model library as claimed in claim 1, wherein the interpretation preparation module is used for selecting wells by software interaction to establish the interpretation work area after the interpretation work area is loaded.
3. The device for rapidly explaining the geological parameters of the oil reservoir based on the logging model library as claimed in claim 1, wherein the parameter display module is used for visually displaying the explanation result on the logging comprehensive graph; the interpretation results include geological parameters of reservoir shale content, porosity, permeability, water/oil saturation.
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Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090259403A1 (en) * 2008-04-11 2009-10-15 Schlumberger Technology Corporation Method of determining reservoir parameters
CN105569648A (en) * 2014-11-07 2016-05-11 中国石油化工股份有限公司 Reservoir automatic identification method based on log data
CN105986819A (en) * 2015-03-02 2016-10-05 中国石油化工股份有限公司 Method and device used for automatic processing and comprehensive interpretation of logging information

Non-Patent Citations (2)

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